2022-05-18T03:42:02.7788198Z Requested labels: linux.2xlarge
2022-05-18T03:42:02.7788323Z Job defined at: pytorch/pytorch/.github/workflows/_linux-test.yml@refs/heads/master
2022-05-18T03:42:02.7788354Z Waiting for a runner to pick up this job...
2022-05-18T03:42:04.4952174Z Job is about to start running on the runner: i-05da98e60818e15e5 (repository)
2022-05-18T03:42:20.6691116Z Current runner version: '2.291.1'
2022-05-18T03:42:20.6696609Z Runner name: 'i-05da98e60818e15e5'
2022-05-18T03:42:20.6697184Z Runner group name: 'Default'
2022-05-18T03:42:20.6697738Z Machine name: 'ip-10-0-5-43'
2022-05-18T03:42:20.6699575Z ##[group]GITHUB_TOKEN Permissions
2022-05-18T03:42:20.6700255Z Actions: write
2022-05-18T03:42:20.6700542Z Checks: write
2022-05-18T03:42:20.6700778Z Contents: write
2022-05-18T03:42:20.6701066Z Deployments: write
2022-05-18T03:42:20.6701394Z Discussions: write
2022-05-18T03:42:20.6701636Z Issues: write
2022-05-18T03:42:20.6701909Z Metadata: read
2022-05-18T03:42:20.6702187Z Packages: write
2022-05-18T03:42:20.6702436Z Pages: write
2022-05-18T03:42:20.6702780Z PullRequests: write
2022-05-18T03:42:20.6703106Z RepositoryProjects: write
2022-05-18T03:42:20.6703386Z SecurityEvents: write
2022-05-18T03:42:20.6703691Z Statuses: write
2022-05-18T03:42:20.6703968Z ##[endgroup]
2022-05-18T03:42:20.6706839Z Secret source: Actions
2022-05-18T03:42:20.6707439Z Prepare workflow directory
2022-05-18T03:42:20.8803018Z Prepare all required actions
2022-05-18T03:42:20.8961840Z Getting action download info
2022-05-18T03:42:21.0572152Z Download action repository 'pytorch/pytorch@master' (SHA:acf7136a525422459d97d5f993e30afdff18b1b9)
2022-05-18T03:42:23.5396236Z Download action repository 'nick-fields/retry@71062288b76e2b6214ebde0e673ce0de1755740a' (SHA:71062288b76e2b6214ebde0e673ce0de1755740a)
2022-05-18T03:42:23.6292654Z Download action repository 'seemethere/upload-artifact-s3@v4' (SHA:c1c31f57581a11fe6d4d052da6276adb2df71f1e)
2022-05-18T03:42:23.8506024Z Getting action download info
2022-05-18T03:42:24.0737754Z Download action repository 'malfet/checkout@silent-checkout' (SHA:f63e9e15406be6060f159846cd2e098f759c5246)
2022-05-18T03:42:24.2522462Z Getting action download info
2022-05-18T03:42:24.4696526Z ##[group]Run pytorch/pytorch/.github/actions/checkout-pytorch@master
2022-05-18T03:42:24.4696820Z with:
2022-05-18T03:42:24.4696986Z   submodules: recursive
2022-05-18T03:42:24.4697174Z   fetch-depth: 0
2022-05-18T03:42:24.4697356Z env:
2022-05-18T03:42:24.4697498Z   IN_CI: 1
2022-05-18T03:42:24.4697663Z   IS_GHA: 1
2022-05-18T03:42:24.4697844Z   GIT_DEFAULT_BRANCH: master
2022-05-18T03:42:24.4698035Z ##[endgroup]
2022-05-18T03:42:24.4901981Z ##[group]Run echo "${GITHUB_WORKSPACE}"
2022-05-18T03:42:24.4902266Z echo "${GITHUB_WORKSPACE}"
2022-05-18T03:42:24.4902488Z if [ -z "${NO_SUDO}" ]; then
2022-05-18T03:42:24.4902706Z   sudo rm -rf "${GITHUB_WORKSPACE}"
2022-05-18T03:42:24.4902894Z else
2022-05-18T03:42:24.4903084Z   rm -rf "${GITHUB_WORKSPACE}"
2022-05-18T03:42:24.4903273Z fi
2022-05-18T03:42:24.4903446Z mkdir "${GITHUB_WORKSPACE}"
2022-05-18T03:42:24.4918805Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2022-05-18T03:42:24.4919048Z env:
2022-05-18T03:42:24.4919198Z   IN_CI: 1
2022-05-18T03:42:24.4919358Z   IS_GHA: 1
2022-05-18T03:42:24.4919536Z   GIT_DEFAULT_BRANCH: master
2022-05-18T03:42:24.4919711Z   NO_SUDO: 
2022-05-18T03:42:24.4919879Z ##[endgroup]
2022-05-18T03:42:24.5078103Z /home/ec2-user/actions-runner/_work/pytorch/pytorch
2022-05-18T03:42:26.5575442Z ##[group]Run malfet/checkout@silent-checkout
2022-05-18T03:42:26.5575694Z with:
2022-05-18T03:42:26.5575891Z   ref: 3b2375291aab7b48442f2e6fb1ef66cebc761e24
2022-05-18T03:42:26.5576086Z   fetch-depth: 0
2022-05-18T03:42:26.5576272Z   submodules: recursive
2022-05-18T03:42:26.5576457Z   quiet-checkout: true
2022-05-18T03:42:26.5576641Z   repository: pytorch/pytorch
2022-05-18T03:42:26.5576984Z   token: ***
2022-05-18T03:42:26.5577152Z   ssh-strict: true
2022-05-18T03:42:26.5577344Z   persist-credentials: true
2022-05-18T03:42:26.5577519Z   clean: true
2022-05-18T03:42:26.5577679Z   lfs: false
2022-05-18T03:42:26.5577867Z   set-safe-directory: true
2022-05-18T03:42:26.5578030Z env:
2022-05-18T03:42:26.5578178Z   IN_CI: 1
2022-05-18T03:42:26.5578334Z   IS_GHA: 1
2022-05-18T03:42:26.5578496Z   GIT_DEFAULT_BRANCH: master
2022-05-18T03:42:26.5578680Z ##[endgroup]
2022-05-18T03:42:26.6675915Z Syncing repository: pytorch/pytorch
2022-05-18T03:42:26.6677383Z ##[group]Getting Git version info
2022-05-18T03:42:26.6677806Z Working directory is '/home/ec2-user/actions-runner/_work/pytorch/pytorch'
2022-05-18T03:42:26.6678358Z [command]/usr/bin/git version
2022-05-18T03:42:26.6678554Z git version 2.32.0
2022-05-18T03:42:26.6679096Z ##[endgroup]
2022-05-18T03:42:26.6690379Z Temporarily overriding HOME='/home/ec2-user/actions-runner/_work/_temp/05ca1b09-46eb-4ea9-9678-7058d34ae29f' before making global git config changes
2022-05-18T03:42:26.6690800Z Adding repository directory to the temporary git global config as a safe directory
2022-05-18T03:42:26.6695911Z [command]/usr/bin/git config --global --add safe.directory /home/ec2-user/actions-runner/_work/pytorch/pytorch
2022-05-18T03:42:26.6732345Z Deleting the contents of '/home/ec2-user/actions-runner/_work/pytorch/pytorch'
2022-05-18T03:42:26.6736002Z ##[group]Initializing the repository
2022-05-18T03:42:26.6740133Z [command]/usr/bin/git init /home/ec2-user/actions-runner/_work/pytorch/pytorch
2022-05-18T03:42:26.6780813Z hint: Using 'master' as the name for the initial branch. This default branch name
2022-05-18T03:42:26.6781280Z hint: is subject to change. To configure the initial branch name to use in all
2022-05-18T03:42:26.6781801Z hint: of your new repositories, which will suppress this warning, call:
2022-05-18T03:42:26.6782201Z hint: 
2022-05-18T03:42:26.6782559Z hint: 	git config --global init.defaultBranch <name>
2022-05-18T03:42:26.6782868Z hint: 
2022-05-18T03:42:26.6783397Z hint: Names commonly chosen instead of 'master' are 'main', 'trunk' and
2022-05-18T03:42:26.6783934Z hint: 'development'. The just-created branch can be renamed via this command:
2022-05-18T03:42:26.6784170Z hint: 
2022-05-18T03:42:26.6784653Z hint: 	git branch -m <name>
2022-05-18T03:42:26.6785321Z Initialized empty Git repository in /home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/
2022-05-18T03:42:26.6791557Z [command]/usr/bin/git remote add origin https://github.com/pytorch/pytorch
2022-05-18T03:42:26.6829465Z ##[endgroup]
2022-05-18T03:42:26.6829822Z ##[group]Disabling automatic garbage collection
2022-05-18T03:42:26.6833890Z [command]/usr/bin/git config --local gc.auto 0
2022-05-18T03:42:26.6860830Z ##[endgroup]
2022-05-18T03:42:26.6861167Z ##[group]Setting up auth
2022-05-18T03:42:26.6867173Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand
2022-05-18T03:42:26.6896780Z [command]/usr/bin/git submodule foreach --recursive git config --local --name-only --get-regexp 'core\.sshCommand' && git config --local --unset-all 'core.sshCommand' || :
2022-05-18T03:42:26.7136245Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader
2022-05-18T03:42:26.7164137Z [command]/usr/bin/git submodule foreach --recursive git config --local --name-only --get-regexp 'http\.https\:\/\/github\.com\/\.extraheader' && git config --local --unset-all 'http.https://github.com/.extraheader' || :
2022-05-18T03:42:26.7404996Z [command]/usr/bin/git config --local http.https://github.com/.extraheader AUTHORIZATION: basic ***
2022-05-18T03:42:26.7447766Z ##[endgroup]
2022-05-18T03:42:26.7448131Z ##[group]Fetching the repository
2022-05-18T03:42:26.7453525Z [command]/usr/bin/git -c protocol.version=2 fetch --prune --quiet --no-recurse-submodules origin +refs/heads/*:refs/remotes/origin/* +refs/tags/*:refs/tags/*
2022-05-18T03:43:08.1916328Z [command]/usr/bin/git rev-parse --verify --quiet 3b2375291aab7b48442f2e6fb1ef66cebc761e24^{object}
2022-05-18T03:43:08.1942527Z 3b2375291aab7b48442f2e6fb1ef66cebc761e24
2022-05-18T03:43:08.1945372Z ##[endgroup]
2022-05-18T03:43:08.1945884Z ##[group]Determining the checkout info
2022-05-18T03:43:08.1946649Z ##[endgroup]
2022-05-18T03:43:08.1947265Z ##[group]Checking out the ref
2022-05-18T03:43:08.1950753Z [command]/usr/bin/git checkout --quiet --force 3b2375291aab7b48442f2e6fb1ef66cebc761e24
2022-05-18T03:43:09.3520275Z ##[endgroup]
2022-05-18T03:43:09.3520841Z ##[group]Setting up auth for fetching submodules
2022-05-18T03:43:09.3526112Z [command]/usr/bin/git config --global http.https://github.com/.extraheader AUTHORIZATION: basic ***
2022-05-18T03:43:09.3571586Z [command]/usr/bin/git config --global --unset-all url.https://github.com/.insteadOf
2022-05-18T03:43:09.3599666Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf git@github.com:
2022-05-18T03:43:09.3625882Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf org-21003710@github.com:
2022-05-18T03:43:09.3650289Z ##[endgroup]
2022-05-18T03:43:09.3650637Z ##[group]Fetching submodules
2022-05-18T03:43:09.3654826Z [command]/usr/bin/git submodule sync --recursive
2022-05-18T03:43:09.3912552Z [command]/usr/bin/git -c protocol.version=2 submodule update --init --force --recursive
2022-05-18T03:43:09.4162293Z Submodule 'android/libs/fbjni' (https://github.com/facebookincubator/fbjni.git) registered for path 'android/libs/fbjni'
2022-05-18T03:43:09.4163460Z Submodule 'third_party/NNPACK_deps/FP16' (https://github.com/Maratyszcza/FP16.git) registered for path 'third_party/FP16'
2022-05-18T03:43:09.4165505Z Submodule 'third_party/NNPACK_deps/FXdiv' (https://github.com/Maratyszcza/FXdiv.git) registered for path 'third_party/FXdiv'
2022-05-18T03:43:09.4167637Z Submodule 'third_party/NNPACK' (https://github.com/Maratyszcza/NNPACK.git) registered for path 'third_party/NNPACK'
2022-05-18T03:43:09.4169790Z Submodule 'third_party/QNNPACK' (https://github.com/pytorch/QNNPACK) registered for path 'third_party/QNNPACK'
2022-05-18T03:43:09.4172048Z Submodule 'third_party/XNNPACK' (https://github.com/google/XNNPACK.git) registered for path 'third_party/XNNPACK'
2022-05-18T03:43:09.4174739Z Submodule 'third_party/benchmark' (https://github.com/google/benchmark.git) registered for path 'third_party/benchmark'
2022-05-18T03:43:09.4177150Z Submodule 'third_party/cpuinfo' (https://github.com/pytorch/cpuinfo.git) registered for path 'third_party/cpuinfo'
2022-05-18T03:43:09.4179655Z Submodule 'third_party/cub' (https://github.com/NVlabs/cub.git) registered for path 'third_party/cub'
2022-05-18T03:43:09.4182455Z Submodule 'third_party/cudnn_frontend' (https://github.com/NVIDIA/cudnn-frontend.git) registered for path 'third_party/cudnn_frontend'
2022-05-18T03:43:09.4185173Z Submodule 'third_party/eigen' (https://gitlab.com/libeigen/eigen.git) registered for path 'third_party/eigen'
2022-05-18T03:43:09.4188030Z Submodule 'third_party/fbgemm' (https://github.com/pytorch/fbgemm) registered for path 'third_party/fbgemm'
2022-05-18T03:43:09.4191012Z Submodule 'third_party/flatbuffers' (https://github.com/google/flatbuffers.git) registered for path 'third_party/flatbuffers'
2022-05-18T03:43:09.4194224Z Submodule 'third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/fmt'
2022-05-18T03:43:09.4197379Z Submodule 'third_party/foxi' (https://github.com/houseroad/foxi.git) registered for path 'third_party/foxi'
2022-05-18T03:43:09.4200673Z Submodule 'third_party/gemmlowp/gemmlowp' (https://github.com/google/gemmlowp.git) registered for path 'third_party/gemmlowp/gemmlowp'
2022-05-18T03:43:09.4204035Z Submodule 'third_party/gloo' (https://github.com/facebookincubator/gloo) registered for path 'third_party/gloo'
2022-05-18T03:43:09.4207521Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/googletest'
2022-05-18T03:43:09.4211021Z Submodule 'third_party/ideep' (https://github.com/intel/ideep) registered for path 'third_party/ideep'
2022-05-18T03:43:09.4216718Z Submodule 'third_party/ios-cmake' (https://github.com/Yangqing/ios-cmake.git) registered for path 'third_party/ios-cmake'
2022-05-18T03:43:09.4220621Z Submodule 'third_party/kineto' (https://github.com/pytorch/kineto) registered for path 'third_party/kineto'
2022-05-18T03:43:09.4224491Z Submodule 'third_party/nccl/nccl' (https://github.com/NVIDIA/nccl) registered for path 'third_party/nccl/nccl'
2022-05-18T03:43:09.4228496Z Submodule 'third_party/neon2sse' (https://github.com/intel/ARM_NEON_2_x86_SSE.git) registered for path 'third_party/neon2sse'
2022-05-18T03:43:09.4232487Z Submodule 'third_party/onnx' (https://github.com/onnx/onnx.git) registered for path 'third_party/onnx'
2022-05-18T03:43:09.4236754Z Submodule 'third_party/onnx-tensorrt' (https://github.com/onnx/onnx-tensorrt) registered for path 'third_party/onnx-tensorrt'
2022-05-18T03:43:09.4240965Z Submodule 'third_party/pocketfft' (https://github.com/mreineck/pocketfft) registered for path 'third_party/pocketfft'
2022-05-18T03:43:09.4245342Z Submodule 'third_party/protobuf' (https://github.com/protocolbuffers/protobuf.git) registered for path 'third_party/protobuf'
2022-05-18T03:43:09.4249750Z Submodule 'third_party/NNPACK_deps/psimd' (https://github.com/Maratyszcza/psimd.git) registered for path 'third_party/psimd'
2022-05-18T03:43:09.4254284Z Submodule 'third_party/NNPACK_deps/pthreadpool' (https://github.com/Maratyszcza/pthreadpool.git) registered for path 'third_party/pthreadpool'
2022-05-18T03:43:09.4259247Z Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/pybind11'
2022-05-18T03:43:09.4264016Z Submodule 'third_party/python-enum' (https://github.com/PeachPy/enum34.git) registered for path 'third_party/python-enum'
2022-05-18T03:43:09.4268891Z Submodule 'third_party/python-peachpy' (https://github.com/Maratyszcza/PeachPy.git) registered for path 'third_party/python-peachpy'
2022-05-18T03:43:09.4273710Z Submodule 'third_party/python-six' (https://github.com/benjaminp/six.git) registered for path 'third_party/python-six'
2022-05-18T03:43:09.4278816Z Submodule 'third_party/sleef' (https://github.com/shibatch/sleef) registered for path 'third_party/sleef'
2022-05-18T03:43:09.4283990Z Submodule 'third_party/tbb' (https://github.com/01org/tbb) registered for path 'third_party/tbb'
2022-05-18T03:43:09.4289185Z Submodule 'third_party/tensorpipe' (https://github.com/pytorch/tensorpipe.git) registered for path 'third_party/tensorpipe'
2022-05-18T03:43:09.4294790Z Submodule 'third_party/zstd' (https://github.com/facebook/zstd.git) registered for path 'third_party/zstd'
2022-05-18T03:43:09.4352222Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/android/libs/fbjni'...
2022-05-18T03:43:09.6530131Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/FP16'...
2022-05-18T03:43:09.8342646Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/FXdiv'...
2022-05-18T03:43:10.0372866Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/NNPACK'...
2022-05-18T03:43:10.2654074Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/QNNPACK'...
2022-05-18T03:43:10.4948664Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/XNNPACK'...
2022-05-18T03:43:14.9224968Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/benchmark'...
2022-05-18T03:43:15.2594255Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cpuinfo'...
2022-05-18T03:43:15.6804484Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cub'...
2022-05-18T03:43:16.8678587Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cudnn_frontend'...
2022-05-18T03:43:17.7983018Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/eigen'...
2022-05-18T03:43:22.4782067Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm'...
2022-05-18T03:43:22.9776099Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flatbuffers'...
2022-05-18T03:43:23.9123662Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fmt'...
2022-05-18T03:43:24.8837738Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/foxi'...
2022-05-18T03:43:25.0617075Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/gemmlowp/gemmlowp'...
2022-05-18T03:43:25.4303972Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/gloo'...
2022-05-18T03:43:25.6833250Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/googletest'...
2022-05-18T03:43:26.5287818Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ideep'...
2022-05-18T03:43:26.8402333Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ios-cmake'...
2022-05-18T03:43:27.0132854Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto'...
2022-05-18T03:43:28.2010846Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/nccl/nccl'...
2022-05-18T03:43:28.5059168Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/neon2sse'...
2022-05-18T03:43:28.8119044Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/onnx'...
2022-05-18T03:43:29.9975690Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/onnx-tensorrt'...
2022-05-18T03:43:30.3140123Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pocketfft'...
2022-05-18T03:43:30.4928312Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/protobuf'...
2022-05-18T03:43:34.6128374Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/psimd'...
2022-05-18T03:43:34.7961979Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pthreadpool'...
2022-05-18T03:43:34.9988697Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pybind11'...
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2022-05-18T03:44:06.6109355Z Entering 'third_party/tensorpipe'
2022-05-18T03:44:06.6144876Z Entering 'third_party/tensorpipe/third_party/googletest'
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2022-05-18T03:44:06.6242893Z Entering 'third_party/tensorpipe/third_party/pybind11'
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2022-05-18T03:44:06.6353021Z ##[endgroup]
2022-05-18T03:44:06.6353545Z ##[group]Persisting credentials for submodules
2022-05-18T03:44:06.6359676Z [command]/usr/bin/git submodule foreach --recursive git config --local --name-only --get-regexp 'url\.https\:\/\/github\.com\/\.insteadOf' && git config --local --unset-all 'url.https://github.com/.insteadOf' || :
2022-05-18T03:44:06.6610642Z Entering 'android/libs/fbjni'
2022-05-18T03:44:06.6643795Z Entering 'third_party/FP16'
2022-05-18T03:44:06.6675866Z Entering 'third_party/FXdiv'
2022-05-18T03:44:06.6707111Z Entering 'third_party/NNPACK'
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2022-05-18T03:44:06.6772810Z Entering 'third_party/XNNPACK'
2022-05-18T03:44:06.6816517Z Entering 'third_party/benchmark'
2022-05-18T03:44:06.6848200Z Entering 'third_party/cpuinfo'
2022-05-18T03:44:06.6881369Z Entering 'third_party/cub'
2022-05-18T03:44:06.6914167Z Entering 'third_party/cudnn_frontend'
2022-05-18T03:44:06.6951829Z Entering 'third_party/eigen'
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2022-05-18T03:44:06.7018927Z Entering 'third_party/fbgemm/third_party/asmjit'
2022-05-18T03:44:06.7050967Z Entering 'third_party/fbgemm/third_party/cpuinfo'
2022-05-18T03:44:06.7083237Z Entering 'third_party/fbgemm/third_party/googletest'
2022-05-18T03:44:06.7116859Z Entering 'third_party/flatbuffers'
2022-05-18T03:44:06.7151681Z Entering 'third_party/fmt'
2022-05-18T03:44:06.7184939Z Entering 'third_party/foxi'
2022-05-18T03:44:06.7217324Z Entering 'third_party/gemmlowp/gemmlowp'
2022-05-18T03:44:06.7250748Z Entering 'third_party/gloo'
2022-05-18T03:44:06.7284012Z Entering 'third_party/googletest'
2022-05-18T03:44:06.7317334Z Entering 'third_party/ideep'
2022-05-18T03:44:06.7350286Z Entering 'third_party/ideep/mkl-dnn'
2022-05-18T03:44:06.7384188Z Entering 'third_party/ideep/mkl-dnn/third_party/oneDNN'
2022-05-18T03:44:06.7424805Z Entering 'third_party/ios-cmake'
2022-05-18T03:44:06.7458062Z Entering 'third_party/kineto'
2022-05-18T03:44:06.7490704Z Entering 'third_party/kineto/libkineto/third_party/fmt'
2022-05-18T03:44:06.7523491Z Entering 'third_party/kineto/libkineto/third_party/googletest'
2022-05-18T03:44:06.7558930Z Entering 'third_party/nccl/nccl'
2022-05-18T03:44:06.7592591Z Entering 'third_party/neon2sse'
2022-05-18T03:44:06.7625363Z Entering 'third_party/onnx'
2022-05-18T03:44:06.7670158Z Entering 'third_party/onnx/third_party/benchmark'
2022-05-18T03:44:06.7703082Z Entering 'third_party/onnx/third_party/pybind11'
2022-05-18T03:44:06.7737769Z Entering 'third_party/onnx-tensorrt'
2022-05-18T03:44:06.7770173Z Entering 'third_party/onnx-tensorrt/third_party/onnx'
2022-05-18T03:44:06.7807291Z Entering 'third_party/onnx-tensorrt/third_party/onnx/third_party/benchmark'
2022-05-18T03:44:06.7841209Z Entering 'third_party/onnx-tensorrt/third_party/onnx/third_party/pybind11'
2022-05-18T03:44:06.7873925Z Entering 'third_party/onnx-tensorrt/third_party/onnx/third_party/pybind11/tools/clang'
2022-05-18T03:44:06.7911642Z Entering 'third_party/pocketfft'
2022-05-18T03:44:06.7944755Z Entering 'third_party/protobuf'
2022-05-18T03:44:06.7982875Z Entering 'third_party/protobuf/third_party/benchmark'
2022-05-18T03:44:06.8015657Z Entering 'third_party/protobuf/third_party/googletest'
2022-05-18T03:44:06.8049267Z Entering 'third_party/psimd'
2022-05-18T03:44:06.8081809Z Entering 'third_party/pthreadpool'
2022-05-18T03:44:06.8115418Z Entering 'third_party/pybind11'
2022-05-18T03:44:06.8149225Z Entering 'third_party/python-enum'
2022-05-18T03:44:06.8182480Z Entering 'third_party/python-peachpy'
2022-05-18T03:44:06.8214761Z Entering 'third_party/python-six'
2022-05-18T03:44:06.8246434Z Entering 'third_party/sleef'
2022-05-18T03:44:06.8279527Z Entering 'third_party/tbb'
2022-05-18T03:44:06.8315096Z Entering 'third_party/tensorpipe'
2022-05-18T03:44:06.8348786Z Entering 'third_party/tensorpipe/third_party/googletest'
2022-05-18T03:44:06.8382464Z Entering 'third_party/tensorpipe/third_party/libnop'
2022-05-18T03:44:06.8414305Z Entering 'third_party/tensorpipe/third_party/libuv'
2022-05-18T03:44:06.8447163Z Entering 'third_party/tensorpipe/third_party/pybind11'
2022-05-18T03:44:06.8478999Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang'
2022-05-18T03:44:06.8515143Z Entering 'third_party/zstd'
2022-05-18T03:44:06.8558931Z [command]/usr/bin/git submodule foreach --recursive git config --local 'http.https://github.com/.extraheader' 'AUTHORIZATION: basic ***' && git config --local --show-origin --name-only --get-regexp remote.origin.url
2022-05-18T03:44:06.8811283Z Entering 'android/libs/fbjni'
2022-05-18T03:44:06.8842975Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/android/libs/fbjni/config	remote.origin.url
2022-05-18T03:44:06.8856693Z Entering 'third_party/FP16'
2022-05-18T03:44:06.8886518Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/FP16/config	remote.origin.url
2022-05-18T03:44:06.8900068Z Entering 'third_party/FXdiv'
2022-05-18T03:44:06.8930306Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/FXdiv/config	remote.origin.url
2022-05-18T03:44:06.8944787Z Entering 'third_party/NNPACK'
2022-05-18T03:44:06.8975533Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK/config	remote.origin.url
2022-05-18T03:44:06.8988912Z Entering 'third_party/QNNPACK'
2022-05-18T03:44:06.9019460Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/QNNPACK/config	remote.origin.url
2022-05-18T03:44:06.9032929Z Entering 'third_party/XNNPACK'
2022-05-18T03:44:06.9064272Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/XNNPACK/config	remote.origin.url
2022-05-18T03:44:06.9086955Z Entering 'third_party/benchmark'
2022-05-18T03:44:06.9117785Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/benchmark/config	remote.origin.url
2022-05-18T03:44:06.9131025Z Entering 'third_party/cpuinfo'
2022-05-18T03:44:06.9161687Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/cpuinfo/config	remote.origin.url
2022-05-18T03:44:06.9175960Z Entering 'third_party/cub'
2022-05-18T03:44:06.9206782Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/cub/config	remote.origin.url
2022-05-18T03:44:06.9220649Z Entering 'third_party/cudnn_frontend'
2022-05-18T03:44:06.9251555Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/cudnn_frontend/config	remote.origin.url
2022-05-18T03:44:06.9269809Z Entering 'third_party/eigen'
2022-05-18T03:44:06.9301355Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/eigen/config	remote.origin.url
2022-05-18T03:44:06.9316796Z Entering 'third_party/fbgemm'
2022-05-18T03:44:06.9348529Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/config	remote.origin.url
2022-05-18T03:44:06.9362080Z Entering 'third_party/fbgemm/third_party/asmjit'
2022-05-18T03:44:06.9393121Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/third_party/asmjit/config	remote.origin.url
2022-05-18T03:44:06.9406413Z Entering 'third_party/fbgemm/third_party/cpuinfo'
2022-05-18T03:44:06.9437912Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/third_party/cpuinfo/config	remote.origin.url
2022-05-18T03:44:06.9451900Z Entering 'third_party/fbgemm/third_party/googletest'
2022-05-18T03:44:06.9483033Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/third_party/googletest/config	remote.origin.url
2022-05-18T03:44:06.9498789Z Entering 'third_party/flatbuffers'
2022-05-18T03:44:06.9529022Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/flatbuffers/config	remote.origin.url
2022-05-18T03:44:06.9544267Z Entering 'third_party/fmt'
2022-05-18T03:44:06.9575420Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/fmt/config	remote.origin.url
2022-05-18T03:44:06.9589761Z Entering 'third_party/foxi'
2022-05-18T03:44:06.9621015Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/foxi/config	remote.origin.url
2022-05-18T03:44:06.9634594Z Entering 'third_party/gemmlowp/gemmlowp'
2022-05-18T03:44:06.9665542Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/gemmlowp/gemmlowp/config	remote.origin.url
2022-05-18T03:44:06.9679374Z Entering 'third_party/gloo'
2022-05-18T03:44:06.9710463Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/gloo/config	remote.origin.url
2022-05-18T03:44:06.9724552Z Entering 'third_party/googletest'
2022-05-18T03:44:06.9755820Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/googletest/config	remote.origin.url
2022-05-18T03:44:06.9769806Z Entering 'third_party/ideep'
2022-05-18T03:44:06.9802576Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/ideep/config	remote.origin.url
2022-05-18T03:44:06.9815719Z Entering 'third_party/ideep/mkl-dnn'
2022-05-18T03:44:06.9846470Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/ideep/modules/mkl-dnn/config	remote.origin.url
2022-05-18T03:44:06.9861065Z Entering 'third_party/ideep/mkl-dnn/third_party/oneDNN'
2022-05-18T03:44:06.9891603Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/ideep/modules/mkl-dnn/modules/third_party/oneDNN/config	remote.origin.url
2022-05-18T03:44:06.9911134Z Entering 'third_party/ios-cmake'
2022-05-18T03:44:06.9942156Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/ios-cmake/config	remote.origin.url
2022-05-18T03:44:06.9955348Z Entering 'third_party/kineto'
2022-05-18T03:44:06.9986929Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/config	remote.origin.url
2022-05-18T03:44:07.0000494Z Entering 'third_party/kineto/libkineto/third_party/fmt'
2022-05-18T03:44:07.0031326Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/fmt/config	remote.origin.url
2022-05-18T03:44:07.0044508Z Entering 'third_party/kineto/libkineto/third_party/googletest'
2022-05-18T03:44:07.0076625Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/googletest/config	remote.origin.url
2022-05-18T03:44:07.0091851Z Entering 'third_party/nccl/nccl'
2022-05-18T03:44:07.0122421Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/nccl/nccl/config	remote.origin.url
2022-05-18T03:44:07.0136360Z Entering 'third_party/neon2sse'
2022-05-18T03:44:07.0166835Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/neon2sse/config	remote.origin.url
2022-05-18T03:44:07.0181266Z Entering 'third_party/onnx'
2022-05-18T03:44:07.0211650Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/onnx/config	remote.origin.url
2022-05-18T03:44:07.0235494Z Entering 'third_party/onnx/third_party/benchmark'
2022-05-18T03:44:07.0266283Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/onnx/modules/third_party/benchmark/config	remote.origin.url
2022-05-18T03:44:07.0279915Z Entering 'third_party/onnx/third_party/pybind11'
2022-05-18T03:44:07.0312199Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/onnx/modules/third_party/pybind11/config	remote.origin.url
2022-05-18T03:44:07.0327340Z Entering 'third_party/onnx-tensorrt'
2022-05-18T03:44:07.0358155Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/onnx-tensorrt/config	remote.origin.url
2022-05-18T03:44:07.0371180Z Entering 'third_party/onnx-tensorrt/third_party/onnx'
2022-05-18T03:44:07.0401488Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/onnx-tensorrt/modules/third_party/onnx/config	remote.origin.url
2022-05-18T03:44:07.0420684Z Entering 'third_party/onnx-tensorrt/third_party/onnx/third_party/benchmark'
2022-05-18T03:44:07.0450918Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/onnx-tensorrt/modules/third_party/onnx/modules/third_party/benchmark/config	remote.origin.url
2022-05-18T03:44:07.0464150Z Entering 'third_party/onnx-tensorrt/third_party/onnx/third_party/pybind11'
2022-05-18T03:44:07.0494848Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/onnx-tensorrt/modules/third_party/onnx/modules/third_party/pybind11/config	remote.origin.url
2022-05-18T03:44:07.0507807Z Entering 'third_party/onnx-tensorrt/third_party/onnx/third_party/pybind11/tools/clang'
2022-05-18T03:44:07.0539899Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/onnx-tensorrt/modules/third_party/onnx/modules/third_party/pybind11/modules/tools/clang/config	remote.origin.url
2022-05-18T03:44:07.0557504Z Entering 'third_party/pocketfft'
2022-05-18T03:44:07.0588228Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/pocketfft/config	remote.origin.url
2022-05-18T03:44:07.0601433Z Entering 'third_party/protobuf'
2022-05-18T03:44:07.0632076Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/protobuf/config	remote.origin.url
2022-05-18T03:44:07.0648948Z Entering 'third_party/protobuf/third_party/benchmark'
2022-05-18T03:44:07.0684839Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/protobuf/modules/third_party/benchmark/config	remote.origin.url
2022-05-18T03:44:07.0697965Z Entering 'third_party/protobuf/third_party/googletest'
2022-05-18T03:44:07.0728233Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/protobuf/modules/third_party/googletest/config	remote.origin.url
2022-05-18T03:44:07.0743366Z Entering 'third_party/psimd'
2022-05-18T03:44:07.0774469Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/psimd/config	remote.origin.url
2022-05-18T03:44:07.0787525Z Entering 'third_party/pthreadpool'
2022-05-18T03:44:07.0819991Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/pthreadpool/config	remote.origin.url
2022-05-18T03:44:07.0833429Z Entering 'third_party/pybind11'
2022-05-18T03:44:07.0864009Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/pybind11/config	remote.origin.url
2022-05-18T03:44:07.0877758Z Entering 'third_party/python-enum'
2022-05-18T03:44:07.0908733Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/python-enum/config	remote.origin.url
2022-05-18T03:44:07.0922342Z Entering 'third_party/python-peachpy'
2022-05-18T03:44:07.0953124Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/python-peachpy/config	remote.origin.url
2022-05-18T03:44:07.0967125Z Entering 'third_party/python-six'
2022-05-18T03:44:07.0998288Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/python-six/config	remote.origin.url
2022-05-18T03:44:07.1011921Z Entering 'third_party/sleef'
2022-05-18T03:44:07.1041971Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/sleef/config	remote.origin.url
2022-05-18T03:44:07.1056601Z Entering 'third_party/tbb'
2022-05-18T03:44:07.1086216Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/tbb/config	remote.origin.url
2022-05-18T03:44:07.1101664Z Entering 'third_party/tensorpipe'
2022-05-18T03:44:07.1131610Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/config	remote.origin.url
2022-05-18T03:44:07.1145030Z Entering 'third_party/tensorpipe/third_party/googletest'
2022-05-18T03:44:07.1175619Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/googletest/config	remote.origin.url
2022-05-18T03:44:07.1189621Z Entering 'third_party/tensorpipe/third_party/libnop'
2022-05-18T03:44:07.1218976Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/libnop/config	remote.origin.url
2022-05-18T03:44:07.1231619Z Entering 'third_party/tensorpipe/third_party/libuv'
2022-05-18T03:44:07.1261805Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/libuv/config	remote.origin.url
2022-05-18T03:44:07.1275313Z Entering 'third_party/tensorpipe/third_party/pybind11'
2022-05-18T03:44:07.1305854Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/pybind11/config	remote.origin.url
2022-05-18T03:44:07.1318445Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang'
2022-05-18T03:44:07.1348422Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/pybind11/modules/tools/clang/config	remote.origin.url
2022-05-18T03:44:07.1364442Z Entering 'third_party/zstd'
2022-05-18T03:44:07.1394570Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/zstd/config	remote.origin.url
2022-05-18T03:44:07.2014402Z [command]/usr/bin/git submodule foreach --recursive git config --local --add 'url.https://github.com/.insteadOf' 'git@github.com:'
2022-05-18T03:44:07.2267630Z Entering 'android/libs/fbjni'
2022-05-18T03:44:07.2300518Z Entering 'third_party/FP16'
2022-05-18T03:44:07.2333646Z Entering 'third_party/FXdiv'
2022-05-18T03:44:07.2367218Z Entering 'third_party/NNPACK'
2022-05-18T03:44:07.2402444Z Entering 'third_party/QNNPACK'
2022-05-18T03:44:07.2436184Z Entering 'third_party/XNNPACK'
2022-05-18T03:44:07.2479620Z Entering 'third_party/benchmark'
2022-05-18T03:44:07.2514531Z Entering 'third_party/cpuinfo'
2022-05-18T03:44:07.2549173Z Entering 'third_party/cub'
2022-05-18T03:44:07.2583866Z Entering 'third_party/cudnn_frontend'
2022-05-18T03:44:07.2622401Z Entering 'third_party/eigen'
2022-05-18T03:44:07.2656871Z Entering 'third_party/fbgemm'
2022-05-18T03:44:07.2690716Z Entering 'third_party/fbgemm/third_party/asmjit'
2022-05-18T03:44:07.2723880Z Entering 'third_party/fbgemm/third_party/cpuinfo'
2022-05-18T03:44:07.2757519Z Entering 'third_party/fbgemm/third_party/googletest'
2022-05-18T03:44:07.2791895Z Entering 'third_party/flatbuffers'
2022-05-18T03:44:07.2827458Z Entering 'third_party/fmt'
2022-05-18T03:44:07.2862232Z Entering 'third_party/foxi'
2022-05-18T03:44:07.2895487Z Entering 'third_party/gemmlowp/gemmlowp'
2022-05-18T03:44:07.2928539Z Entering 'third_party/gloo'
2022-05-18T03:44:07.2961948Z Entering 'third_party/googletest'
2022-05-18T03:44:07.2995363Z Entering 'third_party/ideep'
2022-05-18T03:44:07.3028542Z Entering 'third_party/ideep/mkl-dnn'
2022-05-18T03:44:07.3062762Z Entering 'third_party/ideep/mkl-dnn/third_party/oneDNN'
2022-05-18T03:44:07.3102056Z Entering 'third_party/ios-cmake'
2022-05-18T03:44:07.3135485Z Entering 'third_party/kineto'
2022-05-18T03:44:07.3168174Z Entering 'third_party/kineto/libkineto/third_party/fmt'
2022-05-18T03:44:07.3201287Z Entering 'third_party/kineto/libkineto/third_party/googletest'
2022-05-18T03:44:07.3235962Z Entering 'third_party/nccl/nccl'
2022-05-18T03:44:07.3268579Z Entering 'third_party/neon2sse'
2022-05-18T03:44:07.3302662Z Entering 'third_party/onnx'
2022-05-18T03:44:07.3345307Z Entering 'third_party/onnx/third_party/benchmark'
2022-05-18T03:44:07.3379742Z Entering 'third_party/onnx/third_party/pybind11'
2022-05-18T03:44:07.3414113Z Entering 'third_party/onnx-tensorrt'
2022-05-18T03:44:07.3447024Z Entering 'third_party/onnx-tensorrt/third_party/onnx'
2022-05-18T03:44:07.3483670Z Entering 'third_party/onnx-tensorrt/third_party/onnx/third_party/benchmark'
2022-05-18T03:44:07.3516936Z Entering 'third_party/onnx-tensorrt/third_party/onnx/third_party/pybind11'
2022-05-18T03:44:07.3549576Z Entering 'third_party/onnx-tensorrt/third_party/onnx/third_party/pybind11/tools/clang'
2022-05-18T03:44:07.3586279Z Entering 'third_party/pocketfft'
2022-05-18T03:44:07.3618865Z Entering 'third_party/protobuf'
2022-05-18T03:44:07.3654866Z Entering 'third_party/protobuf/third_party/benchmark'
2022-05-18T03:44:07.3687860Z Entering 'third_party/protobuf/third_party/googletest'
2022-05-18T03:44:07.3722345Z Entering 'third_party/psimd'
2022-05-18T03:44:07.3755425Z Entering 'third_party/pthreadpool'
2022-05-18T03:44:07.3788583Z Entering 'third_party/pybind11'
2022-05-18T03:44:07.3822127Z Entering 'third_party/python-enum'
2022-05-18T03:44:07.3853979Z Entering 'third_party/python-peachpy'
2022-05-18T03:44:07.3887731Z Entering 'third_party/python-six'
2022-05-18T03:44:07.3921613Z Entering 'third_party/sleef'
2022-05-18T03:44:07.3954867Z Entering 'third_party/tbb'
2022-05-18T03:44:07.3989261Z Entering 'third_party/tensorpipe'
2022-05-18T03:44:07.4022640Z Entering 'third_party/tensorpipe/third_party/googletest'
2022-05-18T03:44:07.4055294Z Entering 'third_party/tensorpipe/third_party/libnop'
2022-05-18T03:44:07.4087388Z Entering 'third_party/tensorpipe/third_party/libuv'
2022-05-18T03:44:07.4120155Z Entering 'third_party/tensorpipe/third_party/pybind11'
2022-05-18T03:44:07.4151853Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang'
2022-05-18T03:44:07.4188316Z Entering 'third_party/zstd'
2022-05-18T03:44:07.4233219Z [command]/usr/bin/git submodule foreach --recursive git config --local --add 'url.https://github.com/.insteadOf' 'org-21003710@github.com:'
2022-05-18T03:44:07.4484871Z Entering 'android/libs/fbjni'
2022-05-18T03:44:07.4517893Z Entering 'third_party/FP16'
2022-05-18T03:44:07.4551558Z Entering 'third_party/FXdiv'
2022-05-18T03:44:07.4585113Z Entering 'third_party/NNPACK'
2022-05-18T03:44:07.4617787Z Entering 'third_party/QNNPACK'
2022-05-18T03:44:07.4650408Z Entering 'third_party/XNNPACK'
2022-05-18T03:44:07.4693590Z Entering 'third_party/benchmark'
2022-05-18T03:44:07.4726610Z Entering 'third_party/cpuinfo'
2022-05-18T03:44:07.4760031Z Entering 'third_party/cub'
2022-05-18T03:44:07.4793768Z Entering 'third_party/cudnn_frontend'
2022-05-18T03:44:07.4831672Z Entering 'third_party/eigen'
2022-05-18T03:44:07.4866949Z Entering 'third_party/fbgemm'
2022-05-18T03:44:07.4899667Z Entering 'third_party/fbgemm/third_party/asmjit'
2022-05-18T03:44:07.4931772Z Entering 'third_party/fbgemm/third_party/cpuinfo'
2022-05-18T03:44:07.4966513Z Entering 'third_party/fbgemm/third_party/googletest'
2022-05-18T03:44:07.5000166Z Entering 'third_party/flatbuffers'
2022-05-18T03:44:07.5035419Z Entering 'third_party/fmt'
2022-05-18T03:44:07.5068342Z Entering 'third_party/foxi'
2022-05-18T03:44:07.5101139Z Entering 'third_party/gemmlowp/gemmlowp'
2022-05-18T03:44:07.5133085Z Entering 'third_party/gloo'
2022-05-18T03:44:07.5166258Z Entering 'third_party/googletest'
2022-05-18T03:44:07.5198837Z Entering 'third_party/ideep'
2022-05-18T03:44:07.5230953Z Entering 'third_party/ideep/mkl-dnn'
2022-05-18T03:44:07.5265263Z Entering 'third_party/ideep/mkl-dnn/third_party/oneDNN'
2022-05-18T03:44:07.5303548Z Entering 'third_party/ios-cmake'
2022-05-18T03:44:07.5335826Z Entering 'third_party/kineto'
2022-05-18T03:44:07.5368106Z Entering 'third_party/kineto/libkineto/third_party/fmt'
2022-05-18T03:44:07.5402672Z Entering 'third_party/kineto/libkineto/third_party/googletest'
2022-05-18T03:44:07.5436629Z Entering 'third_party/nccl/nccl'
2022-05-18T03:44:07.5469661Z Entering 'third_party/neon2sse'
2022-05-18T03:44:07.5502811Z Entering 'third_party/onnx'
2022-05-18T03:44:07.5545720Z Entering 'third_party/onnx/third_party/benchmark'
2022-05-18T03:44:07.5577995Z Entering 'third_party/onnx/third_party/pybind11'
2022-05-18T03:44:07.5611871Z Entering 'third_party/onnx-tensorrt'
2022-05-18T03:44:07.5644418Z Entering 'third_party/onnx-tensorrt/third_party/onnx'
2022-05-18T03:44:07.5681270Z Entering 'third_party/onnx-tensorrt/third_party/onnx/third_party/benchmark'
2022-05-18T03:44:07.5713823Z Entering 'third_party/onnx-tensorrt/third_party/onnx/third_party/pybind11'
2022-05-18T03:44:07.5746745Z Entering 'third_party/onnx-tensorrt/third_party/onnx/third_party/pybind11/tools/clang'
2022-05-18T03:44:07.5783151Z Entering 'third_party/pocketfft'
2022-05-18T03:44:07.5816203Z Entering 'third_party/protobuf'
2022-05-18T03:44:07.5852247Z Entering 'third_party/protobuf/third_party/benchmark'
2022-05-18T03:44:07.5884771Z Entering 'third_party/protobuf/third_party/googletest'
2022-05-18T03:44:07.5919194Z Entering 'third_party/psimd'
2022-05-18T03:44:07.5952196Z Entering 'third_party/pthreadpool'
2022-05-18T03:44:07.5985726Z Entering 'third_party/pybind11'
2022-05-18T03:44:07.6018454Z Entering 'third_party/python-enum'
2022-05-18T03:44:07.6051370Z Entering 'third_party/python-peachpy'
2022-05-18T03:44:07.6084063Z Entering 'third_party/python-six'
2022-05-18T03:44:07.6117373Z Entering 'third_party/sleef'
2022-05-18T03:44:07.6151128Z Entering 'third_party/tbb'
2022-05-18T03:44:07.6186408Z Entering 'third_party/tensorpipe'
2022-05-18T03:44:07.6219335Z Entering 'third_party/tensorpipe/third_party/googletest'
2022-05-18T03:44:07.6251712Z Entering 'third_party/tensorpipe/third_party/libnop'
2022-05-18T03:44:07.6284779Z Entering 'third_party/tensorpipe/third_party/libuv'
2022-05-18T03:44:07.6317104Z Entering 'third_party/tensorpipe/third_party/pybind11'
2022-05-18T03:44:07.6351876Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang'
2022-05-18T03:44:07.6386958Z Entering 'third_party/zstd'
2022-05-18T03:44:07.6428160Z ##[endgroup]
2022-05-18T03:44:07.6466488Z [command]/usr/bin/git log -1 --format='%H'
2022-05-18T03:44:07.6491566Z '3b2375291aab7b48442f2e6fb1ef66cebc761e24'
2022-05-18T03:44:07.6609556Z Prepare all required actions
2022-05-18T03:44:07.6634148Z ##[group]Run ./.github/actions/setup-linux
2022-05-18T03:44:07.6634381Z env:
2022-05-18T03:44:07.6634556Z   IN_CI: 1
2022-05-18T03:44:07.6634750Z   IS_GHA: 1
2022-05-18T03:44:07.6635050Z   GIT_DEFAULT_BRANCH: master
2022-05-18T03:44:07.6635257Z ##[endgroup]
2022-05-18T03:44:07.6648663Z ##[group]Run set -euo pipefail
2022-05-18T03:44:07.6648928Z set -euo pipefail
2022-05-18T03:44:07.6649170Z function get_ec2_metadata() {
2022-05-18T03:44:07.6649437Z   # Pulled from instance metadata endpoint for EC2
2022-05-18T03:44:07.6649824Z   # see https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/instancedata-data-retrieval.html
2022-05-18T03:44:07.6650162Z   category=$1
2022-05-18T03:44:07.6650425Z   curl -fsSL "http://169.254.169.254/latest/meta-data/${category}"
2022-05-18T03:44:07.6650681Z }
2022-05-18T03:44:07.6650942Z echo "ami-id: $(get_ec2_metadata ami-id)"
2022-05-18T03:44:07.6651220Z echo "instance-id: $(get_ec2_metadata instance-id)"
2022-05-18T03:44:07.6651530Z echo "instance-type: $(get_ec2_metadata instance-type)"
2022-05-18T03:44:07.6651811Z echo "system info $(uname -a)"
2022-05-18T03:44:07.6663267Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2022-05-18T03:44:07.6663514Z env:
2022-05-18T03:44:07.6663702Z   IN_CI: 1
2022-05-18T03:44:07.6663881Z   IS_GHA: 1
2022-05-18T03:44:07.6664094Z   GIT_DEFAULT_BRANCH: master
2022-05-18T03:44:07.6664311Z ##[endgroup]
2022-05-18T03:44:07.6745542Z ami-id: ami-096198a0bccc6bad4
2022-05-18T03:44:07.6793593Z instance-id: i-05da98e60818e15e5
2022-05-18T03:44:07.6840402Z instance-type: c5.2xlarge
2022-05-18T03:44:07.6846846Z system info Linux ip-10-0-5-43.ec2.internal 4.14.252-195.483.amzn2.x86_64 #1 SMP Mon Nov 1 20:58:46 UTC 2021 x86_64 x86_64 x86_64 GNU/Linux
2022-05-18T03:44:07.6860403Z ##[group]Run if systemctl is-active --quiet docker; then
2022-05-18T03:44:07.6860712Z if systemctl is-active --quiet docker; then
2022-05-18T03:44:07.6860942Z     echo "Docker daemon is running...";
2022-05-18T03:44:07.6861141Z else
2022-05-18T03:44:07.6861376Z     echo "Starting docker deamon..." && sudo systemctl start docker;
2022-05-18T03:44:07.6861587Z fi
2022-05-18T03:44:07.6872400Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2022-05-18T03:44:07.6872620Z env:
2022-05-18T03:44:07.6872759Z   IN_CI: 1
2022-05-18T03:44:07.6872917Z   IS_GHA: 1
2022-05-18T03:44:07.6873098Z   GIT_DEFAULT_BRANCH: master
2022-05-18T03:44:07.6873268Z ##[endgroup]
2022-05-18T03:44:07.6926303Z Docker daemon is running...
2022-05-18T03:44:07.6940040Z ##[group]Run AWS_ACCOUNT_ID=$(aws sts get-caller-identity|grep Account|cut -f4 -d\")
2022-05-18T03:44:07.6940423Z AWS_ACCOUNT_ID=$(aws sts get-caller-identity|grep Account|cut -f4 -d\")
2022-05-18T03:44:07.6940742Z retry () { "$@"  || (sleep 1 && "$@") || (sleep 2 && "$@") }
2022-05-18T03:44:07.6941143Z retry aws ecr get-login*** "$AWS_DEFAULT_REGION" | docker login --username AWS \
2022-05-18T03:44:07.6941502Z     --password-stdin "$AWS_ACCOUNT_ID.dkr.ecr.$AWS_DEFAULT_REGION.amazonaws.com"
2022-05-18T03:44:07.6951664Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2022-05-18T03:44:07.6951907Z env:
2022-05-18T03:44:07.6952079Z   IN_CI: 1
2022-05-18T03:44:07.6952266Z   IS_GHA: 1
2022-05-18T03:44:07.6952477Z   GIT_DEFAULT_BRANCH: master
2022-05-18T03:44:07.6952690Z   AWS_RETRY_MODE: standard
2022-05-18T03:44:07.6952908Z   AWS_MAX_ATTEMPTS: 5
2022-05-18T03:44:07.6953133Z   AWS_DEFAULT_REGION: us-east-1
2022-05-18T03:44:07.6953345Z ##[endgroup]
2022-05-18T03:44:08.4821266Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json.
2022-05-18T03:44:08.4821684Z Configure a credential helper to remove this warning. See
2022-05-18T03:44:08.4822327Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store
2022-05-18T03:44:08.4822620Z 
2022-05-18T03:44:08.4822761Z Login Succeeded
2022-05-18T03:44:08.4856888Z ##[group]Run env | grep '^GITHUB' > "/tmp/github_env_${GITHUB_RUN_ID}"
2022-05-18T03:44:08.4857186Z env | grep '^GITHUB' > "/tmp/github_env_${GITHUB_RUN_ID}"
2022-05-18T03:44:08.4868455Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2022-05-18T03:44:08.4868677Z env:
2022-05-18T03:44:08.4868839Z   IN_CI: 1
2022-05-18T03:44:08.4868986Z   IS_GHA: 1
2022-05-18T03:44:08.4869165Z   GIT_DEFAULT_BRANCH: master
2022-05-18T03:44:08.4869354Z ##[endgroup]
2022-05-18T03:44:08.4918615Z Prepare all required actions
2022-05-18T03:44:08.4918861Z Getting action download info
2022-05-18T03:44:08.6351339Z Download action repository 'seemethere/add-github-ssh-key@v1' (SHA:1ecffedb1e192a50aa67dba2f0e048e5d3bfa144)
2022-05-18T03:44:08.7414135Z ##[group]Run ./.github/actions/setup-ssh
2022-05-18T03:44:08.7414341Z with:
2022-05-18T03:44:08.7414856Z   github-secret: ***
2022-05-18T03:44:08.7415031Z env:
2022-05-18T03:44:08.7415185Z   IN_CI: 1
2022-05-18T03:44:08.7415331Z   IS_GHA: 1
2022-05-18T03:44:08.7415509Z   GIT_DEFAULT_BRANCH: master
2022-05-18T03:44:08.7415690Z ##[endgroup]
2022-05-18T03:44:08.7433304Z ##[group]Run seemethere/add-github-ssh-key@v1
2022-05-18T03:44:08.7433511Z with:
2022-05-18T03:44:08.7433785Z   GITHUB_TOKEN: ***
2022-05-18T03:44:08.7433983Z   activate-with-label: false
2022-05-18T03:44:08.7434161Z   label: with-ssh
2022-05-18T03:44:08.7434351Z   remove-existing-keys: true
2022-05-18T03:44:08.7434536Z env:
2022-05-18T03:44:08.7434673Z   IN_CI: 1
2022-05-18T03:44:08.7434863Z   IS_GHA: 1
2022-05-18T03:44:08.7435107Z   GIT_DEFAULT_BRANCH: master
2022-05-18T03:44:08.7435300Z ##[endgroup]
2022-05-18T03:44:08.7943544Z Not on pull request and ciflow reference could not be extracted, skipping adding ssh keys
2022-05-18T03:44:08.7982445Z Prepare all required actions
2022-05-18T03:44:08.7997192Z ##[group]Run ./.github/actions/pull-docker-image
2022-05-18T03:44:08.7997396Z with:
2022-05-18T03:44:08.7997743Z   docker-image: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-xenial-py3-clang7-onnx:6deab82db6a72ca54cd3e3322ee4f13864536734
2022-05-18T03:44:08.7998067Z env:
2022-05-18T03:44:08.7998220Z   IN_CI: 1
2022-05-18T03:44:08.7998380Z   IS_GHA: 1
2022-05-18T03:44:08.7998547Z   GIT_DEFAULT_BRANCH: master
2022-05-18T03:44:08.7998730Z ##[endgroup]
2022-05-18T03:44:08.8009801Z ##[group]Run retry () { "$@"  || (sleep 1 && "$@") || (sleep 2 && "$@") }
2022-05-18T03:44:08.8010064Z retry () { "$@"  || (sleep 1 && "$@") || (sleep 2 && "$@") }
2022-05-18T03:44:08.8010304Z retry docker pull "${DOCKER_IMAGE}"
2022-05-18T03:44:08.8021788Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2022-05-18T03:44:08.8022121Z env:
2022-05-18T03:44:08.8022284Z   IN_CI: 1
2022-05-18T03:44:08.8022471Z   IS_GHA: 1
2022-05-18T03:44:08.8022654Z   GIT_DEFAULT_BRANCH: master
2022-05-18T03:44:08.8023015Z   DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-xenial-py3-clang7-onnx:6deab82db6a72ca54cd3e3322ee4f13864536734
2022-05-18T03:44:08.8023363Z ##[endgroup]
2022-05-18T03:44:09.0412182Z 6deab82db6a72ca54cd3e3322ee4f13864536734: Pulling from pytorch/pytorch-linux-xenial-py3-clang7-onnx
2022-05-18T03:44:09.0416140Z 58690f9b18fc: Pulling fs layer
2022-05-18T03:44:09.0419924Z b51569e7c507: Pulling fs layer
2022-05-18T03:44:09.0420597Z da8ef40b9eca: Pulling fs layer
2022-05-18T03:44:09.0420992Z fb15d46c38dc: Pulling fs layer
2022-05-18T03:44:09.0421385Z 71269d108617: Pulling fs layer
2022-05-18T03:44:09.0421696Z 10537a6d3150: Pulling fs layer
2022-05-18T03:44:09.0422007Z 59eb2c098585: Pulling fs layer
2022-05-18T03:44:09.0422348Z 69da8e453b83: Pulling fs layer
2022-05-18T03:44:09.0422674Z fb15d46c38dc: Waiting
2022-05-18T03:44:09.0422999Z 52905a521e7e: Pulling fs layer
2022-05-18T03:44:09.0423327Z 71269d108617: Waiting
2022-05-18T03:44:09.0423632Z 5526374c6ff0: Pulling fs layer
2022-05-18T03:44:09.0423949Z 59eb2c098585: Waiting
2022-05-18T03:44:09.0424244Z 69da8e453b83: Waiting
2022-05-18T03:44:09.0424563Z a820f3decf8c: Pulling fs layer
2022-05-18T03:44:09.0424884Z 10537a6d3150: Waiting
2022-05-18T03:44:09.0425178Z 52905a521e7e: Waiting
2022-05-18T03:44:09.0425483Z 96d3bccf6538: Pulling fs layer
2022-05-18T03:44:09.0425788Z 5526374c6ff0: Waiting
2022-05-18T03:44:09.0426097Z 107c321d19a2: Pulling fs layer
2022-05-18T03:44:09.0426409Z a820f3decf8c: Waiting
2022-05-18T03:44:09.0426718Z 3ccf25464642: Pulling fs layer
2022-05-18T03:44:09.0426981Z 96d3bccf6538: Waiting
2022-05-18T03:44:09.0427166Z fa3ebf277ea9: Pulling fs layer
2022-05-18T03:44:09.0427350Z 1935fef7619d: Pulling fs layer
2022-05-18T03:44:09.0427536Z 331c26ea1477: Pulling fs layer
2022-05-18T03:44:09.0427734Z e4cda0fc8673: Pulling fs layer
2022-05-18T03:44:09.0427922Z f5caab08bb2f: Pulling fs layer
2022-05-18T03:44:09.0428108Z 1935fef7619d: Waiting
2022-05-18T03:44:09.0428289Z 7eb329fe1ce6: Pulling fs layer
2022-05-18T03:44:09.0428457Z fa3ebf277ea9: Waiting
2022-05-18T03:44:09.0428639Z 68eaafdb90bf: Pulling fs layer
2022-05-18T03:44:09.0428822Z e4cda0fc8673: Waiting
2022-05-18T03:44:09.0428979Z 331c26ea1477: Waiting
2022-05-18T03:44:09.0429155Z 31f4af620806: Pulling fs layer
2022-05-18T03:44:09.0429340Z 8e1863a602b4: Pulling fs layer
2022-05-18T03:44:09.0429516Z a7e60a592bbb: Pulling fs layer
2022-05-18T03:44:09.0429709Z a6c8bd4e962b: Pulling fs layer
2022-05-18T03:44:09.0429898Z f861d57d1648: Pulling fs layer
2022-05-18T03:44:09.0430068Z f5caab08bb2f: Waiting
2022-05-18T03:44:09.0430253Z 4f44c93db860: Pulling fs layer
2022-05-18T03:44:09.0430433Z 68eaafdb90bf: Waiting
2022-05-18T03:44:09.0430591Z 31f4af620806: Waiting
2022-05-18T03:44:09.0430771Z dd5871d1c36a: Pulling fs layer
2022-05-18T03:44:09.0430964Z f97ca7006c1d: Pulling fs layer
2022-05-18T03:44:09.0431131Z a6c8bd4e962b: Waiting
2022-05-18T03:44:09.0431445Z f861d57d1648: Waiting
2022-05-18T03:44:09.0431654Z 5958f3f57ebb: Pulling fs layer
2022-05-18T03:44:09.0431836Z a7e60a592bbb: Waiting
2022-05-18T03:44:09.0432005Z cc896b7c763f: Pulling fs layer
2022-05-18T03:44:09.0432182Z 4f44c93db860: Waiting
2022-05-18T03:44:09.0432351Z f97ca7006c1d: Waiting
2022-05-18T03:44:09.0432507Z 8e1863a602b4: Waiting
2022-05-18T03:44:09.0432681Z 4d90629c62e5: Pulling fs layer
2022-05-18T03:44:09.0432857Z dd5871d1c36a: Waiting
2022-05-18T03:44:09.0433024Z 62d7f24cd0c0: Pulling fs layer
2022-05-18T03:44:09.0433204Z cc896b7c763f: Waiting
2022-05-18T03:44:09.0433384Z 556f4872c25a: Pulling fs layer
2022-05-18T03:44:09.0433550Z 5958f3f57ebb: Waiting
2022-05-18T03:44:09.0433728Z 8644ed03fabd: Pulling fs layer
2022-05-18T03:44:09.0433917Z 35b4fdbe4c47: Pulling fs layer
2022-05-18T03:44:09.0434085Z 556f4872c25a: Waiting
2022-05-18T03:44:09.0434263Z 00591ab8f97f: Pulling fs layer
2022-05-18T03:44:09.0434495Z 62d7f24cd0c0: Waiting
2022-05-18T03:44:09.0434653Z 8644ed03fabd: Waiting
2022-05-18T03:44:09.0434835Z 77e0e94faedd: Pulling fs layer
2022-05-18T03:44:09.0435117Z c529d886e6c7: Pulling fs layer
2022-05-18T03:44:09.0435298Z 150fbc850fcc: Pulling fs layer
2022-05-18T03:44:09.0435489Z 7b1ed51fd913: Pulling fs layer
2022-05-18T03:44:09.0435669Z 35b4fdbe4c47: Waiting
2022-05-18T03:44:09.0435826Z 77e0e94faedd: Waiting
2022-05-18T03:44:09.0435999Z 00591ab8f97f: Waiting
2022-05-18T03:44:09.0436179Z cee4d57d4aa5: Pulling fs layer
2022-05-18T03:44:09.0436353Z 55968b489a45: Pulling fs layer
2022-05-18T03:44:09.0436532Z c529d886e6c7: Waiting
2022-05-18T03:44:09.0436698Z 150fbc850fcc: Waiting
2022-05-18T03:44:09.0436854Z 7b1ed51fd913: Waiting
2022-05-18T03:44:09.0437032Z b967ae37c78c: Pulling fs layer
2022-05-18T03:44:09.0437205Z 55968b489a45: Waiting
2022-05-18T03:44:09.0437359Z cee4d57d4aa5: Waiting
2022-05-18T03:44:09.0437538Z fde30d6d4d43: Pulling fs layer
2022-05-18T03:44:09.0437732Z bd090ea062b4: Pulling fs layer
2022-05-18T03:44:09.0437911Z b967ae37c78c: Waiting
2022-05-18T03:44:09.0438068Z fde30d6d4d43: Waiting
2022-05-18T03:44:09.0438248Z 5e1909cb4b8e: Pulling fs layer
2022-05-18T03:44:09.0438438Z 0bec253a9cc3: Pulling fs layer
2022-05-18T03:44:09.0438617Z ef2fd506a049: Pulling fs layer
2022-05-18T03:44:09.0438809Z dfcb54fdca09: Pulling fs layer
2022-05-18T03:44:09.0438994Z 5e1909cb4b8e: Waiting
2022-05-18T03:44:09.0439193Z 64dbe1372310: Pulling fs layer
2022-05-18T03:44:09.0439367Z b159261a7639: Pulling fs layer
2022-05-18T03:44:09.0439551Z 29e393060867: Pulling fs layer
2022-05-18T03:44:09.0439725Z 0bec253a9cc3: Waiting
2022-05-18T03:44:09.0439891Z b578783d2730: Pulling fs layer
2022-05-18T03:44:09.0440065Z ef2fd506a049: Waiting
2022-05-18T03:44:09.0440230Z 64dbe1372310: Waiting
2022-05-18T03:44:09.0440379Z b159261a7639: Waiting
2022-05-18T03:44:09.0440539Z 29e393060867: Waiting
2022-05-18T03:44:09.1317283Z da8ef40b9eca: Verifying Checksum
2022-05-18T03:44:09.1317745Z da8ef40b9eca: Download complete
2022-05-18T03:44:09.1466392Z b51569e7c507: Verifying Checksum
2022-05-18T03:44:09.2100517Z fb15d46c38dc: Verifying Checksum
2022-05-18T03:44:09.2100744Z fb15d46c38dc: Download complete
2022-05-18T03:44:09.2272116Z 71269d108617: Download complete
2022-05-18T03:44:09.3092072Z 59eb2c098585: Verifying Checksum
2022-05-18T03:44:09.3092575Z 59eb2c098585: Download complete
2022-05-18T03:44:09.5703149Z 58690f9b18fc: Download complete
2022-05-18T03:44:09.6573893Z 52905a521e7e: Download complete
2022-05-18T03:44:09.7372298Z 5526374c6ff0: Verifying Checksum
2022-05-18T03:44:09.8227640Z a820f3decf8c: Verifying Checksum
2022-05-18T03:44:09.8228046Z a820f3decf8c: Download complete
2022-05-18T03:44:09.9053242Z 96d3bccf6538: Download complete
2022-05-18T03:44:10.0100267Z 107c321d19a2: Verifying Checksum
2022-05-18T03:44:10.0102317Z 107c321d19a2: Download complete
2022-05-18T03:44:10.0208735Z 69da8e453b83: Verifying Checksum
2022-05-18T03:44:10.0209139Z 69da8e453b83: Download complete
2022-05-18T03:44:10.0914216Z 3ccf25464642: Download complete
2022-05-18T03:44:10.1093422Z fa3ebf277ea9: Verifying Checksum
2022-05-18T03:44:10.1094403Z fa3ebf277ea9: Download complete
2022-05-18T03:44:10.1864668Z 1935fef7619d: Verifying Checksum
2022-05-18T03:44:10.1865044Z 1935fef7619d: Download complete
2022-05-18T03:44:10.2652482Z e4cda0fc8673: Verifying Checksum
2022-05-18T03:44:10.2653331Z e4cda0fc8673: Download complete
2022-05-18T03:44:10.3397034Z f5caab08bb2f: Verifying Checksum
2022-05-18T03:44:10.3397429Z f5caab08bb2f: Download complete
2022-05-18T03:44:10.4303250Z 7eb329fe1ce6: Verifying Checksum
2022-05-18T03:44:10.4303715Z 7eb329fe1ce6: Download complete
2022-05-18T03:44:10.5071849Z 68eaafdb90bf: Download complete
2022-05-18T03:44:10.7700532Z 58690f9b18fc: Pull complete
2022-05-18T03:44:10.8076373Z 31f4af620806: Verifying Checksum
2022-05-18T03:44:10.8077336Z 31f4af620806: Download complete
2022-05-18T03:44:10.8754199Z 8e1863a602b4: Verifying Checksum
2022-05-18T03:44:10.8754573Z 8e1863a602b4: Download complete
2022-05-18T03:44:10.8939343Z b51569e7c507: Pull complete
2022-05-18T03:44:11.0065019Z da8ef40b9eca: Pull complete
2022-05-18T03:44:11.1053943Z fb15d46c38dc: Pull complete
2022-05-18T03:44:11.2141710Z 71269d108617: Pull complete
2022-05-18T03:44:11.6321421Z 10537a6d3150: Verifying Checksum
2022-05-18T03:44:11.6321799Z 10537a6d3150: Download complete
2022-05-18T03:44:11.7099021Z a6c8bd4e962b: Verifying Checksum
2022-05-18T03:44:11.7099968Z a6c8bd4e962b: Download complete
2022-05-18T03:44:11.7103023Z a7e60a592bbb: Verifying Checksum
2022-05-18T03:44:11.7103253Z a7e60a592bbb: Download complete
2022-05-18T03:44:11.7872650Z f861d57d1648: Verifying Checksum
2022-05-18T03:44:11.7873041Z f861d57d1648: Download complete
2022-05-18T03:44:11.8191496Z 4f44c93db860: Download complete
2022-05-18T03:44:11.8908964Z dd5871d1c36a: Verifying Checksum
2022-05-18T03:44:11.8909445Z dd5871d1c36a: Download complete
2022-05-18T03:44:11.8989428Z f97ca7006c1d: Download complete
2022-05-18T03:44:11.9813279Z cc896b7c763f: Verifying Checksum
2022-05-18T03:44:11.9813711Z cc896b7c763f: Download complete
2022-05-18T03:44:12.0724984Z 4d90629c62e5: Download complete
2022-05-18T03:44:12.1628677Z 62d7f24cd0c0: Verifying Checksum
2022-05-18T03:44:12.1629060Z 62d7f24cd0c0: Download complete
2022-05-18T03:44:12.2352226Z 556f4872c25a: Download complete
2022-05-18T03:44:12.3074829Z 8644ed03fabd: Verifying Checksum
2022-05-18T03:44:12.3075300Z 8644ed03fabd: Download complete
2022-05-18T03:44:12.5951834Z 35b4fdbe4c47: Verifying Checksum
2022-05-18T03:44:12.5952112Z 35b4fdbe4c47: Download complete
2022-05-18T03:44:12.6737094Z 00591ab8f97f: Verifying Checksum
2022-05-18T03:44:12.6737717Z 00591ab8f97f: Download complete
2022-05-18T03:44:12.7628412Z 77e0e94faedd: Download complete
2022-05-18T03:44:12.8411220Z c529d886e6c7: Verifying Checksum
2022-05-18T03:44:12.8411552Z c529d886e6c7: Download complete
2022-05-18T03:44:12.9229013Z 150fbc850fcc: Verifying Checksum
2022-05-18T03:44:12.9229469Z 150fbc850fcc: Download complete
2022-05-18T03:44:12.9260289Z 5958f3f57ebb: Verifying Checksum
2022-05-18T03:44:12.9260675Z 5958f3f57ebb: Download complete
2022-05-18T03:44:12.9903272Z cee4d57d4aa5: Verifying Checksum
2022-05-18T03:44:12.9903790Z cee4d57d4aa5: Download complete
2022-05-18T03:44:12.9987695Z 7b1ed51fd913: Download complete
2022-05-18T03:44:13.0679632Z b967ae37c78c: Download complete
2022-05-18T03:44:13.1565326Z fde30d6d4d43: Verifying Checksum
2022-05-18T03:44:13.1565825Z fde30d6d4d43: Download complete
2022-05-18T03:44:13.2346024Z bd090ea062b4: Verifying Checksum
2022-05-18T03:44:13.2346337Z bd090ea062b4: Download complete
2022-05-18T03:44:13.3166470Z 5e1909cb4b8e: Verifying Checksum
2022-05-18T03:44:13.3166929Z 5e1909cb4b8e: Download complete
2022-05-18T03:44:13.4393137Z 55968b489a45: Download complete
2022-05-18T03:44:13.5204687Z ef2fd506a049: Download complete
2022-05-18T03:44:13.5493754Z 0bec253a9cc3: Verifying Checksum
2022-05-18T03:44:13.5494188Z 0bec253a9cc3: Download complete
2022-05-18T03:44:13.6362737Z 64dbe1372310: Verifying Checksum
2022-05-18T03:44:13.7311592Z 64dbe1372310: Download complete
2022-05-18T03:44:13.7312843Z b159261a7639: Download complete
2022-05-18T03:44:13.8077274Z 29e393060867: Download complete
2022-05-18T03:44:14.4090943Z b578783d2730: Verifying Checksum
2022-05-18T03:44:14.4091298Z b578783d2730: Download complete
2022-05-18T03:44:17.1154699Z 10537a6d3150: Pull complete
2022-05-18T03:44:17.1528468Z dfcb54fdca09: Verifying Checksum
2022-05-18T03:44:17.1528804Z dfcb54fdca09: Download complete
2022-05-18T03:44:17.3459876Z 59eb2c098585: Pull complete
2022-05-18T03:44:18.6023626Z 69da8e453b83: Pull complete
2022-05-18T03:44:18.8314670Z 52905a521e7e: Pull complete
2022-05-18T03:44:19.0371547Z 5526374c6ff0: Pull complete
2022-05-18T03:44:19.2834828Z a820f3decf8c: Pull complete
2022-05-18T03:44:19.5179584Z 96d3bccf6538: Pull complete
2022-05-18T03:44:19.7574401Z 107c321d19a2: Pull complete
2022-05-18T03:44:19.9819422Z 3ccf25464642: Pull complete
2022-05-18T03:44:20.2223793Z fa3ebf277ea9: Pull complete
2022-05-18T03:44:20.4568474Z 1935fef7619d: Pull complete
2022-05-18T03:44:22.4353615Z 331c26ea1477: Verifying Checksum
2022-05-18T03:44:22.4354027Z 331c26ea1477: Download complete
2022-05-18T03:44:42.7716801Z 331c26ea1477: Pull complete
2022-05-18T03:44:42.9076592Z e4cda0fc8673: Pull complete
2022-05-18T03:44:43.2171839Z f5caab08bb2f: Pull complete
2022-05-18T03:44:43.3772786Z 7eb329fe1ce6: Pull complete
2022-05-18T03:44:43.4968378Z 68eaafdb90bf: Pull complete
2022-05-18T03:44:43.7039025Z 31f4af620806: Pull complete
2022-05-18T03:44:43.8152186Z 8e1863a602b4: Pull complete
2022-05-18T03:44:45.4519127Z a7e60a592bbb: Pull complete
2022-05-18T03:44:45.5890129Z a6c8bd4e962b: Pull complete
2022-05-18T03:44:45.8025143Z f861d57d1648: Pull complete
2022-05-18T03:44:45.9934755Z 4f44c93db860: Pull complete
2022-05-18T03:44:46.1961027Z dd5871d1c36a: Pull complete
2022-05-18T03:44:46.4303242Z f97ca7006c1d: Pull complete
2022-05-18T03:44:48.4643430Z 5958f3f57ebb: Pull complete
2022-05-18T03:44:48.6300412Z cc896b7c763f: Pull complete
2022-05-18T03:44:48.7997999Z 4d90629c62e5: Pull complete
2022-05-18T03:44:49.0291567Z 62d7f24cd0c0: Pull complete
2022-05-18T03:44:49.2414106Z 556f4872c25a: Pull complete
2022-05-18T03:44:49.4506545Z 8644ed03fabd: Pull complete
2022-05-18T03:44:49.6470579Z 35b4fdbe4c47: Pull complete
2022-05-18T03:44:49.7971499Z 00591ab8f97f: Pull complete
2022-05-18T03:44:50.0028794Z 77e0e94faedd: Pull complete
2022-05-18T03:44:50.2313695Z c529d886e6c7: Pull complete
2022-05-18T03:44:50.4915189Z 150fbc850fcc: Pull complete
2022-05-18T03:44:50.6951727Z 7b1ed51fd913: Pull complete
2022-05-18T03:44:50.9147689Z cee4d57d4aa5: Pull complete
2022-05-18T03:44:52.0188965Z 55968b489a45: Pull complete
2022-05-18T03:44:52.2599870Z b967ae37c78c: Pull complete
2022-05-18T03:44:52.5164199Z fde30d6d4d43: Pull complete
2022-05-18T03:44:52.7624064Z bd090ea062b4: Pull complete
2022-05-18T03:44:52.9864253Z 5e1909cb4b8e: Pull complete
2022-05-18T03:44:53.4013428Z 0bec253a9cc3: Pull complete
2022-05-18T03:44:53.6317216Z ef2fd506a049: Pull complete
2022-05-18T03:44:57.9512280Z dfcb54fdca09: Pull complete
2022-05-18T03:44:58.0461777Z 64dbe1372310: Pull complete
2022-05-18T03:44:58.1294666Z b159261a7639: Pull complete
2022-05-18T03:44:58.2345954Z 29e393060867: Pull complete
2022-05-18T03:44:59.7833909Z b578783d2730: Pull complete
2022-05-18T03:44:59.7925621Z Digest: sha256:f0635c9b511406df7a81da39cad50a8f06640f1c0550e4f7a93071523ad2effb
2022-05-18T03:44:59.7956625Z Status: Downloaded newer image for 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-xenial-py3-clang7-onnx:6deab82db6a72ca54cd3e3322ee4f13864536734
2022-05-18T03:44:59.7982426Z 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-xenial-py3-clang7-onnx:6deab82db6a72ca54cd3e3322ee4f13864536734
2022-05-18T03:44:59.8049480Z Prepare all required actions
2022-05-18T03:44:59.8049718Z Getting action download info
2022-05-18T03:44:59.9533216Z Download action repository 'seemethere/download-artifact-s3@v3' (SHA:64048a097659c8ca71ceacbb3c01cee9ed6f1b05)
2022-05-18T03:45:00.0982400Z Download action repository 'actions/download-artifact@v2' (SHA:f023be2c48cc18debc3bacd34cb396e0295e2869)
2022-05-18T03:45:00.1946814Z ##[group]Run ./.github/actions/download-build-artifacts
2022-05-18T03:45:00.1947028Z with:
2022-05-18T03:45:00.1947312Z   name: linux-xenial-py3.7-clang7-onnx
2022-05-18T03:45:00.1947513Z env:
2022-05-18T03:45:00.1947653Z   IN_CI: 1
2022-05-18T03:45:00.1947814Z   IS_GHA: 1
2022-05-18T03:45:00.1947995Z   GIT_DEFAULT_BRANCH: master
2022-05-18T03:45:00.1948167Z ##[endgroup]
2022-05-18T03:45:00.1971004Z ##[group]Run seemethere/download-artifact-s3@v3
2022-05-18T03:45:00.1971218Z with:
2022-05-18T03:45:00.1971408Z   name: linux-xenial-py3.7-clang7-onnx
2022-05-18T03:45:00.1971714Z   s3-bucket: gha-artifacts
2022-05-18T03:45:00.1971921Z   region: us-east-1
2022-05-18T03:45:00.1972086Z env:
2022-05-18T03:45:00.1972225Z   IN_CI: 1
2022-05-18T03:45:00.1972383Z   IS_GHA: 1
2022-05-18T03:45:00.1972563Z   GIT_DEFAULT_BRANCH: master
2022-05-18T03:45:00.1972735Z ##[endgroup]
2022-05-18T03:45:00.6649808Z Found 1 objects with prefix pytorch/pytorch/2342799944/1/linux-xenial-py3.7-clang7-onnx/
2022-05-18T03:45:00.6650599Z Starting download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/artifacts.zip
2022-05-18T03:45:04.7268143Z Finished download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/artifacts.zip
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2022-05-18T03:45:04.7369204Z ##[group]Run unzip -o artifacts.zip
2022-05-18T03:45:04.7369435Z unzip -o artifacts.zip
2022-05-18T03:45:04.7380656Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2022-05-18T03:45:04.7380878Z env:
2022-05-18T03:45:04.7381034Z   IN_CI: 1
2022-05-18T03:45:04.7381194Z   IS_GHA: 1
2022-05-18T03:45:04.7381374Z   GIT_DEFAULT_BRANCH: master
2022-05-18T03:45:04.7381560Z ##[endgroup]
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2022-05-18T03:45:10.8202850Z   inflating: build/bin/test_lazy     
2022-05-18T03:45:10.8207123Z   inflating: build/bin/torch_shm_manager  
2022-05-18T03:45:10.9303696Z   inflating: build/bin/test_tensorexpr  
2022-05-18T03:45:11.0682488Z   inflating: build/bin/test_api      
2022-05-18T03:45:11.1204572Z   inflating: build/bin/test_jit      
2022-05-18T03:45:11.1205261Z   inflating: .pytorch-test-times.json  
2022-05-18T03:45:11.1225794Z ##[group]Run df -H
2022-05-18T03:45:11.1225973Z df -H
2022-05-18T03:45:11.1237551Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2022-05-18T03:45:11.1237766Z env:
2022-05-18T03:45:11.1237919Z   IN_CI: 1
2022-05-18T03:45:11.1238063Z   IS_GHA: 1
2022-05-18T03:45:11.1238240Z   GIT_DEFAULT_BRANCH: master
2022-05-18T03:45:11.1238423Z ##[endgroup]
2022-05-18T03:45:11.1293502Z Filesystem      Size  Used Avail Use% Mounted on
2022-05-18T03:45:11.1293952Z devtmpfs        8.2G     0  8.2G   0% /dev
2022-05-18T03:45:11.1294304Z tmpfs           8.2G     0  8.2G   0% /dev/shm
2022-05-18T03:45:11.1294662Z tmpfs           8.2G  467k  8.2G   1% /run
2022-05-18T03:45:11.1294895Z tmpfs           8.2G     0  8.2G   0% /sys/fs/cgroup
2022-05-18T03:45:11.1295113Z /dev/nvme0n1p1  162G   15G  148G   9% /
2022-05-18T03:45:11.1295433Z tmpfs           1.7G     0  1.7G   0% /run/user/0
2022-05-18T03:45:11.1329210Z ##[group]Run .github/scripts/parse_ref.py
2022-05-18T03:45:11.1329456Z .github/scripts/parse_ref.py
2022-05-18T03:45:11.1339939Z shell: /usr/bin/bash -e {0}
2022-05-18T03:45:11.1340107Z env:
2022-05-18T03:45:11.1340263Z   IN_CI: 1
2022-05-18T03:45:11.1340420Z   IS_GHA: 1
2022-05-18T03:45:11.1340586Z   GIT_DEFAULT_BRANCH: master
2022-05-18T03:45:11.1340769Z ##[endgroup]
2022-05-18T03:45:11.1601808Z ##[group]Run set -x
2022-05-18T03:45:11.1602053Z set -x
2022-05-18T03:45:11.1602217Z 
2022-05-18T03:45:11.1602410Z if [[ $TEST_CONFIG == 'multigpu' ]]; then
2022-05-18T03:45:11.1602653Z   TEST_COMMAND=.jenkins/pytorch/multigpu-test.sh
2022-05-18T03:45:11.1602910Z elif [[ $BUILD_ENVIRONMENT == *onnx* ]]; then
2022-05-18T03:45:11.1603147Z   TEST_COMMAND=.jenkins/caffe2/test.sh
2022-05-18T03:45:11.1603330Z else
2022-05-18T03:45:11.1603532Z   TEST_COMMAND=.jenkins/pytorch/test.sh
2022-05-18T03:45:11.1603732Z fi
2022-05-18T03:45:11.1603888Z 
2022-05-18T03:45:11.1604117Z COMMIT_MESSAGES=$(git cherry -v "origin/${GIT_DEFAULT_BRANCH:-master}")
2022-05-18T03:45:11.1604517Z export COMMIT_MESSAGES
2022-05-18T03:45:11.1604699Z 
2022-05-18T03:45:11.1604913Z # detached container should get cleaned up by teardown_ec2_linux
2022-05-18T03:45:11.1605234Z # TODO: Stop building test binaries as part of the build phase
2022-05-18T03:45:11.1605509Z # Used for GPU_FLAG since that doesn't play nice
2022-05-18T03:45:11.1605735Z # shellcheck disable=SC2086,SC2090
2022-05-18T03:45:11.1606002Z container_name=$(docker run \
2022-05-18T03:45:11.1606240Z   ${GPU_FLAG:-} \
2022-05-18T03:45:11.1606425Z   -e BUILD_ENVIRONMENT \
2022-05-18T03:45:11.1606621Z   -e PR_NUMBER \
2022-05-18T03:45:11.1606832Z   -e CUSTOM_TEST_ARTIFACT_BUILD_DIR \
2022-05-18T03:45:11.1607029Z   -e GITHUB_ACTIONS \
2022-05-18T03:45:11.1607211Z   -e IN_CI \
2022-05-18T03:45:11.1607388Z   -e IS_GHA \
2022-05-18T03:45:11.1607734Z   -e BRANCH \
2022-05-18T03:45:11.1607907Z   -e SHA1 \
2022-05-18T03:45:11.1608095Z   -e AWS_DEFAULT_REGION \
2022-05-18T03:45:11.1608291Z   -e IN_WHEEL_TEST \
2022-05-18T03:45:11.1608470Z   -e SHARD_NUMBER \
2022-05-18T03:45:11.1608657Z   -e JOB_BASE_NAME \
2022-05-18T03:45:11.1608844Z   -e TEST_CONFIG \
2022-05-18T03:45:11.1609020Z   -e NUM_TEST_SHARDS \
2022-05-18T03:45:11.1609206Z   -e PR_BODY \
2022-05-18T03:45:11.1609395Z   -e COMMIT_MESSAGES \
2022-05-18T03:45:11.1609591Z   -e PYTORCH_RETRY_TEST_CASES \
2022-05-18T03:45:11.1609790Z   -e PR_LABELS \
2022-05-18T03:45:11.1610000Z   -e MAX_JOBS="$(nproc --ignore=2)" \
2022-05-18T03:45:11.1610196Z   -e SCCACHE_BUCKET \
2022-05-18T03:45:11.1610382Z   -e XLA_CUDA \
2022-05-18T03:45:11.1610587Z   -e XLA_CLANG_CACHE_S3_BUCKET_NAME \
2022-05-18T03:45:11.1610912Z   --env-file="/tmp/github_env_${GITHUB_RUN_ID}" \
2022-05-18T03:45:11.1611147Z   --ulimit stack=10485760:83886080 \
2022-05-18T03:45:11.1611375Z   --security-opt seccomp=unconfined \
2022-05-18T03:45:11.1611601Z   --cap-add=SYS_PTRACE \
2022-05-18T03:45:11.1611781Z   --ipc=host \
2022-05-18T03:45:11.1611976Z   --shm-size="${SHM_SIZE}" \
2022-05-18T03:45:11.1612163Z   --tty \
2022-05-18T03:45:11.1612323Z   --detach \
2022-05-18T03:45:11.1612519Z   --name="${container_name}" \
2022-05-18T03:45:11.1612717Z   --user jenkins \
2022-05-18T03:45:11.1612939Z   -v "${GITHUB_WORKSPACE}:/var/lib/jenkins/workspace" \
2022-05-18T03:45:11.1613189Z   -w /var/lib/jenkins/workspace \
2022-05-18T03:45:11.1613393Z   "${DOCKER_IMAGE}"
2022-05-18T03:45:11.1613553Z )
2022-05-18T03:45:11.1613798Z docker exec -t "${container_name}" sh -c "pip install dist/*.whl && ${TEST_COMMAND}"
2022-05-18T03:45:11.1624462Z shell: /usr/bin/bash -e {0}
2022-05-18T03:45:11.1624629Z env:
2022-05-18T03:45:11.1624786Z   IN_CI: 1
2022-05-18T03:45:11.1624946Z   IS_GHA: 1
2022-05-18T03:45:11.1625115Z   GIT_DEFAULT_BRANCH: master
2022-05-18T03:45:11.1625429Z   BUILD_ENVIRONMENT: linux-xenial-py3.7-clang7-onnx
2022-05-18T03:45:11.1625655Z   PR_NUMBER: 
2022-05-18T03:45:11.1625824Z   BRANCH: master
2022-05-18T03:45:11.1626035Z   CUSTOM_TEST_ARTIFACT_BUILD_DIR: build/custom_test_artifacts
2022-05-18T03:45:11.1626287Z   SHA1: 3b2375291aab7b48442f2e6fb1ef66cebc761e24
2022-05-18T03:45:11.1626505Z   PYTORCH_RETRY_TEST_CASES: 1
2022-05-18T03:45:11.1626736Z   JOB_BASE_NAME: linux-xenial-py3.7-clang7-onnx-test
2022-05-18T03:45:11.1626966Z   TEST_CONFIG: default
2022-05-18T03:45:11.1627144Z   SHARD_NUMBER: 2
2022-05-18T03:45:11.1627303Z   NUM_TEST_SHARDS: 2
2022-05-18T03:45:11.1627477Z   PR_BODY: 
2022-05-18T03:45:11.1627796Z   SCCACHE_BUCKET: ossci-compiler-cache-circleci-v2
2022-05-18T03:45:11.1628014Z   SHM_SIZE: 1g
2022-05-18T03:45:11.1628365Z   DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-xenial-py3-clang7-onnx:6deab82db6a72ca54cd3e3322ee4f13864536734
2022-05-18T03:45:11.1628703Z   XLA_CUDA: 
2022-05-18T03:45:11.1629039Z   XLA_CLANG_CACHE_S3_BUCKET_NAME: ossci-compiler-clang-cache-circleci-xla
2022-05-18T03:45:11.1629287Z ##[endgroup]
2022-05-18T03:45:11.1652202Z + [[ default == \m\u\l\t\i\g\p\u ]]
2022-05-18T03:45:11.1652841Z + [[ linux-xenial-py3.7-clang7-onnx == *onnx* ]]
2022-05-18T03:45:11.1653144Z + TEST_COMMAND=.jenkins/caffe2/test.sh
2022-05-18T03:45:11.1655343Z ++ git cherry -v origin/master
2022-05-18T03:45:11.1679396Z + COMMIT_MESSAGES=
2022-05-18T03:45:11.1679752Z + export COMMIT_MESSAGES
2022-05-18T03:45:11.1686664Z +++ nproc --ignore=2
2022-05-18T03:45:11.1724672Z ++ docker run -e BUILD_ENVIRONMENT -e PR_NUMBER -e CUSTOM_TEST_ARTIFACT_BUILD_DIR -e GITHUB_ACTIONS -e IN_CI -e IS_GHA -e BRANCH -e SHA1 -e AWS_DEFAULT_REGION -e IN_WHEEL_TEST -e SHARD_NUMBER -e JOB_BASE_NAME -e TEST_CONFIG -e NUM_TEST_SHARDS -e PR_BODY -e COMMIT_MESSAGES -e PYTORCH_RETRY_TEST_CASES -e PR_LABELS -e MAX_JOBS=6 -e SCCACHE_BUCKET -e XLA_CUDA -e XLA_CLANG_CACHE_S3_BUCKET_NAME --env-file=/tmp/github_env_2342799944 --ulimit stack=10485760:83886080 --security-opt seccomp=unconfined --cap-add=SYS_PTRACE --ipc=host --shm-size=1g --tty --detach --name= --user jenkins -v /home/ec2-user/actions-runner/_work/pytorch/pytorch:/var/lib/jenkins/workspace -w /var/lib/jenkins/workspace 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-xenial-py3-clang7-onnx:6deab82db6a72ca54cd3e3322ee4f13864536734
2022-05-18T03:45:22.3463038Z + container_name=c9d56877cbc4a8acce63a7496a0596d93cdcb74ec5318b0cbbccbf401a1029e6
2022-05-18T03:45:22.3464068Z + docker exec -t c9d56877cbc4a8acce63a7496a0596d93cdcb74ec5318b0cbbccbf401a1029e6 sh -c 'pip install dist/*.whl && .jenkins/caffe2/test.sh'
2022-05-18T03:45:22.7079594Z Processing ./dist/torch-1.12.0a0+git3b23752-cp37-cp37m-linux_x86_64.whl
2022-05-18T03:45:22.7830804Z Requirement already satisfied: typing-extensions in /opt/conda/lib/python3.7/site-packages (from torch==1.12.0a0+git3b23752) (4.1.1)
2022-05-18T03:45:23.1484970Z Installing collected packages: torch
2022-05-18T03:45:29.5697205Z Successfully installed torch-1.12.0a0+git3b23752
2022-05-18T03:45:29.6286825Z ++++ dirname .jenkins/caffe2/common.sh
2022-05-18T03:45:29.6293571Z +++ cd .jenkins/caffe2
2022-05-18T03:45:29.6293890Z +++ pwd
2022-05-18T03:45:29.6295452Z ++ LOCAL_DIR=/var/lib/jenkins/workspace/.jenkins/caffe2
2022-05-18T03:45:29.6298791Z +++ cd /var/lib/jenkins/workspace/.jenkins/caffe2/../..
2022-05-18T03:45:29.6299058Z +++ pwd
2022-05-18T03:45:29.6300474Z ++ ROOT_DIR=/var/lib/jenkins/workspace
2022-05-18T03:45:29.6301055Z ++ TEST_DIR=/var/lib/jenkins/workspace/test
2022-05-18T03:45:29.6301721Z ++ gtest_reports_dir=/var/lib/jenkins/workspace/test/test-reports/cpp
2022-05-18T03:45:29.6302353Z ++ pytest_reports_dir=/var/lib/jenkins/workspace/test/test-reports/python
2022-05-18T03:45:29.6304760Z +++ which python
2022-05-18T03:45:29.6314011Z ++ PYTHON=/opt/conda/bin/python
2022-05-18T03:45:29.6314763Z ++ [[ linux-xenial-py3.7-clang7-onnx =~ py((2|3)\.?[0-9]?\.?[0-9]?) ]]
2022-05-18T03:45:29.6318352Z +++ which python3.7
2022-05-18T03:45:29.6326791Z ++ PYTHON=/opt/conda/bin/python3.7
2022-05-18T03:45:29.6327257Z ++ [[ linux-xenial-py3.7-clang7-onnx == *rocm* ]]
2022-05-18T03:45:29.6327490Z ++ INSTALL_PREFIX=/usr/local/caffe2
2022-05-18T03:45:29.6327801Z ++ mkdir -p /var/lib/jenkins/workspace/test/test-reports/cpp
2022-05-18T03:45:29.6337198Z ++ mkdir -p /var/lib/jenkins/workspace/test/test-reports/python
2022-05-18T03:45:29.6344169Z ++ mkdir -p /usr/local/caffe2
2022-05-18T03:45:29.6352625Z + [[ linux-xenial-py3.7-clang7-onnx == *onnx* ]]
2022-05-18T03:45:29.6352956Z + pip install click mock tabulate networkx==2.0
2022-05-18T03:45:29.9130951Z Requirement already satisfied: click in /opt/conda/lib/python3.7/site-packages (8.1.3)
2022-05-18T03:45:29.9642993Z Collecting mock
2022-05-18T03:45:29.9853804Z   Downloading mock-4.0.3-py3-none-any.whl (28 kB)
2022-05-18T03:45:30.0094982Z Collecting tabulate
2022-05-18T03:45:30.0133123Z   Downloading tabulate-0.8.9-py3-none-any.whl (25 kB)
2022-05-18T03:45:30.0685702Z Collecting networkx==2.0
2022-05-18T03:45:30.0827302Z   Downloading networkx-2.0.zip (1.5 MB)
2022-05-18T03:45:30.0829743Z [?25l
2022-05-18T03:45:30.0833596Z      |▏                               | 10 kB 48.0 MB/s eta 0:00:01
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2022-05-18T03:45:31.4167251Z [?25hRequirement already satisfied: decorator>=4.1.0 in /opt/conda/lib/python3.7/site-packages (from networkx==2.0) (5.1.1)
2022-05-18T03:45:31.4204761Z Requirement already satisfied: importlib-metadata in /opt/conda/lib/python3.7/site-packages (from click) (4.11.3)
2022-05-18T03:45:31.4416606Z Requirement already satisfied: typing-extensions>=3.6.4 in /opt/conda/lib/python3.7/site-packages (from importlib-metadata->click) (4.1.1)
2022-05-18T03:45:31.4424992Z Requirement already satisfied: zipp>=0.5 in /opt/conda/lib/python3.7/site-packages (from importlib-metadata->click) (3.8.0)
2022-05-18T03:45:31.4524053Z Building wheels for collected packages: networkx
2022-05-18T03:45:33.2721813Z   Building wheel for networkx (setup.py) ... [?25l- \ | / - \ | done
2022-05-18T03:45:33.2763874Z [?25h  Created wheel for networkx: filename=networkx-2.0-py2.py3-none-any.whl size=1389993 sha256=62186c204bba6dcbaceb4a6d997e1bdd3ea6720ec2c16690f4ec5e1d23877ad4
2022-05-18T03:45:33.2764392Z   Stored in directory: /var/lib/jenkins/.cache/pip/wheels/a8/51/49/73c72486a5600e541e926da7f6ddf3c9c5c2cb8470ce2275bc
2022-05-18T03:45:33.2816565Z Successfully built networkx
2022-05-18T03:45:33.5841013Z Installing collected packages: tabulate, networkx, mock
2022-05-18T03:45:33.6040747Z   Attempting uninstall: networkx
2022-05-18T03:45:33.6043844Z     Found existing installation: networkx 2.6.3
2022-05-18T03:45:33.7481508Z     Uninstalling networkx-2.6.3:
2022-05-18T03:45:33.9126621Z       Successfully uninstalled networkx-2.6.3
2022-05-18T03:45:34.5475114Z ERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.
2022-05-18T03:45:34.5475680Z scikit-image 0.19.2 requires networkx>=2.2, but you have networkx 2.0 which is incompatible.
2022-05-18T03:45:34.5476071Z Successfully installed mock-4.0.3 networkx-2.0 tabulate-0.8.9
2022-05-18T03:45:34.6186067Z + pip -q install --user file:///var/lib/jenkins/workspace/third_party/onnx#egg=onnx
2022-05-18T03:45:34.8996061Z   DEPRECATION: A future pip version will change local packages to be built in-place without first copying to a temporary directory. We recommend you use --use-feature=in-tree-build to test your packages with this new behavior before it becomes the default.
2022-05-18T03:45:34.8996970Z    pip 21.3 will remove support for this functionality. You can find discussion regarding this at https://github.com/pypa/pip/issues/7555.
2022-05-18T03:46:31.2408061Z   WARNING: The scripts backend-test-tools, check-model and check-node are installed in '/var/lib/jenkins/.local/bin' which is not on PATH.
2022-05-18T03:46:31.2408793Z   Consider adding this directory to PATH or, if you prefer to suppress this warning, use --no-warn-script-location.
2022-05-18T03:46:31.6114679Z + [[ linux-xenial-py3.7-clang7-onnx == *-android* ]]
2022-05-18T03:46:31.6115117Z + [[ linux-xenial-py3.7-clang7-onnx == *-rocm* ]]
2022-05-18T03:46:31.6115433Z + [[ linux-xenial-py3.7-clang7-onnx == *rocm* ]]
2022-05-18T03:46:31.6115795Z + [[ linux-xenial-py3.7-clang7-onnx == *cmake* ]]
2022-05-18T03:46:31.6122088Z ++++ cd /usr
2022-05-18T03:46:31.6122602Z ++++ /opt/conda/bin/python3.7 -c 'import os; import caffe2; print(os.path.realpath(caffe2.__file__))'
2022-05-18T03:46:32.2293149Z +++ dirname /opt/conda/lib/python3.7/site-packages/caffe2/__init__.py
2022-05-18T03:46:32.2300178Z ++ dirname /opt/conda/lib/python3.7/site-packages/caffe2
2022-05-18T03:46:32.2305073Z + python_installation=/opt/conda/lib/python3.7/site-packages
2022-05-18T03:46:32.2305692Z + caffe2_pypath=/opt/conda/lib/python3.7/site-packages/caffe2
2022-05-18T03:46:32.2306313Z + cpp_test_dir=/opt/conda/lib/python3.7/site-packages/torch/test
2022-05-18T03:46:32.2306908Z + ld_library_path=/opt/conda/lib/python3.7/site-packages/torch/lib
2022-05-18T03:46:32.2307301Z + [[ 2 == \1 ]]
2022-05-18T03:46:32.2307703Z + [[ linux-xenial-py3.7-clang7-onnx == *cmake* ]]
2022-05-18T03:46:32.2310832Z ++ which pip
2022-05-18T03:46:32.2316933Z + PIP=/opt/conda/bin/pip
2022-05-18T03:46:32.2319712Z ++ stat --format %U /opt/conda/bin/pip
2022-05-18T03:46:32.2328937Z + PIP_USER=jenkins
2022-05-18T03:46:32.2335159Z ++ id -u -n
2022-05-18T03:46:32.2340650Z + CURRENT_USER=jenkins
2022-05-18T03:46:32.2340909Z + [[ jenkins = root ]]
2022-05-18T03:46:32.2341380Z + pip -q uninstall -y hypothesis
2022-05-18T03:46:32.5866547Z + pip -q uninstall -y coverage
2022-05-18T03:46:32.8659425Z WARNING: Skipping coverage as it is not installed.
2022-05-18T03:46:32.9036258Z + pip -q install attrs==18.1.0 -f https://s3.amazonaws.com/ossci-linux/wheels/attrs-18.1.0-py2.py3-none-any.whl
2022-05-18T03:46:33.2220606Z WARNING: Skipping page https://s3.amazonaws.com/ossci-linux/wheels/attrs-18.1.0-py2.py3-none-any.whl because the HEAD request got Content-Type: binary/octet-stream.The only supported Content-Type is text/html
2022-05-18T03:46:33.6529201Z ERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.
2022-05-18T03:46:33.6529738Z pytest 7.1.2 requires attrs>=19.2.0, but you have attrs 18.1.0 which is incompatible.
2022-05-18T03:46:33.7007579Z + pip -q install coverage==4.5.1 -f https://s3.amazonaws.com/ossci-linux/wheels/coverage-4.5.1-cp36-cp36m-macosx_10_12_x86_64.whl
2022-05-18T03:46:34.0221598Z WARNING: Skipping page https://s3.amazonaws.com/ossci-linux/wheels/coverage-4.5.1-cp36-cp36m-macosx_10_12_x86_64.whl because the HEAD request got Content-Type: binary/octet-stream.The only supported Content-Type is text/html
2022-05-18T03:46:34.9259208Z + pip -q install hypothesis==3.44.6 -f https://s3.amazonaws.com/ossci-linux/wheels/hypothesis-3.44.6-py3-none-any.whl
2022-05-18T03:46:35.2530726Z WARNING: Skipping page https://s3.amazonaws.com/ossci-linux/wheels/hypothesis-3.44.6-py3-none-any.whl because the HEAD request got Content-Type: binary/octet-stream.The only supported Content-Type is text/html
2022-05-18T03:46:36.4200291Z + EXTRA_TESTS=()
2022-05-18T03:46:36.4201039Z + [[ linux-xenial-py3.7-clang7-onnx == *-cuda* ]]
2022-05-18T03:46:36.4201546Z + [[ linux-xenial-py3.7-clang7-onnx == *-rocm* ]]
2022-05-18T03:46:36.4201781Z + rocm_ignore_test=()
2022-05-18T03:46:36.4202053Z + [[ linux-xenial-py3.7-clang7-onnx == *-rocm* ]]
2022-05-18T03:46:36.4202400Z + echo 'Running Python tests..'
2022-05-18T03:46:36.4202711Z Running Python tests..
2022-05-18T03:46:36.4203005Z + for loc in '"en_US.utf8"' '"C.UTF-8"'
2022-05-18T03:46:36.4203373Z + locale -a
2022-05-18T03:46:36.4204195Z + grep en_US.utf8
2022-05-18T03:46:36.4212733Z + for loc in '"en_US.utf8"' '"C.UTF-8"'
2022-05-18T03:46:36.4215327Z + locale -a
2022-05-18T03:46:36.4215967Z + grep C.UTF-8
2022-05-18T03:46:36.4224253Z + export LC_ALL=C.UTF-8
2022-05-18T03:46:36.4224485Z + LC_ALL=C.UTF-8
2022-05-18T03:46:36.4226134Z + export LANG=C.UTF-8
2022-05-18T03:46:36.4226418Z + LANG=C.UTF-8
2022-05-18T03:46:36.4226672Z + break
2022-05-18T03:46:36.4227289Z + export DNNL_MAX_CPU_ISA=AVX2
2022-05-18T03:46:36.4227599Z + DNNL_MAX_CPU_ISA=AVX2
2022-05-18T03:46:36.4227976Z + [[ 2 == \1 ]]
2022-05-18T03:46:36.4228443Z + [[ linux-xenial-py3.7-clang7-onnx == *onnx* ]]
2022-05-18T03:46:36.4229212Z + pip install -q --user git+https://github.com/pytorch/vision.git@8a2dc6f22ac4389ccba8859aa1e1cb14f1ee53db
2022-05-18T03:49:41.1875246Z + pip install -q --user ninja flatbuffers==2.0 numpy==1.21.5 onnxruntime==1.11.0
2022-05-18T03:49:44.0704218Z   WARNING: The scripts f2py, f2py3 and f2py3.7 are installed in '/var/lib/jenkins/.local/bin' which is not on PATH.
2022-05-18T03:49:44.0704747Z   Consider adding this directory to PATH or, if you prefer to suppress this warning, use --no-warn-script-location.
2022-05-18T03:49:44.3469570Z   WARNING: The script onnxruntime_test is installed in '/var/lib/jenkins/.local/bin' which is not on PATH.
2022-05-18T03:49:44.3470243Z   Consider adding this directory to PATH or, if you prefer to suppress this warning, use --no-warn-script-location.
2022-05-18T03:49:44.3594349Z   WARNING: The script ninja is installed in '/var/lib/jenkins/.local/bin' which is not on PATH.
2022-05-18T03:49:44.3594840Z   Consider adding this directory to PATH or, if you prefer to suppress this warning, use --no-warn-script-location.
2022-05-18T03:49:44.3640989Z ERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.
2022-05-18T03:49:44.3641538Z scikit-image 0.19.2 requires networkx>=2.2, but you have networkx 2.0 which is incompatible.
2022-05-18T03:49:44.4239224Z + pip uninstall -q --yes numba
2022-05-18T03:49:45.1206384Z + export PATH=/var/lib/jenkins/.local/bin:/opt/cache/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
2022-05-18T03:49:45.1206867Z + PATH=/var/lib/jenkins/.local/bin:/opt/cache/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
2022-05-18T03:49:45.1207201Z + /var/lib/jenkins/workspace/scripts/onnx/test.sh
2022-05-18T03:49:45.1219142Z + UNKNOWN=()
2022-05-18T03:49:45.1219329Z + PARALLEL=0
2022-05-18T03:49:45.1221415Z + [[ 0 -gt 0 ]]
2022-05-18T03:49:45.1221718Z + set --
2022-05-18T03:49:45.1221968Z + [[ 0 == 1 ]]
2022-05-18T03:49:45.1222315Z + pip install pytest scipy hypothesis
2022-05-18T03:49:45.4053484Z Requirement already satisfied: pytest in /opt/conda/lib/python3.7/site-packages (7.1.2)
2022-05-18T03:49:45.4059395Z Requirement already satisfied: scipy in /opt/conda/lib/python3.7/site-packages (1.6.3)
2022-05-18T03:49:45.4066802Z Requirement already satisfied: hypothesis in /opt/conda/lib/python3.7/site-packages (3.44.6)
2022-05-18T03:49:45.4180028Z Requirement already satisfied: tomli>=1.0.0 in /opt/conda/lib/python3.7/site-packages (from pytest) (2.0.1)
2022-05-18T03:49:45.4189641Z Requirement already satisfied: importlib-metadata>=0.12 in /opt/conda/lib/python3.7/site-packages (from pytest) (4.11.3)
2022-05-18T03:49:45.4202673Z Requirement already satisfied: py>=1.8.2 in /opt/conda/lib/python3.7/site-packages (from pytest) (1.11.0)
2022-05-18T03:49:45.4832558Z Collecting attrs>=19.2.0
2022-05-18T03:49:45.4854350Z   Using cached attrs-21.4.0-py2.py3-none-any.whl (60 kB)
2022-05-18T03:49:45.4880305Z Requirement already satisfied: pluggy<2.0,>=0.12 in /opt/conda/lib/python3.7/site-packages (from pytest) (1.0.0)
2022-05-18T03:49:45.4885749Z Requirement already satisfied: iniconfig in /opt/conda/lib/python3.7/site-packages (from pytest) (1.1.1)
2022-05-18T03:49:45.4892770Z Requirement already satisfied: packaging in /opt/conda/lib/python3.7/site-packages (from pytest) (21.3)
2022-05-18T03:49:45.4911901Z Requirement already satisfied: numpy<1.23.0,>=1.16.5 in /var/lib/jenkins/.local/lib/python3.7/site-packages (from scipy) (1.21.5)
2022-05-18T03:49:45.5050289Z Requirement already satisfied: coverage in /opt/conda/lib/python3.7/site-packages (from hypothesis) (4.5.1)
2022-05-18T03:49:45.5436787Z Requirement already satisfied: typing-extensions>=3.6.4 in /opt/conda/lib/python3.7/site-packages (from importlib-metadata>=0.12->pytest) (4.1.1)
2022-05-18T03:49:45.5445304Z Requirement already satisfied: zipp>=0.5 in /opt/conda/lib/python3.7/site-packages (from importlib-metadata>=0.12->pytest) (3.8.0)
2022-05-18T03:49:45.5656195Z Requirement already satisfied: pyparsing!=3.0.5,>=2.0.2 in /opt/conda/lib/python3.7/site-packages (from packaging->pytest) (3.0.9)
2022-05-18T03:49:45.8483004Z Installing collected packages: attrs
2022-05-18T03:49:45.8483250Z   Attempting uninstall: attrs
2022-05-18T03:49:45.8487470Z     Found existing installation: attrs 18.1.0
2022-05-18T03:49:45.8512301Z     Uninstalling attrs-18.1.0:
2022-05-18T03:49:45.8518324Z       Successfully uninstalled attrs-18.1.0
2022-05-18T03:49:45.8996322Z Successfully installed attrs-21.4.0
2022-05-18T03:49:45.9479948Z + pip install pytest-cov
2022-05-18T03:49:46.2844303Z Collecting pytest-cov
2022-05-18T03:49:46.3002088Z   Downloading pytest_cov-3.0.0-py3-none-any.whl (20 kB)
2022-05-18T03:49:46.7466906Z Collecting coverage[toml]>=5.2.1
2022-05-18T03:49:46.7524275Z   Downloading coverage-6.3.3-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (207 kB)
2022-05-18T03:49:46.7527720Z [?25l
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2022-05-18T03:49:46.7617985Z [?25hRequirement already satisfied: pytest>=4.6 in /opt/conda/lib/python3.7/site-packages (from pytest-cov) (7.1.2)
2022-05-18T03:49:46.7646587Z Requirement already satisfied: tomli in /opt/conda/lib/python3.7/site-packages (from coverage[toml]>=5.2.1->pytest-cov) (2.0.1)
2022-05-18T03:49:46.7752759Z Requirement already satisfied: iniconfig in /opt/conda/lib/python3.7/site-packages (from pytest>=4.6->pytest-cov) (1.1.1)
2022-05-18T03:49:46.7764342Z Requirement already satisfied: py>=1.8.2 in /opt/conda/lib/python3.7/site-packages (from pytest>=4.6->pytest-cov) (1.11.0)
2022-05-18T03:49:46.7770691Z Requirement already satisfied: packaging in /opt/conda/lib/python3.7/site-packages (from pytest>=4.6->pytest-cov) (21.3)
2022-05-18T03:49:46.7783498Z Requirement already satisfied: pluggy<2.0,>=0.12 in /opt/conda/lib/python3.7/site-packages (from pytest>=4.6->pytest-cov) (1.0.0)
2022-05-18T03:49:46.7792813Z Requirement already satisfied: importlib-metadata>=0.12 in /opt/conda/lib/python3.7/site-packages (from pytest>=4.6->pytest-cov) (4.11.3)
2022-05-18T03:49:46.7802423Z Requirement already satisfied: attrs>=19.2.0 in /opt/conda/lib/python3.7/site-packages (from pytest>=4.6->pytest-cov) (21.4.0)
2022-05-18T03:49:46.8164901Z Requirement already satisfied: zipp>=0.5 in /opt/conda/lib/python3.7/site-packages (from importlib-metadata>=0.12->pytest>=4.6->pytest-cov) (3.8.0)
2022-05-18T03:49:46.8176411Z Requirement already satisfied: typing-extensions>=3.6.4 in /opt/conda/lib/python3.7/site-packages (from importlib-metadata>=0.12->pytest>=4.6->pytest-cov) (4.1.1)
2022-05-18T03:49:46.8372933Z Requirement already satisfied: pyparsing!=3.0.5,>=2.0.2 in /opt/conda/lib/python3.7/site-packages (from packaging->pytest>=4.6->pytest-cov) (3.0.9)
2022-05-18T03:49:47.1119743Z Installing collected packages: coverage, pytest-cov
2022-05-18T03:49:47.1120245Z   Attempting uninstall: coverage
2022-05-18T03:49:47.1124946Z     Found existing installation: coverage 4.5.1
2022-05-18T03:49:47.1208106Z     Uninstalling coverage-4.5.1:
2022-05-18T03:49:47.1225797Z       Successfully uninstalled coverage-4.5.1
2022-05-18T03:49:47.2180286Z Successfully installed coverage-6.3.3 pytest-cov-3.0.0
2022-05-18T03:49:47.2743103Z + pip install -e tools/coverage_plugins_package
2022-05-18T03:49:47.5565758Z Obtaining file:///var/lib/jenkins/workspace/tools/coverage_plugins_package
2022-05-18T03:49:49.8423205Z   Installing build dependencies ... [?25l- \ | done
2022-05-18T03:49:50.9678106Z [?25h  Getting requirements to build wheel ... [?25l- \ done
2022-05-18T03:49:52.1606201Z [?25h    Preparing wheel metadata ... [?25l- \ | done
2022-05-18T03:49:52.4959621Z [?25hInstalling collected packages: coverage-plugins
2022-05-18T03:49:52.4966137Z   Running setup.py develop for coverage-plugins
2022-05-18T03:49:54.0492306Z Successfully installed coverage-plugins-0.0.1
2022-05-18T03:49:54.1011615Z ++ python -c 'import os; import sys; print(os.path.realpath(sys.argv[1]))' /var/lib/jenkins/workspace/scripts/onnx/test.sh
2022-05-18T03:49:54.1168257Z + script_path=/var/lib/jenkins/workspace/scripts/onnx/test.sh
2022-05-18T03:49:54.1175870Z ++++ dirname /var/lib/jenkins/workspace/scripts/onnx/test.sh
2022-05-18T03:49:54.1185942Z +++ dirname /var/lib/jenkins/workspace/scripts/onnx
2022-05-18T03:49:54.1194889Z ++ dirname /var/lib/jenkins/workspace/scripts
2022-05-18T03:49:54.1201547Z + top_dir=/var/lib/jenkins/workspace
2022-05-18T03:49:54.1202264Z + test_paths=("$top_dir/test/onnx")
2022-05-18T03:49:54.1202464Z + args=()
2022-05-18T03:49:54.1202688Z + args+=("-v")
2022-05-18T03:49:54.1206172Z + args+=("--cov")
2022-05-18T03:49:54.1206608Z + args+=("--cov-report")
2022-05-18T03:49:54.1207013Z + args+=("xml:test/coverage.xml")
2022-05-18T03:49:54.1207311Z + args+=("--cov-append")
2022-05-18T03:49:54.1207611Z + [[ 0 == 1 ]]
2022-05-18T03:49:54.1207914Z + [[ 2 == \1 ]]
2022-05-18T03:49:54.1208212Z + [[ 2 == \2 ]]
2022-05-18T03:49:54.1208410Z ++ seq 10 16
2022-05-18T03:49:54.1213405Z + for i in '$(seq 10 16)'
2022-05-18T03:49:54.1225392Z + pytest -v --cov --cov-report xml:test/coverage.xml --cov-append /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10
2022-05-18T03:49:54.4873632Z ============================= test session starts ==============================
2022-05-18T03:49:54.4874039Z platform linux -- Python 3.7.13, pytest-7.1.2, pluggy-1.0.0 -- /opt/conda/bin/python
2022-05-18T03:49:54.4942427Z cachedir: .pytest_cache
2022-05-18T03:49:54.4942746Z rootdir: /var/lib/jenkins/workspace, configfile: pytest.ini
2022-05-18T03:49:54.4943190Z plugins: hypothesis-3.44.6, cov-3.0.0
2022-05-18T03:49:55.6432850Z collecting ... 
2022-05-18T03:49:55.7915990Z collecting 0 items                                                             
2022-05-18T03:49:55.7916382Z collected 805 items                                                            
2022-05-18T03:49:55.7925048Z 
2022-05-18T03:49:55.9229013Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test__dim_arange PASSED [  0%]
2022-05-18T03:49:55.9328883Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_add_inplace Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'x.1'. This changes graph semantics.
2022-05-18T03:49:55.9465109Z Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: '0'. This changes graph semantics.
2022-05-18T03:49:55.9606034Z PASSED [  0%]
2022-05-18T03:49:55.9994959Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_addcmul PASSED [  0%]
2022-05-18T03:49:56.0776323Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_all PASSED [  0%]
2022-05-18T03:49:56.0801190Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_all_optional_default_none SKIPPED [  0%]
2022-05-18T03:49:56.0823835Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_all_optional_default_tensor SKIPPED [  0%]
2022-05-18T03:49:56.0845853Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_all_optional_default_tensor_script SKIPPED [  0%]
2022-05-18T03:49:56.1277134Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_amax_amin PASSED [  0%]
2022-05-18T03:49:56.1846675Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_aminmax PASSED [  1%]
2022-05-18T03:49:56.2332635Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_and_or_xor PASSED [  1%]
2022-05-18T03:49:56.3511834Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_any PASSED [  1%]
2022-05-18T03:49:56.4833651Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_arange_dynamic PASSED [  1%]
2022-05-18T03:49:56.5833722Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_arange_end PASSED [  1%]
2022-05-18T03:49:56.5857414Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_arange_end_notype SKIPPED [  1%]
2022-05-18T03:49:56.5879534Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_arange_no_type SKIPPED [  1%]
2022-05-18T03:49:56.5900994Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_arange_out SKIPPED [  1%]
2022-05-18T03:49:56.7092712Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_arange_start_end PASSED [  2%]
2022-05-18T03:49:56.7115145Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_arange_start_end_notype SKIPPED [  2%]
2022-05-18T03:49:56.8519068Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_arange_start_end_step PASSED [  2%]
2022-05-18T03:49:56.8542566Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_arange_start_end_step_notype SKIPPED [  2%]
2022-05-18T03:49:56.8564379Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_arange_start_out SKIPPED [  2%]
2022-05-18T03:49:57.1977352Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_arange_with_floats PASSED [  2%]
2022-05-18T03:49:57.3866851Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_arange_with_floats_out PASSED [  2%]
2022-05-18T03:49:57.5265610Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_arange_with_floats_override PASSED [  2%]
2022-05-18T03:49:57.5870493Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_argmin_argmax PASSED [  3%]
2022-05-18T03:49:57.5893322Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_argmin_argmax_select_last_index SKIPPED [  3%]
2022-05-18T03:49:57.6811725Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_arithmetic PASSED [  3%]
2022-05-18T03:49:58.1883427Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_arithmeticOps_with_low_precision PASSED [  3%]
2022-05-18T03:49:58.2513374Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_arithmetic_infer_dtype PASSED [  3%]
2022-05-18T03:49:58.3542129Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_arithmetic_prim_bool PASSED [  3%]
2022-05-18T03:49:58.5056189Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_arithmetic_prim_float PASSED [  3%]
2022-05-18T03:49:58.6447585Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_arithmetic_prim_long PASSED [  3%]
2022-05-18T03:49:58.7065650Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_as_strided PASSED [  4%]
2022-05-18T03:49:58.7088519Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_auto_grad SKIPPED [  4%]
2022-05-18T03:49:58.7648527Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_avgpool PASSED [  4%]
2022-05-18T03:49:58.8181225Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_avgpool_1d_ceil PASSED [  4%]
2022-05-18T03:49:58.8849799Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_avgpool_2d_ceil PASSED [  4%]
2022-05-18T03:49:59.8630330Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_avgpool_3d_ceil PASSED [  4%]
2022-05-18T03:49:59.9134425Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_avgpool_default_stride PASSED [  4%]
2022-05-18T03:49:59.9489739Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_baddbmm PASSED [  4%]
2022-05-18T03:49:59.9771233Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_baddbmm_dynamic PASSED [  5%]
2022-05-18T03:49:59.9795055Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_batched_nms SKIPPED [  5%]
2022-05-18T03:50:00.0816534Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_batchnorm1d PASSED [  5%]
2022-05-18T03:50:00.1839715Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_batchnorm1d_noaffine PASSED [  5%]
2022-05-18T03:50:00.3422271Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_batchnorm1d_norunningstats PASSED [  5%]
2022-05-18T03:50:00.4141109Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_batchnorm2d PASSED [  5%]
2022-05-18T03:50:00.4863718Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_batchnorm2d_noaffine PASSED [  5%]
2022-05-18T03:50:00.5912381Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_batchnorm2d_norunningstats PASSED [  5%]
2022-05-18T03:50:04.8189165Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_batchnorm3d PASSED [  6%]
2022-05-18T03:50:08.5971071Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_batchnorm3d_noaffine PASSED [  6%]
2022-05-18T03:50:09.1389271Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_batchnorm_eval_mode_train_layer PASSED [  6%]
2022-05-18T03:50:09.3223323Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_batchnorm_training Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'bn1.num_batches_tracked'. This changes graph semantics.
2022-05-18T03:50:09.3224560Z Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'bn2.num_batches_tracked'. This changes graph semantics.
2022-05-18T03:50:09.3225539Z Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'bn3.num_batches_tracked'. This changes graph semantics.
2022-05-18T03:50:09.5774053Z Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'bn1.num_batches_tracked'. This changes graph semantics.
2022-05-18T03:50:09.5775278Z Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'bn2.num_batches_tracked'. This changes graph semantics.
2022-05-18T03:50:09.5776318Z Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'bn3.num_batches_tracked'. This changes graph semantics.
2022-05-18T03:50:09.6644113Z PASSED [  6%]
2022-05-18T03:50:09.9136380Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_batchnorm_training_mode_fix_layer Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'bn1.num_batches_tracked'. This changes graph semantics.
2022-05-18T03:50:09.9137599Z Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'bn2.num_batches_tracked'. This changes graph semantics.
2022-05-18T03:50:09.9138678Z Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'bn3.num_batches_tracked'. This changes graph semantics.
2022-05-18T03:50:10.2503898Z Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'bn1.num_batches_tracked'. This changes graph semantics.
2022-05-18T03:50:10.2504868Z Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'bn2.num_batches_tracked'. This changes graph semantics.
2022-05-18T03:50:10.3552184Z Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'bn3.num_batches_tracked'. This changes graph semantics.
2022-05-18T03:50:10.3552894Z PASSED [  6%]
2022-05-18T03:50:10.4308288Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_bernoulli PASSED [  6%]
2022-05-18T03:50:10.4332789Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_binary_cross_entropy_with_logits SKIPPED [  6%]
2022-05-18T03:50:10.4964220Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_bitshift PASSED [  6%]
2022-05-18T03:50:10.4988766Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_bitshift_uint8 SKIPPED [  7%]
2022-05-18T03:50:10.5011466Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_broad_cast_tensors SKIPPED [  7%]
2022-05-18T03:50:10.5555242Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_bucketize PASSED [  7%]
2022-05-18T03:50:10.5769018Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_cast_to PASSED [  7%]
2022-05-18T03:50:10.6239010Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_cast_to_bool PASSED [  7%]
2022-05-18T03:50:10.6262387Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_cast_type_as_with_bfloat16 SKIPPED [  7%]
2022-05-18T03:50:10.6653959Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_cdist PASSED [  7%]
2022-05-18T03:50:10.6677460Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_celu SKIPPED [  7%]
2022-05-18T03:50:10.6699548Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_celu_alpha SKIPPED [  8%]
2022-05-18T03:50:10.6721469Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_celu_cast SKIPPED [  8%]
2022-05-18T03:50:10.6742463Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_celu_default SKIPPED [  8%]
2022-05-18T03:50:10.6763548Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_chunk SKIPPED [  8%]
2022-05-18T03:50:10.7558428Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_clamp PASSED [  8%]
2022-05-18T03:50:10.8768701Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_clamp_dyn PASSED [  8%]
2022-05-18T03:50:10.8791690Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_clip_boxes_to_image SKIPPED [  8%]
2022-05-18T03:50:10.9084674Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_clip_int PASSED [  8%]
2022-05-18T03:50:10.9385375Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_concat PASSED [  9%]
2022-05-18T03:50:10.9407464Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_concat_dynamic SKIPPED [  9%]
2022-05-18T03:50:11.0005025Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_constant_pad PASSED [  9%]
2022-05-18T03:50:13.5642839Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_conv PASSED [  9%]
2022-05-18T03:50:13.7829272Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_conv_bn Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'bn.num_batches_tracked'. This changes graph semantics.
2022-05-18T03:50:13.8280585Z PASSED [  9%]
2022-05-18T03:50:14.0002237Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_conv_shape_inference PASSED [  9%]
2022-05-18T03:50:14.0393331Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_conv_tbc PASSED [  9%]
2022-05-18T03:50:34.8233126Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_conv_transpose PASSED [  9%]
2022-05-18T03:50:34.9613261Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_convolution_allow_tf32 PASSED [ 10%]
2022-05-18T03:50:34.9638048Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_copy_ SKIPPED [ 10%]
2022-05-18T03:50:34.9659929Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_copy_ellipsis SKIPPED [ 10%]
2022-05-18T03:50:34.9681526Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_copy_ellipsis_script SKIPPED [ 10%]
2022-05-18T03:50:34.9702684Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_copy_tracing SKIPPED [ 10%]
2022-05-18T03:50:35.0046903Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_cosine_similarity PASSED [ 10%]
2022-05-18T03:50:35.0768923Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_cross PASSED [ 10%]
2022-05-18T03:50:35.0792393Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_crossentropyloss SKIPPED [ 10%]
2022-05-18T03:50:35.1416188Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_cste_script PASSED [ 11%]
2022-05-18T03:50:35.1439131Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_cumsum SKIPPED [ 11%]
2022-05-18T03:50:35.1461673Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_cumsum_with_cast SKIPPED [ 11%]
2022-05-18T03:50:35.1785974Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_data PASSED [ 11%]
2022-05-18T03:50:35.2113526Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_dequantize PASSED [ 11%]
2022-05-18T03:50:35.3803236Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_derive_index PASSED [ 11%]
2022-05-18T03:50:35.3828263Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_derive_index_scripting SKIPPED [ 11%]
2022-05-18T03:50:35.3850459Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_det SKIPPED [ 11%]
2022-05-18T03:50:35.4113687Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_device_eq PASSED [ 12%]
2022-05-18T03:50:35.4136315Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_diagonal SKIPPED [ 12%]
2022-05-18T03:50:35.4235707Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_dict PASSED [ 12%]
2022-05-18T03:50:35.4308934Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_dict_output PASSED [ 12%]
2022-05-18T03:50:35.4427685Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_dict_str PASSED [ 12%]
2022-05-18T03:50:35.4782317Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_dim PASSED [ 12%]
2022-05-18T03:50:35.4805230Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_dim_1 SKIPPED [ 12%]
2022-05-18T03:50:35.4827645Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_dist_normal SKIPPED [ 12%]
2022-05-18T03:50:35.4849697Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_dist_normal_correctness SKIPPED [ 13%]
2022-05-18T03:50:35.4873670Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_dist_uniform SKIPPED [ 13%]
2022-05-18T03:50:35.4895672Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_dist_uniform_correctness SKIPPED [ 13%]
2022-05-18T03:50:35.5399650Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_div PASSED [ 13%]
2022-05-18T03:50:35.6179844Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_div_promotion_script PASSED [ 13%]
2022-05-18T03:50:35.6544630Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_div_promotion_trace PASSED [ 13%]
2022-05-18T03:50:36.0938602Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_div_rounding_mode PASSED [ 13%]
2022-05-18T03:50:36.1311667Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_dot PASSED [ 13%]
2022-05-18T03:50:36.1666595Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_dropout PASSED [ 14%]
2022-05-18T03:50:36.1688751Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_dropout_training SKIPPED [ 14%]
2022-05-18T03:50:36.1710157Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_dropout_training_zero SKIPPED [ 14%]
2022-05-18T03:50:36.1940881Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_dtype PASSED [ 14%]
2022-05-18T03:50:36.2182643Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_dtype_eq PASSED [ 14%]
2022-05-18T03:50:36.2684845Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_dynamic_arange_out PASSED [ 14%]
2022-05-18T03:50:36.4051565Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_dynamic_arange_start_out PASSED [ 14%]
2022-05-18T03:50:36.4074779Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_dynamic_chunk SKIPPED [ 14%]
2022-05-18T03:50:36.4096042Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_dynamic_expand_as SKIPPED [ 15%]
2022-05-18T03:50:36.4117094Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_dynamic_repeat_interleave SKIPPED [ 15%]
2022-05-18T03:50:36.4137961Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_einsum SKIPPED [ 15%]
2022-05-18T03:50:36.4486916Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_elman_relu_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:36.4487946Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:36.4813359Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:36.4813893Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:36.5305578Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:36.5306135Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:36.5631529Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:36.5632492Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:36.5822493Z PASSED [ 15%]
2022-05-18T03:50:36.6173028Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_elman_relu_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:36.6174935Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:36.6499533Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:36.6500477Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:36.6995069Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:36.6996118Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:36.7322349Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:36.7323365Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:36.7502481Z PASSED [ 15%]
2022-05-18T03:50:36.7850407Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_elman_relu_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:36.7851128Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:36.8174796Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:36.8175541Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:36.8655304Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:36.8982272Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:36.8982986Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:36.8983498Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:36.9154974Z PASSED [ 15%]
2022-05-18T03:50:36.9497446Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_elman_relu_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:36.9498416Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:36.9821568Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:36.9822226Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:37.0301160Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:37.0301813Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:37.0625491Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:37.0626243Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:37.0798545Z PASSED [ 15%]
2022-05-18T03:50:37.1313622Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_elman_relu_trilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:37.1385421Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:37.1446861Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:37.2018746Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:37.2093061Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:37.2154469Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:37.2246957Z PASSED [ 15%]
2022-05-18T03:50:37.2759640Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_elman_relu_trilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:37.2832209Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:37.2893384Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:37.3466957Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:37.3539548Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:37.3600765Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:37.3694121Z PASSED [ 16%]
2022-05-18T03:50:37.4035273Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_elman_relu_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:37.4035997Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:37.4337403Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:37.4338174Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:37.4778782Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:37.4779311Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:37.5083532Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:37.5084066Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:37.5221326Z PASSED [ 16%]
2022-05-18T03:50:37.5566237Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_elman_relu_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:37.5567609Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:37.5869314Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:37.5870282Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:37.6313576Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:37.6314565Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:37.6616291Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:37.6617227Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:37.6753828Z PASSED [ 16%]
2022-05-18T03:50:37.7094973Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_elman_relu_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:37.7096311Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:37.7398862Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:37.7399827Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:37.7835626Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:37.7836847Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:37.8138921Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:37.8139872Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:37.8271451Z PASSED [ 16%]
2022-05-18T03:50:37.8613539Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_elman_relu_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:37.8615120Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:37.8916213Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:37.8917168Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:37.9350769Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:37.9351807Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:37.9652998Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:37.9653964Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:37.9785028Z PASSED [ 16%]
2022-05-18T03:50:38.0091112Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_elman_relu_trilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:38.0157906Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:38.0203606Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:38.0546924Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:38.0612825Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:38.0658818Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:38.0730325Z PASSED [ 16%]
2022-05-18T03:50:38.1036151Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_elman_relu_trilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:38.1102449Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:38.1148076Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:38.1489314Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:38.1555994Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:38.1601654Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:38.1672718Z PASSED [ 16%]
2022-05-18T03:50:38.1977027Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_elman_relu_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:38.1978346Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:38.2266604Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:38.2267539Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:38.2678173Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:38.2679152Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:38.2969139Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:38.2970071Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:38.3107499Z PASSED [ 16%]
2022-05-18T03:50:38.3412009Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_elman_relu_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:38.3412734Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:38.3703800Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:38.3704737Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:38.4112256Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:38.4112995Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:38.4403297Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:38.4403997Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:38.4541811Z PASSED [ 17%]
2022-05-18T03:50:38.4844973Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_elman_relu_trilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:38.4845686Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:38.5132025Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:38.5132740Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:38.5532606Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:38.5533143Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:38.5821101Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:38.5821690Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:38.5955660Z PASSED [ 17%]
2022-05-18T03:50:38.6264516Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_elman_relu_trilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:38.6265260Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:38.6553363Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:38.6553885Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:38.6970170Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:38.6970731Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:38.7259625Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:38.7260135Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:38.7393216Z PASSED [ 17%]
2022-05-18T03:50:38.7866820Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_elman_relu_trilayer_forward_no_initial_state_without_sequence_lengths_with_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:38.7903144Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:38.7938655Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:38.8458786Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:38.8496615Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:38.8531718Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:38.8612236Z PASSED [ 17%]
2022-05-18T03:50:38.9082329Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_elman_relu_trilayer_forward_no_initial_state_without_sequence_lengths_without_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:38.9118755Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:38.9153943Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:38.9674731Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:38.9711122Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:38.9747220Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:38.9826949Z PASSED [ 17%]
2022-05-18T03:50:39.0124500Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_elman_relu_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:39.0125448Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:39.0393420Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:39.0394198Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:39.0762680Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:39.0763209Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:39.1033870Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:39.1034390Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:39.1133215Z PASSED [ 17%]
2022-05-18T03:50:39.1432330Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_elman_relu_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:39.1433131Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:39.1699284Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:39.1700016Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:39.2064655Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:39.2065343Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:39.2332299Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:39.2333034Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:39.2431010Z PASSED [ 17%]
2022-05-18T03:50:39.2730256Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_elman_relu_trilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:39.2731032Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:39.2999285Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:39.2999900Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:39.3362045Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:39.3362764Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:39.3630938Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:39.3631692Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:39.3726483Z PASSED [ 17%]
2022-05-18T03:50:39.4023780Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_elman_relu_trilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:39.4024547Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:39.4292018Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:39.4292587Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:39.4656707Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:39.4657253Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:39.4930352Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:39.4931134Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:39.5034431Z PASSED [ 18%]
2022-05-18T03:50:39.5304581Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_elman_relu_trilayer_forward_with_initial_state_without_sequence_lengths_with_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:39.5338778Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:39.5362713Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:39.5662204Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:39.5695985Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:39.5720037Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:39.5781932Z PASSED [ 18%]
2022-05-18T03:50:39.6048521Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_elman_relu_trilayer_forward_with_initial_state_without_sequence_lengths_without_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:39.6082130Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:39.6104402Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:39.6401116Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:39.6435022Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:39.6457153Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:39.6519650Z PASSED [ 18%]
2022-05-18T03:50:39.6813285Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_elman_relu_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:39.6813991Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:39.7089050Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:39.7089585Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:39.7436374Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:39.7436891Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:39.7708218Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:39.7708757Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:39.7792861Z PASSED [ 18%]
2022-05-18T03:50:39.8087215Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_elman_relu_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:39.8087930Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:39.8360823Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:39.8361355Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:39.8703080Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:39.8703613Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:39.8974058Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:39.8974668Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:39.9055798Z PASSED [ 18%]
2022-05-18T03:50:39.9346587Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_elman_relu_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:39.9347372Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:39.9617707Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:39.9618233Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:39.9955057Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:39.9955841Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:40.0226299Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:40.0226846Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:40.0304797Z PASSED [ 18%]
2022-05-18T03:50:40.0594849Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_elman_relu_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:40.0595661Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:40.0866822Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:40.0867363Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:40.1202013Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:40.1202547Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:40.1473860Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:40.1474389Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:40.1550348Z PASSED [ 18%]
2022-05-18T03:50:40.2008769Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_elman_relu_unilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:40.2027720Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:40.2045460Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:40.2524480Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:40.2543406Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:40.2560997Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:40.2611658Z PASSED [ 18%]
2022-05-18T03:50:40.3073288Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_elman_relu_unilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:40.3091882Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:40.3109545Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:40.3584407Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:40.3603566Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:40.3621025Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:40.3668625Z PASSED [ 19%]
2022-05-18T03:50:40.3957529Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_elman_relu_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:40.3958246Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:40.4209819Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:40.4210504Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:40.4535434Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:40.4536165Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:40.4787526Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:40.4788233Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:40.4853921Z PASSED [ 19%]
2022-05-18T03:50:40.5144989Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_elman_relu_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:40.5145702Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:40.5395992Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:40.5396880Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:40.5719881Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:40.5720885Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:40.5974193Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:40.5975460Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:40.6044559Z PASSED [ 19%]
2022-05-18T03:50:40.6339162Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_elman_relu_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:40.6340527Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:40.6592477Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:40.6593518Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:40.6920722Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:40.6921731Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:40.7175438Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:40.7175989Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:40.7240087Z PASSED [ 19%]
2022-05-18T03:50:40.7532795Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_elman_relu_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:40.7533501Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:40.7785744Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:40.7786308Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:40.8105839Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:40.8106391Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:40.8359006Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:40.8359514Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:40.8421762Z PASSED [ 19%]
2022-05-18T03:50:40.8675593Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_elman_relu_unilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:40.8693284Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:40.8705878Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:40.8967018Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:40.8984734Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:40.8997811Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:40.9036922Z PASSED [ 19%]
2022-05-18T03:50:40.9289174Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_elman_relu_unilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:40.9308324Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:40.9321227Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:40.9580836Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:40.9598339Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:40.9610913Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:40.9647617Z PASSED [ 19%]
2022-05-18T03:50:40.9926228Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_elman_relu_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:40.9927158Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:41.0187370Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:41.0188079Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:41.0510170Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:41.0510843Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:41.0771286Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:41.0771904Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:41.0845160Z PASSED [ 19%]
2022-05-18T03:50:41.1125214Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_elman_relu_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:41.1125927Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:41.1384998Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:41.1385507Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:41.1707106Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:41.1707641Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:41.1971064Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:41.1971613Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:41.2044845Z PASSED [ 20%]
2022-05-18T03:50:41.2322943Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_elman_relu_unilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:41.2323649Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:41.2587688Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:41.2588565Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:41.2904019Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:41.2905014Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:41.3166432Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:41.3167412Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:41.3234066Z PASSED [ 20%]
2022-05-18T03:50:41.3511464Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_elman_relu_unilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:41.3512841Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:41.3773180Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:41.3774112Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:41.4087653Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:41.4088665Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:41.4349978Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:41.4350902Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:41.4418054Z PASSED [ 20%]
2022-05-18T03:50:41.4862119Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_elman_relu_unilayer_forward_no_initial_state_without_sequence_lengths_with_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:41.4872307Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:41.4884626Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:41.5343163Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:41.5353753Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:41.5366073Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:41.5412143Z PASSED [ 20%]
2022-05-18T03:50:41.5855827Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_elman_relu_unilayer_forward_no_initial_state_without_sequence_lengths_without_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:41.5866213Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:41.5878936Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:41.6340089Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:41.6350276Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:41.6362805Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:41.6408646Z PASSED [ 20%]
2022-05-18T03:50:41.6682474Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_elman_relu_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:41.6683783Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:41.6927655Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:41.6928616Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:41.7227062Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:41.7227687Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:41.7469815Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:41.7470381Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:41.7527079Z PASSED [ 20%]
2022-05-18T03:50:41.7805360Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_elman_relu_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:41.7806366Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:41.8049107Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:41.8049704Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:41.8356121Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:41.8356739Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:41.8599218Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:41.8599815Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:41.8658889Z PASSED [ 20%]
2022-05-18T03:50:41.8934138Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_elman_relu_unilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:41.8934954Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:41.9178680Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:41.9179260Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:41.9471450Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:41.9471977Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:41.9713674Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:41.9714224Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:41.9765437Z PASSED [ 20%]
2022-05-18T03:50:42.0037431Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_elman_relu_unilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:42.0038131Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:42.0279939Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:42.0280521Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:42.0574708Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:42.0575748Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:42.0819848Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:42.0821109Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:42.0874344Z PASSED [ 20%]
2022-05-18T03:50:42.1117487Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_elman_relu_unilayer_forward_with_initial_state_without_sequence_lengths_with_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:42.1125312Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:42.1132606Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:42.1381048Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:42.1388594Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:42.1395708Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:42.1433103Z PASSED [ 21%]
2022-05-18T03:50:42.1673931Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_elman_relu_unilayer_forward_with_initial_state_without_sequence_lengths_without_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:42.1681651Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:42.1688841Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:42.1933936Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:42.1941878Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:42.1948888Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:42.1983940Z PASSED [ 21%]
2022-05-18T03:50:42.2330891Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_elman_tanh_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:42.2331668Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:42.2663797Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:42.2664349Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:42.3152955Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:42.3153491Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:42.3478010Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:42.3478534Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:42.3658286Z PASSED [ 21%]
2022-05-18T03:50:42.4003697Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_elman_tanh_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:42.4004408Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:42.4327777Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:42.4328313Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:42.4817803Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:42.4818344Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:42.5141152Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:42.5141657Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:42.5319992Z PASSED [ 21%]
2022-05-18T03:50:42.5666405Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_elman_tanh_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:42.5667109Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:42.5991058Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:42.5991578Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:42.6469996Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:42.6470705Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:42.6795710Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:42.6796231Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:42.6969971Z PASSED [ 21%]
2022-05-18T03:50:42.7315073Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_elman_tanh_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:42.7639389Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:42.7639916Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:42.7640425Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:42.8128093Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:42.8128631Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:42.8455311Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:42.8455893Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:42.8628864Z PASSED [ 21%]
2022-05-18T03:50:42.9144553Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_elman_tanh_trilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:42.9216924Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:42.9278501Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:42.9851694Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:42.9923607Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:42.9985200Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:43.0081248Z PASSED [ 21%]
2022-05-18T03:50:43.0601114Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_elman_tanh_trilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:43.0674302Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:43.0736650Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:43.1318931Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:43.1391421Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:43.1453188Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:43.1549379Z PASSED [ 21%]
2022-05-18T03:50:43.1892560Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_elman_tanh_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:43.1893332Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:43.2195196Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:43.2195773Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:43.2642869Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:43.2643391Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:43.2949664Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:43.2950474Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:43.3089060Z PASSED [ 22%]
2022-05-18T03:50:43.3430986Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_elman_tanh_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:43.3431704Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:43.3733690Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:43.3734428Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:43.4177082Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:43.4177614Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:43.4478378Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:43.4478941Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:43.4616941Z PASSED [ 22%]
2022-05-18T03:50:43.4959848Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_elman_tanh_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:43.4960549Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:43.5262633Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:43.5263163Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:43.5702521Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:43.5703511Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:43.6006924Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:43.6007912Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:43.6141241Z PASSED [ 22%]
2022-05-18T03:50:43.6483009Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_elman_tanh_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:43.6484449Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:43.6787174Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:43.6788149Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:43.7225307Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:43.7226331Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:43.7527834Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:43.7528813Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:43.7662419Z PASSED [ 22%]
2022-05-18T03:50:43.7969170Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_elman_tanh_trilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:43.8035715Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:43.8081391Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:43.8423732Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:43.8490006Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:43.8535949Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:43.8607478Z PASSED [ 22%]
2022-05-18T03:50:43.8915119Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_elman_tanh_trilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:43.8981695Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:43.9027387Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:43.9372474Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:43.9441094Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:43.9486804Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:43.9561291Z PASSED [ 22%]
2022-05-18T03:50:43.9871845Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_elman_tanh_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:43.9873496Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:44.0161154Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:44.0162089Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:44.0577809Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:44.0578828Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:44.0867572Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:44.0868549Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:44.1008155Z PASSED [ 22%]
2022-05-18T03:50:44.1312725Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_elman_tanh_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:44.1314069Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:44.1601643Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:44.1602567Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:44.2012564Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:44.2013568Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:44.2302766Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:44.2303706Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:44.2441299Z PASSED [ 22%]
2022-05-18T03:50:44.2749377Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_elman_tanh_trilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:44.2750087Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:44.3038701Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:44.3039294Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:44.3441056Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:44.3441594Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:44.3731379Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:44.3731988Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:44.3864968Z PASSED [ 23%]
2022-05-18T03:50:44.4170501Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_elman_tanh_trilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:44.4171215Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:44.4465388Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:44.4466020Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:44.4870350Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:44.4871045Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:44.5159620Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:44.5160539Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:44.5293998Z PASSED [ 23%]
2022-05-18T03:50:44.5767918Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_elman_tanh_trilayer_forward_no_initial_state_without_sequence_lengths_with_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:44.5804705Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:44.5840358Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:44.6360977Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:44.6398308Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:44.6433509Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:44.6514440Z PASSED [ 23%]
2022-05-18T03:50:44.6987656Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_elman_tanh_trilayer_forward_no_initial_state_without_sequence_lengths_without_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:44.7024806Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:44.7059799Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:44.7581517Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:44.7618350Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:44.7653270Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:44.7734966Z PASSED [ 23%]
2022-05-18T03:50:44.8034641Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_elman_tanh_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:44.8035417Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:44.8304405Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:44.8304926Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:44.8672704Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:44.8673263Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:44.8942624Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:44.8943232Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:44.9042476Z PASSED [ 23%]
2022-05-18T03:50:44.9341595Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_elman_tanh_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:44.9342291Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:44.9609835Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:44.9610362Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:44.9979780Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:44.9980349Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:45.0249734Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:45.0250241Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:45.0352057Z PASSED [ 23%]
2022-05-18T03:50:45.0651709Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_elman_tanh_trilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:45.0652426Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:45.0920813Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:45.0921347Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:45.1282752Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:45.1283517Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:45.1553833Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:45.1554383Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:45.1649657Z PASSED [ 23%]
2022-05-18T03:50:45.1948972Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_elman_tanh_trilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:45.1949689Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:45.2218249Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:45.2218808Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:45.2579464Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:45.2579990Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:45.2848030Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:45.2848602Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:45.2943455Z PASSED [ 23%]
2022-05-18T03:50:45.3208146Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_elman_tanh_trilayer_forward_with_initial_state_without_sequence_lengths_with_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:45.3242251Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:45.3264437Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:45.3558806Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:45.3592915Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:45.3614917Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:45.3674715Z PASSED [ 24%]
2022-05-18T03:50:45.3939886Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_elman_tanh_trilayer_forward_with_initial_state_without_sequence_lengths_without_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:45.3977318Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:45.3999487Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:45.4292814Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:45.4326570Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:45.4348899Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:45.4407696Z PASSED [ 24%]
2022-05-18T03:50:45.4697759Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_elman_tanh_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:45.4698468Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:45.4971214Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:45.4971884Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:45.5311790Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:45.5312309Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:45.5583160Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:45.5583711Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:45.5665889Z PASSED [ 24%]
2022-05-18T03:50:45.5958743Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_elman_tanh_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:45.5959450Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:45.6229640Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:45.6230389Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:45.6571386Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:45.6571921Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:45.6843327Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:45.6843830Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:45.6925428Z PASSED [ 24%]
2022-05-18T03:50:45.7217586Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_elman_tanh_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:45.7218295Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:45.7488976Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:45.7489486Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:45.7825109Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:45.7825652Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:45.8095921Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:45.8096465Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:45.8172699Z PASSED [ 24%]
2022-05-18T03:50:45.8462245Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_elman_tanh_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:45.8462959Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:45.8733667Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:45.8734191Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:45.9070569Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:45.9071487Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:45.9342592Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:45.9343312Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:45.9420281Z PASSED [ 24%]
2022-05-18T03:50:45.9880127Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_elman_tanh_unilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:45.9899267Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:45.9916970Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:46.0393900Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:46.0412215Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:46.0430452Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:46.0482075Z PASSED [ 24%]
2022-05-18T03:50:46.0946132Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_elman_tanh_unilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:46.0966061Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:46.0984642Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:46.1468885Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:46.1488223Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:46.1506789Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:46.1559428Z PASSED [ 24%]
2022-05-18T03:50:46.1850398Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_elman_tanh_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:46.1852070Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:46.2105979Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:46.2106952Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:46.2449742Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:46.2450749Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:46.2705626Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:46.2706851Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:46.2774435Z PASSED [ 25%]
2022-05-18T03:50:46.3062914Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_elman_tanh_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:46.3064238Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:46.3316801Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:46.3317770Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:46.3640430Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:46.3641428Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:46.3898650Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:46.3899643Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:46.3964995Z PASSED [ 25%]
2022-05-18T03:50:46.4252077Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_elman_tanh_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:46.4253416Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:46.4505340Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:46.4506294Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:46.4819896Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:46.4820905Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:46.5072716Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:46.5073694Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:46.5133377Z PASSED [ 25%]
2022-05-18T03:50:46.5419511Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_elman_tanh_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:46.5420849Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:46.5673809Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:46.5674781Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:46.5988694Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:46.5989661Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:46.6241597Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:46.6242277Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:46.6301223Z PASSED [ 25%]
2022-05-18T03:50:46.6553828Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_elman_tanh_unilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:46.6570938Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:46.6583820Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:46.6844654Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:46.6861856Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:46.6874435Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:46.6913472Z PASSED [ 25%]
2022-05-18T03:50:46.7166994Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_elman_tanh_unilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:46.7184306Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:46.7197002Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:46.7458101Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:46.7475395Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:46.7487905Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:46.7525732Z PASSED [ 25%]
2022-05-18T03:50:46.7803460Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_elman_tanh_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:46.7804155Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:46.8064440Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:46.8064965Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:46.8381161Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:46.8381840Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:46.8642315Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:46.8643055Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:46.8713622Z PASSED [ 25%]
2022-05-18T03:50:46.8993108Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_elman_tanh_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:46.8994089Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:46.9254322Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:46.9255015Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:46.9576354Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:46.9576936Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:46.9838385Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:46.9838919Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:46.9911069Z PASSED [ 25%]
2022-05-18T03:50:47.0190799Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_elman_tanh_unilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:47.0191562Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:47.0453851Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:47.0454430Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:47.0767798Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:47.0768345Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:47.1028885Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:47.1029440Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:47.1097716Z PASSED [ 26%]
2022-05-18T03:50:47.1375883Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_elman_tanh_unilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:47.1376586Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:47.1636450Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:47.1637012Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:47.1951065Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:47.1951597Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:47.2211615Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:47.2212332Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:47.2281683Z PASSED [ 26%]
2022-05-18T03:50:47.2726565Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_elman_tanh_unilayer_forward_no_initial_state_without_sequence_lengths_with_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:47.2735755Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:47.2747979Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:47.3209203Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:47.3218421Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:47.3229677Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:47.3274942Z PASSED [ 26%]
2022-05-18T03:50:47.3716595Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_elman_tanh_unilayer_forward_no_initial_state_without_sequence_lengths_without_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:47.3725736Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:47.3737075Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:47.4197538Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:47.4206896Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:47.4218698Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:47.4264003Z PASSED [ 26%]
2022-05-18T03:50:47.4536578Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_elman_tanh_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:47.4537261Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:47.4778967Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:47.4779493Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:47.5075301Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:47.5075839Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:47.5316940Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:47.5317474Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:47.5370507Z PASSED [ 26%]
2022-05-18T03:50:47.5641578Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_elman_tanh_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:47.5642278Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:47.5886594Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:47.5887110Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:47.6185535Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:47.6186126Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:47.6428464Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:47.6428982Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:47.6483513Z PASSED [ 26%]
2022-05-18T03:50:47.6756378Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_elman_tanh_unilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:47.6757277Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:47.7004140Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:47.7004670Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:47.7298915Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:47.7299693Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:47.7543941Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:47.7544459Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:47.7597407Z PASSED [ 26%]
2022-05-18T03:50:47.7873638Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_elman_tanh_unilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:47.7874367Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:47.8115548Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:47.8116085Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:47.8409070Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:47.8409607Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:47.8650842Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:47.8651382Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:47.8701767Z PASSED [ 26%]
2022-05-18T03:50:47.8942305Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_elman_tanh_unilayer_forward_with_initial_state_without_sequence_lengths_with_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:47.8950759Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:47.8958157Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:47.9205083Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:47.9212832Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:47.9220274Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:47.9257100Z PASSED [ 27%]
2022-05-18T03:50:47.9496698Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_elman_tanh_unilayer_forward_with_initial_state_without_sequence_lengths_without_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:47.9504033Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:47.9511795Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:47.9756285Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:47.9763922Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:47.9770743Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:50:47.9804002Z PASSED [ 27%]
2022-05-18T03:50:48.1100982Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_embedding PASSED [ 27%]
2022-05-18T03:50:48.2415262Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_embedding_bag PASSED [ 27%]
2022-05-18T03:50:48.2439166Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_embedding_bag_1d_per_sample_weights SKIPPED [ 27%]
2022-05-18T03:50:48.2461109Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_embedding_bag_2d_per_sample_weights SKIPPED [ 27%]
2022-05-18T03:50:48.2482454Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_embedding_bag_dynamic_input SKIPPED [ 27%]
2022-05-18T03:50:48.2671973Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_embedding_model_with_external_data PASSED [ 27%]
2022-05-18T03:50:48.4075139Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_embedding_module PASSED [ 28%]
2022-05-18T03:50:48.4098443Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_embedding_renorm SKIPPED [ 28%]
2022-05-18T03:50:48.4436832Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_empty_branch PASSED [ 28%]
2022-05-18T03:50:48.4545564Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_empty_constant_shape Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'x.1'. This changes graph semantics.
2022-05-18T03:50:48.5010799Z Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'x.1'. This changes graph semantics.
2022-05-18T03:50:48.5470713Z Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'x.1'. This changes graph semantics.
2022-05-18T03:50:48.5977638Z Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'x.1'. This changes graph semantics.
2022-05-18T03:50:48.6637453Z PASSED [ 28%]
2022-05-18T03:50:48.6785910Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_empty_kwargs PASSED [ 28%]
2022-05-18T03:50:48.6808639Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_eq SKIPPED [ 28%]
2022-05-18T03:50:48.7915395Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_expand PASSED [ 28%]
2022-05-18T03:50:48.9230141Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_eye PASSED [ 28%]
2022-05-18T03:50:48.9254207Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_fake_quantize_activation SKIPPED [ 29%]
2022-05-18T03:50:48.9276328Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_fake_quantize_per_channel SKIPPED [ 29%]
2022-05-18T03:50:48.9676753Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_fake_quantize_per_tensor PASSED [ 29%]
2022-05-18T03:50:48.9699500Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_fake_quantize_per_tensor_dynamic_scale_zeropoint SKIPPED [ 29%]
2022-05-18T03:50:48.9721260Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_faster_rcnn SKIPPED [ 29%]
2022-05-18T03:50:49.0037849Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_fill PASSED [ 29%]
2022-05-18T03:50:49.0639048Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_flatten PASSED [ 29%]
2022-05-18T03:50:49.0923105Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_flatten2d PASSED [ 29%]
2022-05-18T03:50:49.1490651Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_flatten2d_neg PASSED [ 30%]
2022-05-18T03:50:49.1821763Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_flatten_dynamic_axes PASSED [ 30%]
2022-05-18T03:50:49.2075500Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_flip PASSED [ 30%]
2022-05-18T03:50:49.2767100Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_floating_point PASSED [ 30%]
2022-05-18T03:50:49.2792073Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_floating_point_infer_dtype SKIPPED [ 30%]
2022-05-18T03:50:49.6034919Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_floor_div PASSED [ 30%]
2022-05-18T03:50:49.6294865Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_floor_div_script PASSED [ 30%]
2022-05-18T03:50:49.7477780Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_floordiv PASSED [ 30%]
2022-05-18T03:50:49.7684916Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_fmod PASSED [ 31%]
2022-05-18T03:50:49.7934296Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_fmod_scalar PASSED [ 31%]
2022-05-18T03:50:49.8956050Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_frobenius_norm PASSED [ 31%]
2022-05-18T03:50:49.9272427Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_frobenius_norm_keepdim PASSED [ 31%]
2022-05-18T03:50:49.9649709Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_full_like PASSED [ 31%]
2022-05-18T03:50:50.0132568Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_full_like_value PASSED [ 31%]
2022-05-18T03:50:50.0328974Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_full_script PASSED [ 31%]
2022-05-18T03:50:50.0703513Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_full_trace PASSED [ 31%]
2022-05-18T03:50:50.0955562Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_fuse_addmm PASSED [ 32%]
2022-05-18T03:50:50.1930704Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_fuse_conv_bn1d PASSED [ 32%]
2022-05-18T03:50:50.2976041Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_fuse_conv_bn2d PASSED [ 32%]
2022-05-18T03:50:50.4233553Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_fuse_conv_bn3d PASSED [ 32%]
2022-05-18T03:50:50.5018358Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_fuse_conv_in_block PASSED [ 32%]
2022-05-18T03:50:50.5373951Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_gather PASSED [ 32%]
2022-05-18T03:50:50.5919378Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_gather_constant_fold Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: '0'. This changes graph semantics.
2022-05-18T03:50:50.6121447Z PASSED [ 32%]
2022-05-18T03:50:50.6886064Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_ge PASSED [ 32%]
2022-05-18T03:50:50.7359706Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_ge_scalar PASSED [ 33%]
2022-05-18T03:50:50.7646322Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_gelu PASSED [ 33%]
2022-05-18T03:50:50.7669773Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_getitem SKIPPED [ 33%]
2022-05-18T03:50:50.7970502Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_glu PASSED [ 33%]
2022-05-18T03:50:50.7993631Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_grid_sample SKIPPED [ 33%]
2022-05-18T03:51:01.5034965Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_groupnorm PASSED [ 33%]
2022-05-18T03:51:01.8760640Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_groupnorm_noaffine PASSED [ 33%]
2022-05-18T03:51:02.0492224Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_gru_constant_folding WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:02.0768996Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:02.0924448Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:02.1236081Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:02.1475079Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:02.1613543Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:02.3280371Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:02.3492417Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:02.3617965Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:02.3922537Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:02.4099658Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:02.4200671Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:02.4265347Z PASSED [ 33%]
2022-05-18T03:51:02.5846686Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_gru_no_bias WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:02.5897259Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:02.5959706Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:02.6011308Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:02.6035573Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:02.6064518Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:02.6118799Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:02.6119889Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:02.6124978Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:02.6408380Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:02.6454308Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:02.6510616Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:02.6536472Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:02.6562956Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:02.6594431Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:02.6607008Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:02.6607512Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:02.6612517Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:02.8099575Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:02.8124021Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:02.8156293Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:02.8187569Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:02.8229445Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:02.8241560Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:02.8256340Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:02.8271087Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:02.8319882Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:02.8320396Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:02.8323605Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:02.8327076Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:02.8603947Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:02.8627469Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:02.8656764Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:02.8685620Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:02.8704272Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:02.8717295Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:02.8733400Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:02.8749775Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:02.8759489Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:02.8759994Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:02.8763710Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:02.8767246Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:02.8825506Z PASSED [ 34%]
2022-05-18T03:51:02.9193354Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_gru_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:02.9194056Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:02.9801051Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:02.9801695Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:03.0543332Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:03.0543942Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:03.1152582Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:03.1153167Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:03.1558387Z PASSED [ 34%]
2022-05-18T03:51:03.1926767Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_gru_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:03.1927534Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:03.2537702Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:03.2538284Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:03.3279477Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:03.3280275Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:03.3885729Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:03.3886242Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:03.4291783Z PASSED [ 34%]
2022-05-18T03:51:03.4660652Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_gru_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:03.4661433Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:03.5265230Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:03.5265762Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:03.6000741Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:03.6001327Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:03.6606856Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:03.6607471Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:03.7007241Z PASSED [ 34%]
2022-05-18T03:51:03.7376754Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_gru_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:03.7377732Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:03.7980819Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:03.7981362Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:03.8710097Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:03.8710628Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:03.9316063Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:03.9316588Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:03.9715798Z PASSED [ 34%]
2022-05-18T03:51:04.0258484Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_gru_trilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:04.0638302Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:04.0886680Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:04.1494647Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:04.1878646Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:04.2127695Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:04.2225595Z PASSED [ 34%]
2022-05-18T03:51:04.2769985Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_gru_trilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:04.3151331Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:04.3400669Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:04.4002435Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:04.4380633Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:04.4629941Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:04.4727009Z PASSED [ 34%]
2022-05-18T03:51:04.5093305Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_gru_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:04.5094082Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:04.5676362Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:04.5677180Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:04.6366314Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:04.6366904Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:04.6948077Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:04.6948626Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:04.7310930Z PASSED [ 34%]
2022-05-18T03:51:04.7677353Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_gru_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:04.7678058Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:04.8259240Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:04.8259775Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:04.8951189Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:04.8951714Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:04.9532866Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:04.9533474Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:04.9896337Z PASSED [ 35%]
2022-05-18T03:51:05.0261503Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_gru_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:05.0262207Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:05.0842572Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:05.0843127Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:05.1527659Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:05.1528230Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:05.2113989Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:05.2114655Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:05.2475605Z PASSED [ 35%]
2022-05-18T03:51:05.2841152Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_gru_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:05.2842476Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:05.3423393Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:05.3423948Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:05.4112502Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:05.4113102Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:05.4701561Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:05.4702145Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:05.5061794Z PASSED [ 35%]
2022-05-18T03:51:05.5393487Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_gru_trilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:05.5766231Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:05.5999011Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:05.6369374Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:05.6741138Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:05.6975121Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:05.7051443Z PASSED [ 35%]
2022-05-18T03:51:05.7383936Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_gru_trilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:05.7759421Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:05.7991900Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:05.8363944Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:05.8738156Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:05.8970198Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:05.9044713Z PASSED [ 35%]
2022-05-18T03:51:05.9360885Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_gru_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:05.9361754Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:05.9779256Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:05.9779971Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:06.0301801Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:06.0302516Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:06.0720056Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:06.0720774Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:06.0959075Z PASSED [ 35%]
2022-05-18T03:51:06.1274142Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_gru_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:06.1274862Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:06.1691247Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:06.1691775Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:06.2211657Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:06.2212198Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:06.2631996Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:06.2632589Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:06.2875512Z PASSED [ 35%]
2022-05-18T03:51:06.3194354Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_gru_trilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:06.3195098Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:06.3618818Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:06.3619351Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:06.4133298Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:06.4133836Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:06.4559580Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:06.4560357Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:06.4795936Z PASSED [ 35%]
2022-05-18T03:51:06.5116716Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_gru_trilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:06.5117430Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:06.5538163Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:06.5539071Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:06.6053341Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:06.6054391Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:06.6478298Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:06.6479142Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:06.6712868Z PASSED [ 36%]
2022-05-18T03:51:06.7202111Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_gru_trilayer_forward_no_initial_state_without_sequence_lengths_with_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:06.7384310Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:06.7500422Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:06.8041025Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:06.8220474Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:06.8336220Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:06.8420886Z PASSED [ 36%]
2022-05-18T03:51:06.8903408Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_gru_trilayer_forward_no_initial_state_without_sequence_lengths_without_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:06.9081722Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:06.9196567Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:06.9728236Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:06.9910395Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:07.0025458Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:07.0110958Z PASSED [ 36%]
2022-05-18T03:51:07.0423664Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_gru_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:07.0424371Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:07.0822848Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:07.0823380Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:07.1295178Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:07.1295737Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:07.1692607Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:07.1693143Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:07.1888891Z PASSED [ 36%]
2022-05-18T03:51:07.2197162Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_gru_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:07.2197932Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:07.2595003Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:07.2595543Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:07.3066670Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:07.3067514Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:07.3467557Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:07.3468130Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:07.3666502Z PASSED [ 36%]
2022-05-18T03:51:07.3974000Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_gru_trilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:07.3974895Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:07.4373988Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:07.4374677Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:07.4841881Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:07.4842468Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:07.5240446Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:07.5240982Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:07.5432518Z PASSED [ 36%]
2022-05-18T03:51:07.5738105Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_gru_trilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:07.5738851Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:07.6136652Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:07.6137243Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:07.6605205Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:07.6605771Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:07.7006504Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:07.7007293Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:07.7198687Z PASSED [ 36%]
2022-05-18T03:51:07.7475719Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_gru_trilayer_forward_with_initial_state_without_sequence_lengths_with_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:07.7654359Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:07.7755045Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:07.8069070Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:07.8245956Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:07.8347015Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:07.8412198Z PASSED [ 36%]
2022-05-18T03:51:07.8689365Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_gru_trilayer_forward_with_initial_state_without_sequence_lengths_without_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:07.8867033Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:07.8966447Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:07.9275503Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:07.9453758Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:07.9554839Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:07.9619103Z PASSED [ 37%]
2022-05-18T03:51:07.9918515Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_gru_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:07.9919197Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:08.0276382Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:08.0277122Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:08.0695503Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:08.0696118Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:08.1054096Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:08.1054822Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:08.1202536Z PASSED [ 37%]
2022-05-18T03:51:08.1503495Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_gru_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:08.1504219Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:08.1860206Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:08.1860721Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:08.2273318Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:08.2273861Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:08.2630579Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:08.2631107Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:08.2776212Z PASSED [ 37%]
2022-05-18T03:51:08.3074551Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_gru_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:08.3075272Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:08.3432626Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:08.3433150Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:08.3841714Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:08.3842494Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:08.4201345Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:08.4201864Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:08.4344853Z PASSED [ 37%]
2022-05-18T03:51:08.4645389Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_gru_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:08.4646377Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:08.5003278Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:08.5003805Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:08.5410793Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:08.5411322Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:08.5770934Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:08.5771478Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:08.5911755Z PASSED [ 37%]
2022-05-18T03:51:08.6377859Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_gru_unilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:08.6489084Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:08.6555686Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:08.7045243Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:08.7156797Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:08.7223962Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:08.7276558Z PASSED [ 37%]
2022-05-18T03:51:08.7745400Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_gru_unilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:08.7857559Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:08.7924226Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:08.8410338Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:08.8521231Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:08.8589035Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:08.8640250Z PASSED [ 37%]
2022-05-18T03:51:08.8935122Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_gru_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:08.8935827Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:08.9273644Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:08.9274204Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:08.9661671Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:08.9662286Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:08.9999687Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:09.0000231Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:09.0129354Z PASSED [ 37%]
2022-05-18T03:51:09.0424730Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_gru_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:09.0425417Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:09.0762961Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:09.0763702Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:09.1157327Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:09.1157858Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:09.1493334Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:09.1493909Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:09.1622202Z PASSED [ 38%]
2022-05-18T03:51:09.1917554Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_gru_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:09.1918269Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:09.2253405Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:09.2253910Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:09.2639618Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:09.2640147Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:09.2980316Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:09.2981034Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:09.3104829Z PASSED [ 38%]
2022-05-18T03:51:09.3401164Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_gru_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:09.3401904Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:09.3739533Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:09.3740250Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:09.4125481Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:09.4126193Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:09.4466426Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:09.4467132Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:09.4593569Z PASSED [ 38%]
2022-05-18T03:51:09.4860787Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_gru_unilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:09.4972230Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:09.5033683Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:09.5310640Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:09.5420946Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:09.5483324Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:09.5527412Z PASSED [ 38%]
2022-05-18T03:51:09.5790307Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_gru_unilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:09.5901982Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:09.5964016Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:09.6238190Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:09.6347788Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:09.6409861Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:09.6452109Z PASSED [ 38%]
2022-05-18T03:51:09.6734749Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_gru_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:09.6735772Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:09.7043752Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:09.7044462Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:09.7397621Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:09.7398272Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:09.7700912Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:09.7701775Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:09.7805969Z PASSED [ 38%]
2022-05-18T03:51:09.8094323Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_gru_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:09.8095162Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:09.8400139Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:09.8400672Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:09.8753547Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:09.8754100Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:09.9056250Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:09.9056780Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:09.9156619Z PASSED [ 38%]
2022-05-18T03:51:09.9435180Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_gru_unilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:09.9435947Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:09.9737656Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:09.9738487Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:10.0080338Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:10.0080968Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:10.0382984Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:10.0383738Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:10.0480141Z PASSED [ 38%]
2022-05-18T03:51:10.0762100Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_gru_unilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:10.0762815Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:10.1064020Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:10.1064714Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:10.1411968Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:10.1412677Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:10.1714670Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:10.1715398Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:10.1812153Z PASSED [ 39%]
2022-05-18T03:51:10.2261933Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_gru_unilayer_forward_no_initial_state_without_sequence_lengths_with_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:10.2316513Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:10.2351488Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:10.2816374Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:10.2870120Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:10.2904185Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:10.2950532Z PASSED [ 39%]
2022-05-18T03:51:10.3396515Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_gru_unilayer_forward_no_initial_state_without_sequence_lengths_without_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:10.3452531Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:10.3486386Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:10.3947437Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:10.4001434Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:10.4035525Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:10.4081987Z PASSED [ 39%]
2022-05-18T03:51:10.4359375Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_gru_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:10.4360096Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:10.4644237Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:10.4644763Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:10.4975105Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:10.4975678Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:10.5260433Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:10.5260967Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:10.5347610Z PASSED [ 39%]
2022-05-18T03:51:10.5626330Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_gru_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:10.5627319Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:10.5910964Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:10.5911568Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:10.6245690Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:10.6246226Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:10.6531839Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:10.6532377Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:10.6617659Z PASSED [ 39%]
2022-05-18T03:51:10.6896346Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_gru_unilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:10.6897054Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:10.7185757Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:10.7186296Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:10.7514955Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:10.7515487Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:10.7804853Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:10.7805439Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:10.7887020Z PASSED [ 39%]
2022-05-18T03:51:10.8163585Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_gru_unilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:10.8164278Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:10.8447376Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:10.8447909Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:10.8782094Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:10.8783058Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:10.9066334Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:10.9066880Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:10.9145228Z PASSED [ 39%]
2022-05-18T03:51:10.9387024Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_gru_unilayer_forward_with_initial_state_without_sequence_lengths_with_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:10.9439802Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:10.9469548Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:10.9716825Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:10.9769652Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:10.9799573Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:10.9835888Z PASSED [ 39%]
2022-05-18T03:51:11.0080570Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_gru_unilayer_forward_with_initial_state_without_sequence_lengths_without_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:11.0134075Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:11.0164365Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:11.0420876Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:11.0473723Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:11.0504015Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:11.0541370Z PASSED [ 40%]
2022-05-18T03:51:11.1289140Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_gt PASSED [ 40%]
2022-05-18T03:51:11.1498819Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_gt_primitive PASSED [ 40%]
2022-05-18T03:51:11.1958089Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_gt_scalar PASSED [ 40%]
2022-05-18T03:51:11.2224257Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_hann_window_default_values PASSED [ 40%]
2022-05-18T03:51:11.2791530Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_hann_window_not_periodic PASSED [ 40%]
2022-05-18T03:51:11.3346724Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_hann_window_periodic PASSED [ 40%]
2022-05-18T03:51:11.4096940Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_hardshrink PASSED [ 40%]
2022-05-18T03:51:11.4605491Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_hardsigmoid PASSED [ 40%]
2022-05-18T03:51:11.5132739Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_hardswish PASSED [ 41%]
2022-05-18T03:51:11.5267793Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_hardswish_script PASSED [ 41%]
2022-05-18T03:51:11.5584708Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_hardtanh PASSED [ 41%]
2022-05-18T03:51:11.5758428Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_hardtanh_script_with_default_values PASSED [ 41%]
2022-05-18T03:51:11.9929672Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_heatmaps_to_keypoints PASSED [ 41%]
2022-05-18T03:51:12.5168492Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_if_fold PASSED [ 41%]
2022-05-18T03:51:12.5191721Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_if_list SKIPPED [ 41%]
2022-05-18T03:51:12.5213079Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_if_transpose SKIPPED [ 41%]
2022-05-18T03:51:12.5234078Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_if_view SKIPPED [ 42%]
2022-05-18T03:51:12.5255044Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_im2col SKIPPED [ 42%]
2022-05-18T03:51:12.5533539Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_index_1d PASSED [ 42%]
2022-05-18T03:51:12.6022552Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_index_2d_1dimslice PASSED [ 42%]
2022-05-18T03:51:12.6532485Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_index_2d_neg_slice PASSED [ 42%]
2022-05-18T03:51:12.6974983Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_index_2d_sliceint PASSED [ 42%]
2022-05-18T03:51:12.7064206Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_index_add_dim_size_differ Warning: ONNX Preprocess - Removing mutation from node aten::index_add_ on block input: 'x.1'. This changes graph semantics.
2022-05-18T03:51:12.7261809Z Warning: ONNX Preprocess - Removing mutation from node aten::index_add_ on block input: '0'. This changes graph semantics.
2022-05-18T03:51:12.7458350Z PASSED [ 42%]
2022-05-18T03:51:12.7547505Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_index_add_dynamic_axes Warning: ONNX Preprocess - Removing mutation from node aten::index_add_ on block input: 'x.1'. This changes graph semantics.
2022-05-18T03:51:12.7751776Z Warning: ONNX Preprocess - Removing mutation from node aten::index_add_ on block input: '0'. This changes graph semantics.
2022-05-18T03:51:12.7952708Z PASSED [ 42%]
2022-05-18T03:51:12.8056550Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_index_add_if Warning: ONNX Preprocess - Removing mutation from node aten::index_add_ on block input: 'x.1'. This changes graph semantics.
2022-05-18T03:51:12.8057183Z Warning: ONNX Preprocess - Removing mutation from node aten::index_add_ on block input: 'x.1'. This changes graph semantics.
2022-05-18T03:51:12.8272685Z PASSED [ 43%]
2022-05-18T03:51:12.8368719Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_index_add_in_loop Warning: ONNX Preprocess - Removing mutation from node aten::index_add_ on block input: 'x.1'. This changes graph semantics.
2022-05-18T03:51:12.8760820Z Warning: ONNX Preprocess - Removing mutation from node aten::index_add_ on block input: '0'. This changes graph semantics.
2022-05-18T03:51:12.9245740Z PASSED [ 43%]
2022-05-18T03:51:12.9334775Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_index_add_normal Warning: ONNX Preprocess - Removing mutation from node aten::index_add_ on block input: 'x.1'. This changes graph semantics.
2022-05-18T03:51:12.9547595Z Warning: ONNX Preprocess - Removing mutation from node aten::index_add_ on block input: '0'. This changes graph semantics.
2022-05-18T03:51:12.9797992Z Warning: ONNX Preprocess - Removing mutation from node aten::index_add_ on block input: 'x.1'. This changes graph semantics.
2022-05-18T03:51:12.9988711Z Warning: ONNX Preprocess - Removing mutation from node aten::index_add_ on block input: '0'. This changes graph semantics.
2022-05-18T03:51:13.0247322Z Warning: ONNX Preprocess - Removing mutation from node aten::index_add_ on block input: 'x.1'. This changes graph semantics.
2022-05-18T03:51:13.0461557Z Warning: ONNX Preprocess - Removing mutation from node aten::index_add_ on block input: '0'. This changes graph semantics.
2022-05-18T03:51:13.0673159Z PASSED [ 43%]
2022-05-18T03:51:13.1114611Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_index_copy PASSED [ 43%]
2022-05-18T03:51:13.1596026Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_index_fill PASSED [ 43%]
2022-05-18T03:51:13.2213123Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_index_mask PASSED [ 43%]
2022-05-18T03:51:13.2236156Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_index_mask_nd SKIPPED [ 43%]
2022-05-18T03:51:13.2257880Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_index_put SKIPPED [ 43%]
2022-05-18T03:51:13.2279156Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_index_put_accumulate SKIPPED [ 44%]
2022-05-18T03:51:13.2300509Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_index_put_ellipsis SKIPPED [ 44%]
2022-05-18T03:51:13.2321575Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_index_put_if SKIPPED [ 44%]
2022-05-18T03:51:13.2343216Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_index_put_if_2 SKIPPED [ 44%]
2022-05-18T03:51:13.2364175Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_index_put_if_3 SKIPPED [ 44%]
2022-05-18T03:51:13.2387429Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_index_put_if_4 SKIPPED [ 44%]
2022-05-18T03:51:13.2408547Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_index_put_if_5 SKIPPED [ 44%]
2022-05-18T03:51:13.2429861Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_index_put_inplace_ops SKIPPED [ 44%]
2022-05-18T03:51:13.2450901Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_index_put_loop SKIPPED [ 45%]
2022-05-18T03:51:13.2471955Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_index_put_singular SKIPPED [ 45%]
2022-05-18T03:51:13.2493467Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_index_put_slice_index SKIPPED [ 45%]
2022-05-18T03:51:13.2514574Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_index_put_to_masked_fill SKIPPED [ 45%]
2022-05-18T03:51:13.2535919Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_index_put_to_masked_scatter SKIPPED [ 45%]
2022-05-18T03:51:13.2843441Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_index_select_constant_scaler_index PASSED [ 45%]
2022-05-18T03:51:13.3208532Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_index_select_scaler_index PASSED [ 45%]
2022-05-18T03:51:13.3365458Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_initializer_sequence PASSED [ 45%]
2022-05-18T03:51:13.3890287Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_initializer_sequence_script_model PASSED [ 46%]
2022-05-18T03:51:13.3982500Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_inplace_arithmetic Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'x.1'. This changes graph semantics.
2022-05-18T03:51:13.3983144Z Warning: ONNX Preprocess - Removing mutation from node aten::mul_ on block input: 'y.1'. This changes graph semantics.
2022-05-18T03:51:13.4195738Z PASSED [ 46%]
2022-05-18T03:51:13.4301764Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_inplace_arithmetic_half Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'x.1'. This changes graph semantics.
2022-05-18T03:51:13.4445442Z Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: '0'. This changes graph semantics.
2022-05-18T03:51:13.4649900Z Warning: ONNX Preprocess - Removing mutation from node aten::mul_ on block input: 'x.1'. This changes graph semantics.
2022-05-18T03:51:13.4769191Z Warning: ONNX Preprocess - Removing mutation from node aten::mul_ on block input: '0'. This changes graph semantics.
2022-05-18T03:51:13.4877963Z PASSED [ 46%]
2022-05-18T03:51:13.4902130Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_inplace_attr_copy_with_loop SKIPPED [ 46%]
2022-05-18T03:51:13.4924217Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_inplace_attr_with_loop SKIPPED [ 46%]
2022-05-18T03:51:13.5030501Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_inplace_fill Warning: ONNX Preprocess - Removing mutation from node aten::fill_ on block input: 'x.1'. This changes graph semantics.
2022-05-18T03:51:13.5243635Z Warning: ONNX Preprocess - Removing mutation from node aten::fill_ on block input: '0'. This changes graph semantics.
2022-05-18T03:51:13.5518284Z Warning: ONNX Preprocess - Removing mutation from node aten::fill_ on block input: 'x.1'. This changes graph semantics.
2022-05-18T03:51:13.5719590Z Warning: ONNX Preprocess - Removing mutation from node aten::fill_ on block input: '0'. This changes graph semantics.
2022-05-18T03:51:13.5918232Z PASSED [ 46%]
2022-05-18T03:51:13.6017406Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_inplace_list Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'x.1'. This changes graph semantics.
2022-05-18T03:51:13.6018838Z Warning: ONNX Preprocess - Removing mutation from node aten::fill_ on block input: 'y.1'. This changes graph semantics.
2022-05-18T03:51:13.6408730Z Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'x.1'. This changes graph semantics.
2022-05-18T03:51:13.6409733Z Warning: ONNX Preprocess - Removing mutation from node aten::fill_ on block input: 'y.1'. This changes graph semantics.
2022-05-18T03:51:13.6747270Z PASSED [ 46%]
2022-05-18T03:51:13.6771892Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_inplace_sequence_with_loop SKIPPED [ 46%]
2022-05-18T03:51:13.7271717Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_inplace_with_loop PASSED [ 47%]
2022-05-18T03:51:14.0243991Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_inplace_with_loop_2 PASSED [ 47%]
2022-05-18T03:51:14.0351166Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_inplace_zero Warning: ONNX Preprocess - Removing mutation from node aten::zero_ on block input: 'x.1'. This changes graph semantics.
2022-05-18T03:51:14.0537153Z Warning: ONNX Preprocess - Removing mutation from node aten::zero_ on block input: '0'. This changes graph semantics.
2022-05-18T03:51:14.0780499Z Warning: ONNX Preprocess - Removing mutation from node aten::zero_ on block input: 'x.1'. This changes graph semantics.
2022-05-18T03:51:14.0951727Z Warning: ONNX Preprocess - Removing mutation from node aten::zero_ on block input: '0'. This changes graph semantics.
2022-05-18T03:51:14.1117990Z PASSED [ 47%]
2022-05-18T03:51:14.1141361Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_input_mask_model SKIPPED [ 47%]
2022-05-18T03:51:14.2991410Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_instancenorm1d_norunningstats PASSED [ 47%]
2022-05-18T03:51:14.4601054Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_instancenorm1d_runningstats PASSED [ 47%]
2022-05-18T03:51:14.6769262Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_instancenorm2d_norunningstats PASSED [ 47%]
2022-05-18T03:51:14.8708311Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_instancenorm2d_runningstats PASSED [ 47%]
2022-05-18T03:51:22.5844904Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_instancenorm3d_norunningstats PASSED [ 48%]
2022-05-18T03:51:30.5512438Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_instancenorm3d_runningstats PASSED [ 48%]
2022-05-18T03:51:31.5407890Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_instancenorm_eval_mode_train_layer PASSED [ 48%]
2022-05-18T03:51:32.2108649Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_instancenorm_training PASSED [ 48%]
2022-05-18T03:51:32.8834112Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_instancenorm_training_mode_fix_layer PASSED [ 48%]
2022-05-18T03:51:32.8950345Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_interpolate_adaptive_pooling_error WARNING: The shape inference of aten::adaptive_avg_pool1d type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:32.8951465Z WARNING: The shape inference of aten::adaptive_avg_pool1d type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:32.8953699Z WARNING: The shape inference of aten::adaptive_avg_pool1d type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:32.8954880Z WARNING: The shape inference of aten::adaptive_avg_pool1d type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:51:32.9383298Z PASSED [ 48%]
2022-05-18T03:51:33.4715350Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_interpolate_downsample PASSED [ 48%]
2022-05-18T03:51:33.5474952Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_interpolate_function_substitution PASSED [ 48%]
2022-05-18T03:51:33.5498902Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_interpolate_no_shape SKIPPED [ 49%]
2022-05-18T03:51:34.0815502Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_interpolate_upsample PASSED [ 49%]
2022-05-18T03:51:34.0838288Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_interpolate_upsample_trace SKIPPED [ 49%]
2022-05-18T03:51:34.1058685Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_isfinite PASSED [ 49%]
2022-05-18T03:51:34.1260826Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_isinf PASSED [ 49%]
2022-05-18T03:51:34.1455724Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_isnan PASSED [ 49%]
2022-05-18T03:51:34.1695382Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_item PASSED [ 49%]
2022-05-18T03:51:34.1714051Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_keypoint_rcnn SKIPPED [ 49%]
2022-05-18T03:51:34.7794032Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_kldiv_loss PASSED [ 50%]
2022-05-18T03:51:34.8142335Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_l1_norm PASSED [ 50%]
2022-05-18T03:51:34.8475719Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_l2_norm PASSED [ 50%]
2022-05-18T03:52:10.5816146Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_large_model_with_external_data PASSED [ 50%]
2022-05-18T03:52:35.4727538Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_large_model_with_non_str_file PASSED [ 50%]
2022-05-18T03:52:35.5305827Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_layer_norm PASSED [ 50%]
2022-05-18T03:52:35.6538969Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_le PASSED [ 50%]
2022-05-18T03:52:35.7026912Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_le_scalar PASSED [ 50%]
2022-05-18T03:52:35.7051490Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_len SKIPPED [ 51%]
2022-05-18T03:52:35.7262978Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_len_list PASSED [ 51%]
2022-05-18T03:52:35.8402243Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_linalg_cross PASSED [ 51%]
2022-05-18T03:52:36.3610983Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_linalg_matrix_norm PASSED [ 51%]
2022-05-18T03:52:37.1956237Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_linalg_norm PASSED [ 51%]
2022-05-18T03:52:37.8798424Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_linalg_vector_norm PASSED [ 51%]
2022-05-18T03:52:37.8821773Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_linalg_vector_norm_zero SKIPPED [ 51%]
2022-05-18T03:52:37.9570937Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_linear PASSED [ 51%]
2022-05-18T03:52:37.9982226Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_linspace PASSED [ 52%]
2022-05-18T03:52:38.0395243Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_linspace_negative_start PASSED [ 52%]
2022-05-18T03:52:38.0417764Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_list SKIPPED [ 52%]
2022-05-18T03:52:38.0439314Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_list_append SKIPPED [ 52%]
2022-05-18T03:52:38.0460617Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_list_append_in_block SKIPPED [ 52%]
2022-05-18T03:52:38.0481956Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_list_append_in_nested_block SKIPPED [ 52%]
2022-05-18T03:52:38.0503350Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_list_append_nested SKIPPED [ 52%]
2022-05-18T03:52:38.0524609Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_list_append_nested_2 SKIPPED [ 52%]
2022-05-18T03:52:38.0546106Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_list_append_nested_mixed_dtype SKIPPED [ 53%]
2022-05-18T03:52:38.0569175Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_list_del SKIPPED [ 53%]
2022-05-18T03:52:38.0590539Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_list_del_in_block SKIPPED [ 53%]
2022-05-18T03:52:38.0611602Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_list_del_nested SKIPPED [ 53%]
2022-05-18T03:52:38.0632956Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_list_idx_sum SKIPPED [ 53%]
2022-05-18T03:52:38.6524819Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_list_pass PASSED [ 53%]
2022-05-18T03:52:38.6548257Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_list_pop SKIPPED [ 53%]
2022-05-18T03:52:38.6570121Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_list_pop_in_block SKIPPED [ 53%]
2022-05-18T03:52:38.6591654Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_list_pop_nested SKIPPED [ 54%]
2022-05-18T03:52:38.6612852Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_list_set SKIPPED [ 54%]
2022-05-18T03:52:38.6634330Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_list_unpack SKIPPED [ 54%]
2022-05-18T03:52:38.7771391Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_listunpack PASSED [ 54%]
2022-05-18T03:52:38.7974168Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_log PASSED [ 54%]
2022-05-18T03:52:38.8186200Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_log10 PASSED [ 54%]
2022-05-18T03:52:38.8400251Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_log1p PASSED [ 54%]
2022-05-18T03:52:38.8422543Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_logdet SKIPPED [ 54%]
2022-05-18T03:52:38.9274228Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_logical_and PASSED [ 55%]
2022-05-18T03:52:39.0121727Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_logical_or PASSED [ 55%]
2022-05-18T03:52:39.0966834Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_logical_xor PASSED [ 55%]
2022-05-18T03:52:39.2295681Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_logsoftmax PASSED [ 55%]
2022-05-18T03:52:39.4095282Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_logsoftmax_dim PASSED [ 55%]
2022-05-18T03:52:39.4426171Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_logsoftmax_dtype PASSED [ 55%]
2022-05-18T03:52:39.5051305Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_loop_dynamic PASSED [ 55%]
2022-05-18T03:52:39.5075605Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_loop_multi_dim SKIPPED [ 55%]
2022-05-18T03:52:39.6088638Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_loop_nested PASSED [ 56%]
2022-05-18T03:52:39.6113084Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_loop_transpose SKIPPED [ 56%]
2022-05-18T03:52:39.6135330Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_loop_with_list SKIPPED [ 56%]
2022-05-18T03:52:39.7392185Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_lower_tuple PASSED [ 56%]
2022-05-18T03:52:39.7593704Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_lower_tuple_2 PASSED [ 56%]
2022-05-18T03:52:39.8945499Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_lower_tuple_3 PASSED [ 56%]
2022-05-18T03:52:40.0571459Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_lstm WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:40.0652103Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:40.0726733Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:40.1017822Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:40.1071099Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:40.1102136Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:40.1144506Z PASSED [ 56%]
2022-05-18T03:52:40.1564814Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_lstm_cell WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:40.1646281Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:40.1703397Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:40.2655942Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:40.2678551Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:40.2707502Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:40.2719492Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:40.2751436Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:40.2753277Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:40.3316870Z PASSED [ 56%]
2022-05-18T03:52:40.5219014Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_lstm_constant_folding WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:40.5504452Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:40.5678456Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:40.6047867Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:40.6300297Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:40.6443309Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:40.8290375Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:40.8516210Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:40.8662306Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:40.9028237Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:40.9216233Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:40.9322380Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:40.9416197Z PASSED [ 57%]
2022-05-18T03:52:41.0858522Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_lstm_default_init_state WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:41.0941266Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:41.1012340Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:41.1686252Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:41.1740672Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:41.1778727Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:41.1844036Z PASSED [ 57%]
2022-05-18T03:52:41.3325929Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_lstm_fixed_batch_size WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:41.3406363Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:41.3481393Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:41.4145032Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:41.4198385Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:41.4228320Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:41.4280717Z PASSED [ 57%]
2022-05-18T03:52:41.5916676Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_lstm_no_bias WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:41.5966364Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:41.6003190Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:41.6026712Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:41.6087261Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:41.6087818Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:41.6384341Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:41.6429270Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:41.6443319Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:41.6467884Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:41.6476440Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:41.6477021Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:41.8052432Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:41.8077470Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:41.8106270Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:41.8117956Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:41.8173618Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:41.8174332Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:41.8455331Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:41.8478475Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:41.8485114Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:41.8496868Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:41.8502002Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:41.8502579Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:42.0256836Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:42.0306803Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:42.0372415Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:42.0427684Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:42.0451129Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:42.0481058Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:42.0555063Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:42.0555637Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:42.0561059Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:42.0909818Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:42.0955747Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:42.1015361Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:42.1046144Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:42.1072607Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:42.1106403Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:42.1121666Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:42.1122156Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:42.1128287Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:42.2825140Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:42.2849780Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:42.2884609Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:42.2919507Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:42.2966173Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:42.2978348Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:42.2994569Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:42.3010729Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:42.3078008Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:42.3078509Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:42.3085047Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:42.3089486Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:42.3427421Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:42.3450536Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:42.3482993Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:42.3515256Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:42.3538628Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:42.3551408Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:42.3569369Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:42.3587052Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:42.3599241Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:42.3600058Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:42.3605037Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:42.3609773Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:42.3690684Z PASSED [ 57%]
2022-05-18T03:52:42.5426303Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_lstm_no_hidden WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:42.5511303Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:42.5586201Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:42.6272037Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:42.6326962Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:42.6367670Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:42.6437364Z PASSED [ 57%]
2022-05-18T03:52:42.7917885Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_lstm_post_fix_init_state WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:42.8009049Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:42.8088360Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:42.8761400Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:42.8821149Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:42.8855648Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:42.8921944Z PASSED [ 57%]
2022-05-18T03:52:43.0751293Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_lstm_proj_no_hidden WARNING: The shape inference of aten::lstm type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:43.0752432Z WARNING: The shape inference of aten::lstm type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:43.0753293Z WARNING: The shape inference of aten::lstm type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:43.0799113Z WARNING: The shape inference of aten::lstm type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:43.0799996Z WARNING: The shape inference of aten::lstm type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:43.0815253Z WARNING: The shape inference of aten::lstm type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:43.0824805Z PASSED [ 57%]
2022-05-18T03:52:43.3910312Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_lstm_sequence WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:43.4290749Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:43.4485606Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:43.4542307Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:43.4725684Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:43.4734216Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:43.5691569Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:43.6355745Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:43.6519004Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:43.6592064Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:43.6676311Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:43.6686839Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:43.6789121Z PASSED [ 57%]
2022-05-18T03:52:43.7178278Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_lstm_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:43.7179027Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:43.7830063Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:43.7830611Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:43.8672895Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:43.8673454Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:43.9330035Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:43.9330550Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:43.9815185Z PASSED [ 58%]
2022-05-18T03:52:44.0207543Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_lstm_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:44.0208266Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:44.0876302Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:44.0876835Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:44.1731588Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:44.1732136Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:44.2386315Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:44.2386837Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:44.2875217Z PASSED [ 58%]
2022-05-18T03:52:44.3264818Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_lstm_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:44.3265513Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:44.3922328Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:44.3922863Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:44.4757182Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:44.4757731Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:44.5411326Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:44.5411839Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:44.5888988Z PASSED [ 58%]
2022-05-18T03:52:44.6276692Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_lstm_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:44.6277671Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:44.6930054Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:44.6930736Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:44.7760644Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:44.7761556Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:44.8412683Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:44.8413363Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:44.8888505Z PASSED [ 58%]
2022-05-18T03:52:44.9620243Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_lstm_trilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:45.0013308Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:45.0281216Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:45.1135914Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:45.1534249Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:45.1803828Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:45.1957274Z PASSED [ 58%]
2022-05-18T03:52:45.2695398Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_lstm_trilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:45.3087899Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:45.3357154Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:45.4207298Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:45.4600357Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:45.4870259Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:45.5021427Z PASSED [ 58%]
2022-05-18T03:52:45.5405772Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_lstm_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:45.5406499Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:45.6021298Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:45.6022254Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:45.6774349Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:45.6775539Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:45.7392984Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:45.7393939Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:45.7795003Z PASSED [ 58%]
2022-05-18T03:52:45.8177035Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_lstm_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:45.8178486Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:45.8794108Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:45.8795091Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:45.9543012Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:45.9544005Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:46.0159967Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:46.0161232Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:46.0563845Z PASSED [ 58%]
2022-05-18T03:52:46.0945565Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_lstm_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:46.0946887Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:46.1562769Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:46.1563906Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:46.2313561Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:46.2314579Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:46.2934907Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:46.2935815Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:46.3333563Z PASSED [ 59%]
2022-05-18T03:52:46.3714154Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_lstm_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:46.3715490Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:46.4325912Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:46.4326856Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:46.5067096Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:46.5068092Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:46.5680740Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:46.5681701Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:46.6077148Z PASSED [ 59%]
2022-05-18T03:52:46.6439199Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_lstm_trilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:46.6826494Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:46.7066579Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:46.7499754Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:46.7886237Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:46.8126675Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:46.8231694Z PASSED [ 59%]
2022-05-18T03:52:46.8592536Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_lstm_trilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:46.8977844Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:46.9217322Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:46.9653136Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:47.0040496Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:47.0279257Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:47.0384495Z PASSED [ 59%]
2022-05-18T03:52:47.0720825Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_lstm_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:47.0721612Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:47.1186676Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:47.1187194Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:47.1811544Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:47.1812322Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:47.2282548Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:47.2283073Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:47.2604420Z PASSED [ 59%]
2022-05-18T03:52:47.2945969Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_lstm_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:47.2946922Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:47.3412066Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:47.3412608Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:47.4033576Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:47.4034117Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:47.4500187Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:47.4500696Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:47.4818764Z PASSED [ 59%]
2022-05-18T03:52:47.5151682Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_lstm_trilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:47.5152447Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:47.5617969Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:47.5618486Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:47.6229929Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:47.6230675Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:47.6694500Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:47.6695382Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:47.7003451Z PASSED [ 59%]
2022-05-18T03:52:47.7337674Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_lstm_trilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:47.7338377Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:47.7803083Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:47.7803820Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:47.8411031Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:47.8411616Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:47.8877623Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:47.8878183Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:47.9185342Z PASSED [ 59%]
2022-05-18T03:52:47.9861500Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_lstm_trilayer_forward_no_initial_state_without_sequence_lengths_with_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:48.0054675Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:48.0189001Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:48.0974820Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:48.1167643Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:48.1302093Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:48.1440258Z PASSED [ 60%]
2022-05-18T03:52:48.2118454Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_lstm_trilayer_forward_no_initial_state_without_sequence_lengths_without_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:48.2311999Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:48.2446145Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:48.3231795Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:48.3426957Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:48.3562055Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:48.3701638Z PASSED [ 60%]
2022-05-18T03:52:48.4032331Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_lstm_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:48.4033036Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:48.4461174Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:48.4461708Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:48.4991244Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:48.4991852Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:48.5418913Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:48.5419719Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:48.5655402Z PASSED [ 60%]
2022-05-18T03:52:48.5982960Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_lstm_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:48.5983641Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:48.6415236Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:48.6415779Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:48.6945637Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:48.6946379Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:48.7372379Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:48.7372963Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:48.7608036Z PASSED [ 60%]
2022-05-18T03:52:48.7935301Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_lstm_trilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:48.7936196Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:48.8362519Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:48.8363051Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:48.8884981Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:48.8885535Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:48.9312488Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:48.9313005Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:48.9541370Z PASSED [ 60%]
2022-05-18T03:52:48.9867532Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_lstm_trilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:48.9868229Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:49.0297441Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:49.0297964Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:49.0822044Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:49.0822580Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:49.1249261Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:49.1249812Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:49.1481190Z PASSED [ 60%]
2022-05-18T03:52:49.1795407Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_lstm_trilayer_forward_with_initial_state_without_sequence_lengths_with_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:49.1985781Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:49.2093591Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:49.2466801Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:49.2657209Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:49.2764220Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:49.2857450Z PASSED [ 60%]
2022-05-18T03:52:49.3168564Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_lstm_trilayer_forward_with_initial_state_without_sequence_lengths_without_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:49.3356929Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:49.3463887Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:49.3833808Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:49.4023556Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:49.4130681Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:49.4224776Z PASSED [ 60%]
2022-05-18T03:52:49.4549050Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_lstm_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:49.4549793Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:49.4950856Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:49.4951615Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:49.5415711Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:49.5416239Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:49.5815910Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:49.5816424Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:49.5992249Z PASSED [ 60%]
2022-05-18T03:52:49.6317088Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_lstm_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:49.6317790Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:49.6710537Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:49.6711062Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:49.7175897Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:49.7176435Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:49.7571420Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:49.7571961Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:49.7742902Z PASSED [ 61%]
2022-05-18T03:52:49.8060649Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_lstm_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:49.8061391Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:49.8453157Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:49.8453824Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:49.8905512Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:49.8906291Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:49.9298157Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:49.9298831Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:49.9464714Z PASSED [ 61%]
2022-05-18T03:52:49.9786527Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_lstm_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:49.9787486Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:50.0179745Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:50.0180547Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:50.0636248Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:50.0637243Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:50.1029439Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:50.1030385Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:50.1196059Z PASSED [ 61%]
2022-05-18T03:52:50.1855199Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_lstm_unilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:50.1967497Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:50.2039635Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:50.2743246Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:50.2856318Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:50.2927928Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:50.3001714Z PASSED [ 61%]
2022-05-18T03:52:50.3663441Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_lstm_unilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:50.3775300Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:50.3846160Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:50.4547882Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:50.4661916Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:50.4734115Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:50.4806844Z PASSED [ 61%]
2022-05-18T03:52:50.5121418Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_lstm_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:50.5122134Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:50.5478182Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:50.5478942Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:50.5896281Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:50.5896850Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:50.6249964Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:50.6250680Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:50.6385298Z PASSED [ 61%]
2022-05-18T03:52:50.6696877Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_lstm_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:50.6697602Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:50.7050733Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:50.7051484Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:50.7469171Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:50.7469848Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:50.7823998Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:50.7824678Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:50.7961414Z PASSED [ 61%]
2022-05-18T03:52:50.8272591Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_lstm_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:50.8273301Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:50.8628436Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:50.8629184Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:50.9038203Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:50.9038896Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:50.9391937Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:50.9392639Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:50.9521925Z PASSED [ 61%]
2022-05-18T03:52:50.9831766Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_lstm_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:50.9832486Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:51.0186707Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:51.0187415Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:51.0595523Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:51.0596180Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:51.0951155Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:51.0951936Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:51.1079959Z PASSED [ 62%]
2022-05-18T03:52:51.1372448Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_lstm_unilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:51.1481631Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:51.1544245Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:51.1854400Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:51.1971026Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:51.2033079Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:51.2082480Z PASSED [ 62%]
2022-05-18T03:52:51.2377944Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_lstm_unilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:51.2488222Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:51.2550376Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:51.2859987Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:51.2970691Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:51.3033731Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:51.3080657Z PASSED [ 62%]
2022-05-18T03:52:51.3383575Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_lstm_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:51.3384434Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:51.3721679Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:51.3722585Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:51.4118972Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:51.4119508Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:51.4457429Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:51.4457940Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:51.4588329Z PASSED [ 62%]
2022-05-18T03:52:51.4890117Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_lstm_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:51.4890816Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:51.5229977Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:51.5230496Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:51.5634191Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:51.5634717Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:51.5972397Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:51.5972988Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:51.6101754Z PASSED [ 62%]
2022-05-18T03:52:51.6403394Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_lstm_unilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:51.6404112Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:51.6746215Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:51.6746881Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:51.7136104Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:51.7136774Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:51.7473380Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:51.7474282Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:51.7593836Z PASSED [ 62%]
2022-05-18T03:52:51.7893279Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_lstm_unilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:51.7893985Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:51.8231922Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:51.8232620Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:51.8619556Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:51.8620288Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:51.8957279Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:51.8957951Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:51.9070478Z PASSED [ 62%]
2022-05-18T03:52:51.9708086Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_lstm_unilayer_forward_no_initial_state_without_sequence_lengths_with_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:51.9761950Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:51.9800086Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:52.0463312Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:52.0518029Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:52.0556441Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:52.0618062Z PASSED [ 62%]
2022-05-18T03:52:52.1255229Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_lstm_unilayer_forward_no_initial_state_without_sequence_lengths_without_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:52.1315570Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:52.1354234Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:52.2018863Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:52.2073005Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:52.2115350Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:52.2173529Z PASSED [ 63%]
2022-05-18T03:52:52.2465654Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_lstm_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:52.2466352Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:52.2765411Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:52.2765941Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:52.3113330Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:52.3113875Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:52.3417416Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:52.3417938Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:52.3503710Z PASSED [ 63%]
2022-05-18T03:52:52.3796296Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_lstm_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:52.3797183Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:52.4099445Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:52.4099992Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:52.4450821Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:52.4451594Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:52.4751228Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:52.4751798Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:52.4838847Z PASSED [ 63%]
2022-05-18T03:52:52.5133478Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_lstm_unilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:52.5134979Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:52.5435859Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:52.5436841Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:52.5783316Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:52.5784329Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:52.6087876Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:52.6088872Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:52.6172762Z PASSED [ 63%]
2022-05-18T03:52:52.6468526Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_lstm_unilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:52.6470129Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:52.6772193Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:52.6773147Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:52.7118288Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:52.7119282Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:52.7419903Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:52.7421099Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:52.7502557Z PASSED [ 63%]
2022-05-18T03:52:52.7778143Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_lstm_unilayer_forward_with_initial_state_without_sequence_lengths_with_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:52.7830975Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:52.7861430Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:52.8145393Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:52.8198707Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:52.8228752Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:52.8267894Z PASSED [ 63%]
2022-05-18T03:52:52.8542743Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_lstm_unilayer_forward_with_initial_state_without_sequence_lengths_without_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:52.8595738Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:52.8625913Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:52.8909024Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:52.8961527Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:52.8991883Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:52:52.9028262Z PASSED [ 63%]
2022-05-18T03:52:52.9765940Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_lt PASSED [ 63%]
2022-05-18T03:52:53.0223885Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_lt_scalar PASSED [ 64%]
2022-05-18T03:52:53.0246121Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_mask_rcnn SKIPPED [ 64%]
2022-05-18T03:52:53.0883017Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_masked_fill PASSED [ 64%]
2022-05-18T03:52:53.0971351Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_masked_fill_inplace Warning: ONNX Preprocess - Removing mutation from node aten::masked_fill_ on block input: 'x.1'. This changes graph semantics.
2022-05-18T03:52:53.1164186Z Warning: ONNX Preprocess - Removing mutation from node aten::masked_fill_ on block input: 'x.1'. This changes graph semantics.
2022-05-18T03:52:53.1322985Z PASSED [ 64%]
2022-05-18T03:52:53.1345782Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_masked_scatter SKIPPED [ 64%]
2022-05-18T03:52:53.1367156Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_masked_select SKIPPED [ 64%]
2022-05-18T03:52:53.1754623Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_matmul PASSED [ 64%]
2022-05-18T03:52:53.2141873Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_matmul_batch PASSED [ 64%]
2022-05-18T03:52:53.2732563Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_max_int PASSED [ 65%]
2022-05-18T03:52:53.2939207Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_max_tensors PASSED [ 65%]
2022-05-18T03:52:53.3190673Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_maximum_minimum PASSED [ 65%]
2022-05-18T03:52:53.3632347Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_maxpool PASSED [ 65%]
2022-05-18T03:52:53.4042932Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_maxpool_1d_ceil PASSED [ 65%]
2022-05-18T03:52:53.4485246Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_maxpool_2d PASSED [ 65%]
2022-05-18T03:52:53.5004071Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_maxpool_2d_ceil PASSED [ 65%]
2022-05-18T03:52:54.2001849Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_maxpool_3d_ceil PASSED [ 65%]
2022-05-18T03:52:54.2338972Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_maxpool_adaptive PASSED [ 66%]
2022-05-18T03:52:54.2786737Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_maxpool_default_stride PASSED [ 66%]
2022-05-18T03:52:54.3191014Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_maxpool_dilation PASSED [ 66%]
2022-05-18T03:52:54.3698691Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_maxpool_with_indices PASSED [ 66%]
2022-05-18T03:52:54.4124499Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_meshgrid PASSED [ 66%]
2022-05-18T03:52:54.4541691Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_meshgrid_scalar PASSED [ 66%]
2022-05-18T03:52:54.5133904Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_min_int PASSED [ 66%]
2022-05-18T03:52:54.5159240Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_minimum_dtypes SKIPPED [ 66%]
2022-05-18T03:52:54.5425776Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_mish PASSED [ 67%]
2022-05-18T03:52:54.5449588Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_mixed_optional SKIPPED [ 67%]
2022-05-18T03:52:54.5471759Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_mixed_optional_default_none SKIPPED [ 67%]
2022-05-18T03:52:54.5493463Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_mixed_optional_default_tensor SKIPPED [ 67%]
2022-05-18T03:52:54.5514946Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_mixed_optional_default_tensor_script SKIPPED [ 67%]
2022-05-18T03:52:59.0352692Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_mobilenet_v3 PASSED [ 67%]
2022-05-18T03:52:59.0371913Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_mobilenet_v3_quant SKIPPED [ 67%]
2022-05-18T03:52:59.2261057Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_mod_with_low_precision PASSED [ 67%]
2022-05-18T03:52:59.2283970Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_multi_scale_roi_align SKIPPED [ 68%]
2022-05-18T03:52:59.2926272Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_multinomial PASSED [ 68%]
2022-05-18T03:52:59.5542051Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_multiple_conv_bn Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'bn.num_batches_tracked'. This changes graph semantics.
2022-05-18T03:52:59.5543304Z Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'bn2.num_batches_tracked'. This changes graph semantics.
2022-05-18T03:52:59.9598767Z PASSED [ 68%]
2022-05-18T03:52:59.9623416Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_multiple_dynamic_repeat_interleave SKIPPED [ 68%]
2022-05-18T03:53:00.0025225Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_mv PASSED [ 68%]
2022-05-18T03:53:00.1475694Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_nan_to_num PASSED [ 68%]
2022-05-18T03:53:00.1790976Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_narrow PASSED [ 68%]
2022-05-18T03:53:00.1813418Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_narrow_dynamic SKIPPED [ 68%]
2022-05-18T03:53:00.2540878Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_nested_tuple_input PASSED [ 69%]
2022-05-18T03:53:00.2749224Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_nested_tuple_output PASSED [ 69%]
2022-05-18T03:53:00.4740626Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_new_empty PASSED [ 69%]
2022-05-18T03:53:00.6363532Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_new_full PASSED [ 69%]
2022-05-18T03:53:00.7778300Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_new_ones PASSED [ 69%]
2022-05-18T03:53:00.9210176Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_new_zeros PASSED [ 69%]
2022-05-18T03:53:00.9233842Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_nllloss SKIPPED [ 69%]
2022-05-18T03:53:00.9255429Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_nllloss_2d_mean SKIPPED [ 69%]
2022-05-18T03:53:00.9276478Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_nllloss_2d_mean_ignore_index SKIPPED [ 70%]
2022-05-18T03:53:00.9297485Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_nllloss_2d_mean_ignore_index_weights SKIPPED [ 70%]
2022-05-18T03:53:00.9318307Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_nllloss_2d_mean_weights SKIPPED [ 70%]
2022-05-18T03:53:00.9341344Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_nllloss_2d_none SKIPPED [ 70%]
2022-05-18T03:53:00.9362308Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_nllloss_2d_sum SKIPPED [ 70%]
2022-05-18T03:53:00.9383507Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_nllloss_dynamic_ignore_index SKIPPED [ 70%]
2022-05-18T03:53:00.9404496Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_nms SKIPPED [ 70%]
2022-05-18T03:53:00.9529633Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_nonzero PASSED [ 70%]
2022-05-18T03:53:01.0099082Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_normalize PASSED [ 71%]
2022-05-18T03:53:01.0361900Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_numel PASSED [ 71%]
2022-05-18T03:53:01.0621142Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_numel_empty PASSED [ 71%]
2022-05-18T03:53:01.1370797Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_one_hot PASSED [ 71%]
2022-05-18T03:53:01.2086305Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_ones_bool PASSED [ 71%]
2022-05-18T03:53:01.2186469Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_onnx_checker_invalid_graph PASSED [ 71%]
2022-05-18T03:53:01.2282522Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_onnx_proto_checker PASSED [ 71%]
2022-05-18T03:53:01.2306120Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_outer SKIPPED [ 71%]
2022-05-18T03:53:01.2635190Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_pad_int PASSED [ 72%]
2022-05-18T03:53:01.2656775Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_pad_types SKIPPED [ 72%]
2022-05-18T03:53:01.3014811Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_pairwise_distance PASSED [ 72%]
2022-05-18T03:53:01.5415458Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_paste_mask_in_image PASSED [ 72%]
2022-05-18T03:53:01.5996694Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_pixel_shuffle PASSED [ 72%]
2022-05-18T03:53:01.6552382Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_pixel_unshuffle PASSED [ 72%]
2022-05-18T03:53:01.8336012Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_pow PASSED [ 72%]
2022-05-18T03:53:01.8582802Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_prelu PASSED [ 72%]
2022-05-18T03:53:01.8771376Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_prelu_scalar PASSED [ 73%]
2022-05-18T03:53:01.8793346Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_prim_min SKIPPED [ 73%]
2022-05-18T03:53:01.8935552Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_primitive_input_bool PASSED [ 73%]
2022-05-18T03:53:01.9171488Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_primitive_input_floating PASSED [ 73%]
2022-05-18T03:53:01.9417865Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_primitive_input_integer PASSED [ 73%]
2022-05-18T03:53:01.9440400Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_qat_conv2d SKIPPED [ 73%]
2022-05-18T03:53:01.9461674Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_qat_conv2d_relu SKIPPED [ 73%]
2022-05-18T03:53:01.9482386Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_qat_conv2d_relu_fused SKIPPED [ 73%]
2022-05-18T03:53:01.9503256Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_qat_linear_per_channel SKIPPED [ 74%]
2022-05-18T03:53:01.9927591Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_qat_maxpool2d WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:53:01.9953421Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:53:02.0157630Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:53:02.0282023Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:53:02.0385143Z PASSED [ 74%]
2022-05-18T03:53:02.0408944Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_qat_relu SKIPPED [ 74%]
2022-05-18T03:53:02.0637613Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_quantize_per_tensor WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:53:02.0659686Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:53:02.0863088Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:53:02.0988939Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:53:02.1050337Z PASSED [ 74%]
2022-05-18T03:53:02.1281857Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_quantized_adaptive_avg_pool2d WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:53:02.1586048Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:53:02.1655435Z PASSED [ 74%]
2022-05-18T03:53:02.1971076Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_quantized_arithmetic WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:53:02.2002184Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:53:02.2392642Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:53:02.2436958Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:53:02.2548330Z PASSED [ 74%]
2022-05-18T03:53:02.2819990Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_quantized_arithmetic_qfunctional WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:53:02.2852681Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:53:02.2937245Z PASSED [ 74%]
2022-05-18T03:53:02.3652144Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_quantized_conv2d WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:53:02.3663967Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:53:02.4472020Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:53:02.4483407Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:53:02.4590403Z PASSED [ 74%]
2022-05-18T03:53:02.5185051Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_quantized_conv2d_relu WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:53:02.5197922Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:53:02.6008206Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:53:02.6019704Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:53:02.6134191Z PASSED [ 75%]
2022-05-18T03:53:02.6327787Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_quantized_flatten WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:53:02.6558838Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:53:02.6623630Z PASSED [ 75%]
2022-05-18T03:53:02.6742206Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_quantized_hardsigmoid WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:53:02.6910532Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:53:02.6965227Z PASSED [ 75%]
2022-05-18T03:53:02.7167633Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_quantized_hardswish WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:53:02.7394854Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:53:02.7453074Z PASSED [ 75%]
2022-05-18T03:53:02.7885397Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_quantized_linear WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:53:02.7897779Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:53:02.8459491Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:53:02.8471756Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:53:02.8559061Z PASSED [ 75%]
2022-05-18T03:53:02.9680321Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_random PASSED [ 75%]
2022-05-18T03:53:03.0918436Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_random_dynamic_size PASSED [ 75%]
2022-05-18T03:53:03.2251825Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_random_like PASSED [ 75%]
2022-05-18T03:53:03.4059348Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_random_like_dtype PASSED [ 76%]
2022-05-18T03:53:03.4603903Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_reciprocal PASSED [ 76%]
2022-05-18T03:53:03.5097632Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_reduce_log_sum_exp PASSED [ 76%]
2022-05-18T03:53:03.5702948Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_reduced_mean PASSED [ 76%]
2022-05-18T03:53:03.7187623Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_reduced_min_max PASSED [ 76%]
2022-05-18T03:53:03.8968641Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_reduced_prod PASSED [ 76%]
2022-05-18T03:53:04.1299774Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_reduced_sum PASSED [ 76%]
2022-05-18T03:53:04.1857163Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_reduced_sum_dtypes PASSED [ 76%]
2022-05-18T03:53:04.2432165Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_reflection_pad PASSED [ 77%]
2022-05-18T03:53:04.2763629Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_relu6 PASSED [ 77%]
2022-05-18T03:53:04.2953340Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_relu_int PASSED [ 77%]
2022-05-18T03:53:04.4013106Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_remainder PASSED [ 77%]
2022-05-18T03:53:04.4553860Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_remainder_scalar PASSED [ 77%]
2022-05-18T03:53:04.5144908Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_repeat PASSED [ 77%]
2022-05-18T03:53:04.7840614Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_repeat_interleave PASSED [ 77%]
2022-05-18T03:53:04.8297933Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_repeat_interleave_noop PASSED [ 77%]
2022-05-18T03:53:04.8872131Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_replication_pad PASSED [ 78%]
2022-05-18T03:53:04.8890471Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_reshape_allowzero SKIPPED [ 78%]
2022-05-18T03:53:04.9168494Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_reshape_constant_fold PASSED [ 78%]
2022-05-18T03:53:04.9422087Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_reshape_different_rank PASSED [ 78%]
2022-05-18T03:53:04.9443821Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_resize_images SKIPPED [ 78%]
2022-05-18T03:53:04.9695056Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_rnn_no_bias WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:53:04.9697677Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:53:04.9702791Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:53:04.9704448Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:53:04.9708893Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:53:04.9709748Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:53:04.9953860Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:53:04.9956687Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:53:04.9965496Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:53:04.9974216Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:53:04.9986114Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:53:04.9987424Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:53:04.9992478Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:53:04.9997372Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:53:05.0004236Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:53:05.0005077Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:53:05.0008302Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:53:05.0012032Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:53:05.0297827Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:53:05.0298742Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:53:05.0432769Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:53:05.0541940Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:53:05.0542827Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:53:05.0547351Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:53:05.0553344Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:53:05.0834289Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:53:05.0834843Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:53:05.0969714Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:53:05.0978492Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:53:05.0986695Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:53:05.1097073Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:53:05.1097596Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:53:05.1103480Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:53:05.1107372Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:53:05.1111110Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:53:05.1118647Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:53:05.1121867Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:53:05.1124617Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:53:05.1415183Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:53:05.1415750Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:53:05.1550151Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:53:05.1657135Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:53:05.1657862Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:53:05.1663105Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:53:05.1668185Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:53:05.1954977Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:53:05.1955687Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:53:05.2095002Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:53:05.2103881Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:53:05.2112444Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:53:05.2223127Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:53:05.2223647Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:53:05.2231480Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:53:05.2235874Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:53:05.2239505Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:53:05.2247727Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:53:05.2250946Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:53:05.2254240Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:53:05.2320814Z PASSED [ 78%]
2022-05-18T03:53:05.2344286Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_roi_align SKIPPED [ 78%]
2022-05-18T03:53:05.2365384Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_roi_align_aligned SKIPPED [ 78%]
2022-05-18T03:53:05.2386186Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_roi_heads SKIPPED [ 79%]
2022-05-18T03:53:05.2407337Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_roi_pool SKIPPED [ 79%]
2022-05-18T03:53:05.3705166Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_roll PASSED [ 79%]
2022-05-18T03:53:05.3728170Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_round SKIPPED [ 79%]
2022-05-18T03:53:05.3749653Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_rpn SKIPPED [ 79%]
2022-05-18T03:53:05.3964423Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_rsqrt PASSED [ 79%]
2022-05-18T03:53:05.4171622Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_rsqrt_zeros PASSED [ 79%]
2022-05-18T03:53:05.4838141Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_scalar_tensor PASSED [ 79%]
2022-05-18T03:53:05.8312558Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_scalar_type PASSED [ 80%]
2022-05-18T03:53:05.9245978Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_scatter PASSED [ 80%]
2022-05-18T03:53:05.9620969Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_scatter_add Warning: ONNX Preprocess - Removing mutation from node aten::scatter_add_ on block input: 'src.1'. This changes graph semantics.
2022-05-18T03:53:05.9621646Z Warning: ONNX Preprocess - Removing mutation from node aten::scatter_add_ on block input: 'index.1'. This changes graph semantics.
2022-05-18T03:53:05.9866725Z Warning: ONNX Preprocess - Removing mutation from node aten::scatter_add_ on block input: '0'. This changes graph semantics.
2022-05-18T03:53:05.9867281Z Warning: ONNX Preprocess - Removing mutation from node aten::scatter_add_ on block input: '1'. This changes graph semantics.
2022-05-18T03:53:06.0087798Z PASSED [ 80%]
2022-05-18T03:53:06.0397418Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_scatter_with_scalar PASSED [ 80%]
2022-05-18T03:53:06.0708946Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_scatter_with_scalar_different_types PASSED [ 80%]
2022-05-18T03:53:06.0941687Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_script_custom_class_error PASSED [ 80%]
2022-05-18T03:53:06.1371188Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_select PASSED [ 80%]
2022-05-18T03:53:06.1833396Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_select_negative_index PASSED [ 80%]
2022-05-18T03:53:06.1855647Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_sequance_loopcarried SKIPPED [ 80%]
2022-05-18T03:53:06.1876573Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_sequence_to_bool SKIPPED [ 81%]
2022-05-18T03:53:06.1897068Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_sequence_to_float SKIPPED [ 81%]
2022-05-18T03:53:06.1917547Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_sequence_to_int SKIPPED [ 81%]
2022-05-18T03:53:06.2371204Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_set_ PASSED [ 81%]
2022-05-18T03:53:06.2901849Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_set_attr PASSED [ 81%]
2022-05-18T03:53:06.2925729Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_set_attr_2 SKIPPED [ 81%]
2022-05-18T03:53:06.2949080Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_set_attr_3 SKIPPED [ 81%]
2022-05-18T03:53:06.2970593Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_set_attr_4 SKIPPED [ 81%]
2022-05-18T03:53:06.2992228Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_set_attr_5 SKIPPED [ 82%]
2022-05-18T03:53:06.3013909Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_set_attr_in_loop SKIPPED [ 82%]
2022-05-18T03:53:06.3035691Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_set_attr_in_loop_with_list SKIPPED [ 82%]
2022-05-18T03:53:06.5644280Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_set_attr_modules PASSED [ 82%]
2022-05-18T03:53:06.8079486Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_set_attr_modules_2 PASSED [ 82%]
2022-05-18T03:53:06.8436912Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_shape_constant_fold PASSED [ 82%]
2022-05-18T03:53:06.8947009Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_shape_value_map PASSED [ 82%]
2022-05-18T03:53:06.8971277Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_shufflenet_v2_dynamic_axes SKIPPED [ 82%]
2022-05-18T03:53:06.9241528Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_silu PASSED [ 83%]
2022-05-18T03:53:07.1298909Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_size PASSED [ 83%]
2022-05-18T03:53:07.3271272Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_slice_dynamic PASSED [ 83%]
2022-05-18T03:53:07.3483282Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_slice_dynamic_script PASSED [ 83%]
2022-05-18T03:53:07.4548183Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_slice_dynamic_shape_script PASSED [ 83%]
2022-05-18T03:53:07.6142386Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_slice_dynamic_to_end PASSED [ 83%]
2022-05-18T03:53:07.6536155Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_slice_neg PASSED [ 83%]
2022-05-18T03:53:07.7490792Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_slice_neg_large PASSED [ 83%]
2022-05-18T03:53:07.8399124Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_slice_neg_large_negone PASSED [ 84%]
2022-05-18T03:53:07.8744608Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_slice_trace PASSED [ 84%]
2022-05-18T03:53:07.8768365Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_slice_with_input_index SKIPPED [ 84%]
2022-05-18T03:53:08.2392135Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_softmax PASSED [ 84%]
2022-05-18T03:53:08.3857839Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_softmax_large_values PASSED [ 84%]
2022-05-18T03:53:08.4713384Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_softplus PASSED [ 84%]
2022-05-18T03:53:08.5500483Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_softshrink PASSED [ 84%]
2022-05-18T03:53:08.5859648Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_sort PASSED [ 84%]
2022-05-18T03:53:08.5883519Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_sort_ascending SKIPPED [ 85%]
2022-05-18T03:53:08.6165366Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_spectral_norm PASSED [ 85%]
2022-05-18T03:53:08.6629659Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_split PASSED [ 85%]
2022-05-18T03:53:08.6651117Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_split_dynamic SKIPPED [ 85%]
2022-05-18T03:53:08.6672611Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_split_dynamic_axes SKIPPED [ 85%]
2022-05-18T03:53:08.6693807Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_split_script SKIPPED [ 85%]
2022-05-18T03:53:08.6715242Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_split_size_as_list SKIPPED [ 85%]
2022-05-18T03:53:08.6736546Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_split_size_with_slice SKIPPED [ 85%]
2022-05-18T03:53:08.6756476Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_split_tensor_multi PASSED [ 86%]
2022-05-18T03:53:08.6902485Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_split_tensor_scalar PASSED [ 86%]
2022-05-18T03:53:08.7100229Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_square PASSED [ 86%]
2022-05-18T03:53:08.7337721Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_squeeze PASSED [ 86%]
2022-05-18T03:53:08.7521524Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_squeeze_all_dims PASSED [ 86%]
2022-05-18T03:53:08.7543602Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_squeeze_dynamic SKIPPED [ 86%]
2022-05-18T03:53:08.7563927Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_squeeze_dynamic_dim SKIPPED [ 86%]
2022-05-18T03:53:08.7584805Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_squeeze_neg SKIPPED [ 86%]
2022-05-18T03:53:08.7804712Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_squeeze_neg_without_no_op PASSED [ 87%]
2022-05-18T03:53:08.7825796Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_squeeze_no_op SKIPPED [ 87%]
2022-05-18T03:53:08.7846951Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_squeeze_runtime_dim SKIPPED [ 87%]
2022-05-18T03:53:08.8068887Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_squeeze_without_no_op PASSED [ 87%]
2022-05-18T03:53:08.8390855Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_stack PASSED [ 87%]
2022-05-18T03:53:08.8412274Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_stack_dynamic SKIPPED [ 87%]
2022-05-18T03:53:08.8954003Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_std PASSED [ 87%]
2022-05-18T03:53:08.9669111Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_std_along_dims PASSED [ 87%]
2022-05-18T03:53:09.0080773Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_std_correction PASSED [ 88%]
2022-05-18T03:53:09.0814767Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_std_keepdim PASSED [ 88%]
2022-05-18T03:53:09.1369004Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_std_mean PASSED [ 88%]
2022-05-18T03:53:09.2094882Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_std_mean_along_dims PASSED [ 88%]
2022-05-18T03:53:09.2500057Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_std_mean_correction PASSED [ 88%]
2022-05-18T03:53:09.3225529Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_std_mean_keepdim PASSED [ 88%]
2022-05-18T03:53:09.3461165Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_sum PASSED [ 88%]
2022-05-18T03:53:09.4860054Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_sum_empty_tensor PASSED [ 88%]
2022-05-18T03:53:09.7341012Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_symbolic_shape_inference PASSED [ 89%]
2022-05-18T03:53:10.0672463Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_symbolic_shape_inference_arange PASSED [ 89%]
2022-05-18T03:53:10.0695649Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_symbolic_shape_inference_arange_2 SKIPPED [ 89%]
2022-05-18T03:53:10.0717031Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_symbolic_shape_inference_box SKIPPED [ 89%]
2022-05-18T03:53:10.0737870Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_symbolic_shape_inference_box_if SKIPPED [ 89%]
2022-05-18T03:53:10.1276342Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_symbolic_shape_inference_dynamic_axes PASSED [ 89%]
2022-05-18T03:53:10.1609835Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_symbolic_shape_inference_expand_1 PASSED [ 89%]
2022-05-18T03:53:10.3249523Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_symbolic_shape_inference_expand_2 PASSED [ 89%]
2022-05-18T03:53:10.6461020Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_symbolic_shape_inference_nonzero PASSED [ 90%]
2022-05-18T03:53:10.7652471Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_symbolic_shape_inference_slice PASSED [ 90%]
2022-05-18T03:53:10.8546749Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_symbolic_shape_inference_slice_2 PASSED [ 90%]
2022-05-18T03:53:10.8820245Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_symbolic_shape_inference_time WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:53:10.8881234Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:53:10.8910371Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:53:10.9156370Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:53:10.9178087Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:53:10.9184332Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:53:10.9196283Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:53:10.9201567Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:53:10.9202333Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:53:10.9439777Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:53:10.9441830Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:53:10.9459090Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:53:10.9461880Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:53:10.9462836Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:53:10.9463706Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:53:10.9488410Z PASSED [ 90%]
2022-05-18T03:53:10.9729303Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_take PASSED [ 90%]
2022-05-18T03:53:11.0047541Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_tanh_gelu PASSED [ 90%]
2022-05-18T03:53:11.0645428Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_tanhshrink PASSED [ 90%]
2022-05-18T03:53:11.2475184Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_tensor PASSED [ 90%]
2022-05-18T03:53:11.4192346Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_tensor_factories PASSED [ 91%]
2022-05-18T03:53:11.4660791Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_tensor_factories_script PASSED [ 91%]
2022-05-18T03:53:11.7599706Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_tensor_index_advanced_indexing PASSED [ 91%]
2022-05-18T03:53:11.8400160Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_tensor_index_advanced_indexing_consecutive PASSED [ 91%]
2022-05-18T03:53:11.8660193Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_tensor_index_advanced_indexing_ellipsis PASSED [ 91%]
2022-05-18T03:53:11.9180188Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_tensor_like_factories_script PASSED [ 91%]
2022-05-18T03:53:11.9202335Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_tensordot_dim_count SKIPPED [ 91%]
2022-05-18T03:53:11.9223925Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_tensordot_dim_list SKIPPED [ 91%]
2022-05-18T03:53:11.9244997Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_tensordot_dynamic_dim SKIPPED [ 92%]
2022-05-18T03:53:12.0015748Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_to_device PASSED [ 92%]
2022-05-18T03:53:12.0180645Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_tolist PASSED [ 92%]
2022-05-18T03:53:12.0543443Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_topk PASSED [ 92%]
2022-05-18T03:53:12.0888751Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_topk_int32_k PASSED [ 92%]
2022-05-18T03:53:12.1080672Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_topk_script PASSED [ 92%]
2022-05-18T03:53:12.1103471Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_topk_smallest_unsorted SKIPPED [ 92%]
2022-05-18T03:53:12.1330029Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_torch_mm PASSED [ 92%]
2022-05-18T03:53:12.2106326Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_trace_script PASSED [ 93%]
2022-05-18T03:53:12.2128311Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_transform_images SKIPPED [ 93%]
2022-05-18T03:53:13.1492307Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_transformer_encoder PASSED [ 93%]
2022-05-18T03:53:13.1939751Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_transpose_infer_shape PASSED [ 93%]
2022-05-18T03:53:13.1964343Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_tril SKIPPED [ 93%]
2022-05-18T03:53:13.1986877Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_triu SKIPPED [ 93%]
2022-05-18T03:53:13.2154908Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_tuple_input PASSED [ 93%]
2022-05-18T03:53:13.2177510Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_tuple_of_optional SKIPPED [ 93%]
2022-05-18T03:53:13.2199569Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_tuple_of_optional_default_tensor SKIPPED [ 94%]
2022-05-18T03:53:13.2221921Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_tuple_of_optional_default_tensor_script SKIPPED [ 94%]
2022-05-18T03:53:13.2421611Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_tuple_output PASSED [ 94%]
2022-05-18T03:53:13.2686309Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_tuple_output_from_if_with_raised_exception PASSED [ 94%]
2022-05-18T03:53:13.2959766Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_tuple_primitive_input PASSED [ 94%]
2022-05-18T03:53:13.3010873Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_tuple_with_none_outputs PASSED [ 94%]
2022-05-18T03:53:13.3685899Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_type_as PASSED [ 94%]
2022-05-18T03:53:13.4424794Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_unbind PASSED [ 94%]
2022-05-18T03:53:13.4447720Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_unbind_dynamic SKIPPED [ 95%]
2022-05-18T03:53:13.4771330Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_unfold PASSED [ 95%]
2022-05-18T03:53:13.4793397Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_unfold_dynamic_inputs SKIPPED [ 95%]
2022-05-18T03:53:13.5358684Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_unfold_infer_shape PASSED [ 95%]
2022-05-18T03:53:13.5381375Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_uninitialized SKIPPED [ 95%]
2022-05-18T03:53:13.5403680Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_uninitialized_dynamic SKIPPED [ 95%]
2022-05-18T03:53:13.5425224Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_uninitialized_intList SKIPPED [ 95%]
2022-05-18T03:53:13.5447128Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_uninitialized_tensorList SKIPPED [ 95%]
2022-05-18T03:53:13.5468581Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_uninitialized_tensorList_dynamic SKIPPED [ 96%]
2022-05-18T03:53:13.5490069Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_uninitialized_tensorList_shape SKIPPED [ 96%]
2022-05-18T03:53:13.5513249Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_unique SKIPPED [ 96%]
2022-05-18T03:53:13.5534902Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_unique_along_dim SKIPPED [ 96%]
2022-05-18T03:53:13.5654366Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_unsafe_chunk PASSED [ 96%]
2022-05-18T03:53:13.5898538Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_unsqueeze PASSED [ 96%]
2022-05-18T03:53:13.5921446Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_unsqueeze_dynamic_dim SKIPPED [ 96%]
2022-05-18T03:53:13.6047056Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_unsupported_pad PASSED [ 96%]
2022-05-18T03:53:13.9124921Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_var PASSED [ 97%]
2022-05-18T03:53:13.9851409Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_var_along_dims PASSED [ 97%]
2022-05-18T03:53:14.0260820Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_var_correction PASSED [ 97%]
2022-05-18T03:53:14.0972657Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_var_keepdim PASSED [ 97%]
2022-05-18T03:53:14.1522642Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_var_mean PASSED [ 97%]
2022-05-18T03:53:14.2253437Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_var_mean_along_dims PASSED [ 97%]
2022-05-18T03:53:14.2666927Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_var_mean_correction PASSED [ 97%]
2022-05-18T03:53:14.3401811Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_var_mean_keepdim PASSED [ 97%]
2022-05-18T03:53:14.4381798Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_var_mean_mixed_dims PASSED [ 98%]
2022-05-18T03:53:14.4628372Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_view PASSED [ 98%]
2022-05-18T03:53:14.4838606Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_view_as PASSED [ 98%]
2022-05-18T03:53:14.5513727Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_view_dynamic PASSED [ 98%]
2022-05-18T03:53:14.5862450Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_view_dynamic_zero_dim PASSED [ 98%]
2022-05-18T03:53:14.7090762Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_weight_norm PASSED [ 98%]
2022-05-18T03:53:14.7351050Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_weight_norm_nodim PASSED [ 98%]
2022-05-18T03:53:14.7578511Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_where PASSED [ 98%]
2022-05-18T03:53:14.7984309Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_where_condition PASSED [ 99%]
2022-05-18T03:53:14.8009180Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_where_condition_script SKIPPED [ 99%]
2022-05-18T03:53:14.8641099Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_where_with_bool_tensor PASSED [ 99%]
2022-05-18T03:53:14.8884914Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_where_with_byte_tensor PASSED [ 99%]
2022-05-18T03:53:15.1041392Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_word_language_model_GRU WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:53:15.1623163Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:53:15.1836954Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:53:15.2430523Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:53:15.3188551Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:53:15.3382277Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:53:15.3508173Z PASSED [ 99%]
2022-05-18T03:53:15.4060212Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_word_language_model_LSTM WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:53:15.4851811Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:53:15.5055234Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:53:15.5173378Z PASSED [ 99%]
2022-05-18T03:53:15.5668119Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_word_language_model_RNN_RELU WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:53:15.6176345Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:53:15.6230858Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:53:15.6354085Z PASSED [ 99%]
2022-05-18T03:53:15.6846827Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_word_language_model_RNN_TANH WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:53:15.7353449Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:53:15.7409145Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:53:15.7531904Z PASSED [ 99%]
2022-05-18T03:53:15.8089770Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_zeros_ones_with_tensor_input PASSED [100%]/opt/conda/lib/python3.7/site-packages/coverage/control.py:793: CoverageWarning: No data was collected. (no-data-collected)
2022-05-18T03:53:15.8090333Z   self._warn("No data was collected.", slug="no-data-collected")
2022-05-18T03:53:16.4225743Z 
2022-05-18T03:53:16.4234402Z 
2022-05-18T03:53:16.4235055Z =============================== warnings summary ===============================
2022-05-18T03:53:16.4236088Z ../.local/lib/python3.7/site-packages/torchvision/transforms/functional_pil.py:207
2022-05-18T03:53:16.4236845Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/transforms/functional_pil.py:207: DeprecationWarning: BILINEAR is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.BILINEAR instead.
2022-05-18T03:53:16.4237275Z     def resize(img, size, interpolation=Image.BILINEAR):
2022-05-18T03:53:16.4237429Z 
2022-05-18T03:53:16.4239840Z ../.local/lib/python3.7/site-packages/torchvision/transforms/functional_pil.py:280
2022-05-18T03:53:16.4240745Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/transforms/functional_pil.py:280: DeprecationWarning: BICUBIC is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.BICUBIC instead.
2022-05-18T03:53:16.4241515Z     def perspective(img, perspective_coeffs, interpolation=Image.BICUBIC, fill=None):
2022-05-18T03:53:16.4241847Z 
2022-05-18T03:53:16.4242060Z test/onnx/test_pytorch_onnx_onnxruntime.py: 48 warnings
2022-05-18T03:53:16.4243064Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/utils.py:1522: UserWarning: No names were found for specified dynamic axes of provided input.Automatically generated names will be applied to each dynamic axes of input x
2022-05-18T03:53:16.4243668Z     key
2022-05-18T03:53:16.4243820Z 
2022-05-18T03:53:16.4244100Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_arange_dynamic
2022-05-18T03:53:16.4244662Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_eye
2022-05-18T03:53:16.4247461Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_index_add_dynamic_axes
2022-05-18T03:53:16.4248304Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_scalar_tensor
2022-05-18T03:53:16.4249031Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_slice_dynamic
2022-05-18T03:53:16.4249900Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_slice_dynamic_to_end
2022-05-18T03:53:16.4250856Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_view_dynamic_zero_dim
2022-05-18T03:53:16.4252251Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/utils.py:1522: UserWarning: No names were found for specified dynamic axes of provided input.Automatically generated names will be applied to each dynamic axes of input input_1
2022-05-18T03:53:16.4252940Z     key
2022-05-18T03:53:16.4253214Z 
2022-05-18T03:53:16.4253508Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_arange_dynamic
2022-05-18T03:53:16.4254075Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_slice_dynamic
2022-05-18T03:53:16.4254914Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_slice_dynamic_to_end
2022-05-18T03:53:16.4255797Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/utils.py:1522: UserWarning: No names were found for specified dynamic axes of provided input.Automatically generated names will be applied to each dynamic axes of input output_1
2022-05-18T03:53:16.4256486Z     key
2022-05-18T03:53:16.4256667Z 
2022-05-18T03:53:16.4257129Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_arange_with_floats_out
2022-05-18T03:53:16.4258576Z   /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:426: UserWarning: The number of elements in the out tensor of shape [1] is 1 which does not match the computed number of elements 9. Note that this may occur as a result of rounding error. The out tensor will be resized to a tensor of shape (9,). (Triggered internally at  /var/lib/jenkins/workspace/aten/src/ATen/native/RangeFactories.cpp:187.)
2022-05-18T03:53:16.4259177Z     return callable(*args, **kwargs)
2022-05-18T03:53:16.4259309Z 
2022-05-18T03:53:16.4259472Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_arange_with_floats_out
2022-05-18T03:53:16.4260351Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2610: UserWarning: The number of elements in the out tensor of shape [1] is 1 which does not match the computed number of elements 9. Note that this may occur as a result of rounding error. The out tensor will be resized to a tensor of shape (9,). (Triggered internally at  /var/lib/jenkins/workspace/aten/src/ATen/native/RangeFactories.cpp:187.)
2022-05-18T03:53:16.4261229Z     return torch.arange(end, out=out_t)
2022-05-18T03:53:16.4261446Z 
2022-05-18T03:53:16.4261751Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_arange_with_floats_out
2022-05-18T03:53:16.4262863Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2609: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T03:53:16.4263861Z     out_t = torch.tensor([1], dtype=torch.float)
2022-05-18T03:53:16.4264120Z 
2022-05-18T03:53:16.4264446Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_arange_with_floats_out
2022-05-18T03:53:16.4266096Z   /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:426: UserWarning: The number of elements in the out tensor of shape [1] is 1 which does not match the computed number of elements 5. Note that this may occur as a result of rounding error. The out tensor will be resized to a tensor of shape (5,). (Triggered internally at  /var/lib/jenkins/workspace/aten/src/ATen/native/RangeFactories.cpp:187.)
2022-05-18T03:53:16.4267075Z     return callable(*args, **kwargs)
2022-05-18T03:53:16.4267272Z 
2022-05-18T03:53:16.4267501Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_arange_with_floats_out
2022-05-18T03:53:16.4268450Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2618: UserWarning: The number of elements in the out tensor of shape [1] is 1 which does not match the computed number of elements 5. Note that this may occur as a result of rounding error. The out tensor will be resized to a tensor of shape (5,). (Triggered internally at  /var/lib/jenkins/workspace/aten/src/ATen/native/RangeFactories.cpp:187.)
2022-05-18T03:53:16.4269290Z     return torch.arange(start.size(0), end, 1.5, out=out_t)
2022-05-18T03:53:16.4269510Z 
2022-05-18T03:53:16.4269754Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_arange_with_floats_out
2022-05-18T03:53:16.4270594Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2617: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T03:53:16.4271270Z     out_t = torch.tensor([1], dtype=torch.float)
2022-05-18T03:53:16.4271447Z 
2022-05-18T03:53:16.4271687Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_arithmetic_prim_bool
2022-05-18T03:53:16.4272705Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2217: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T03:53:16.4273371Z     if z:
2022-05-18T03:53:16.4273507Z 
2022-05-18T03:53:16.4273716Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_baddbmm
2022-05-18T03:53:16.4274517Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:7625: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T03:53:16.4275333Z     input, batch1, batch2, alpha=torch.tensor(5), beta=3.5
2022-05-18T03:53:16.4275479Z 
2022-05-18T03:53:16.4275762Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_batchnorm1d_norunningstats
2022-05-18T03:53:16.4276229Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_batchnorm2d_norunningstats
2022-05-18T03:53:16.4277125Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/symbolic_helper.py:1139: UserWarning: ONNX export mode is set to inference mode, but operator batch_norm is set to training  mode. The operators will be exported in training , as specified by the functional operator.
2022-05-18T03:53:16.4277842Z     + ", as specified by the functional operator."
2022-05-18T03:53:16.4277988Z 
2022-05-18T03:53:16.4278272Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_batchnorm1d_norunningstats
2022-05-18T03:53:16.4278817Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_batchnorm2d_norunningstats
2022-05-18T03:53:16.4279324Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_batchnorm_training
2022-05-18T03:53:16.4279819Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_batchnorm_training_mode_fix_layer
2022-05-18T03:53:16.4280252Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_conv_bn
2022-05-18T03:53:16.4280749Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_groupnorm
2022-05-18T03:53:16.4281309Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_groupnorm_noaffine
2022-05-18T03:53:16.4283860Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_multiple_conv_bn
2022-05-18T03:53:16.4285329Z   /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:2352: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T03:53:16.4286307Z     if size_prods == 1:
2022-05-18T03:53:16.4286516Z 
2022-05-18T03:53:16.4286813Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_batchnorm_eval_mode_train_layer
2022-05-18T03:53:16.4287474Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_batchnorm_training
2022-05-18T03:53:16.4288122Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_batchnorm_training_mode_fix_layer
2022-05-18T03:53:16.4288804Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_conv_bn
2022-05-18T03:53:16.4289400Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_embedding
2022-05-18T03:53:16.4289919Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_instancenorm_eval_mode_train_layer
2022-05-18T03:53:16.4290473Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_instancenorm_training
2022-05-18T03:53:16.4291175Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_instancenorm_training_mode_fix_layer
2022-05-18T03:53:16.4291787Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_multiple_conv_bn
2022-05-18T03:53:16.4293800Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/utils.py:438: UserWarning: It is recommended that constant folding be turned off ('do_constant_folding=False') when exporting the model in training-amenable mode, i.e. with 'training=TrainingMode.TRAIN' or 'training=TrainingMode.PRESERVE' (when model is in training mode). Otherwise, some learnable model parameters may not translate correctly in the exported ONNX model because constant folding mutates model parameters. Please consider turning off constant folding or setting the training=TrainingMode.EVAL.
2022-05-18T03:53:16.4295403Z     "It is recommended that constant folding be turned off ('do_constant_folding=False') "
2022-05-18T03:53:16.4295689Z 
2022-05-18T03:53:16.4295951Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_batchnorm_training
2022-05-18T03:53:16.4296619Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_batchnorm_training_mode_fix_layer
2022-05-18T03:53:16.4297275Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_conv_bn
2022-05-18T03:53:16.4297820Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_embedding
2022-05-18T03:53:16.4298397Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_instancenorm_training
2022-05-18T03:53:16.4299071Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_instancenorm_training_mode_fix_layer
2022-05-18T03:53:16.4299761Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_multiple_conv_bn
2022-05-18T03:53:16.4301056Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/utils.py:75: UserWarning: You are exporting the model in training mode with onnx opset version 10. Opset versions lower than opset 12 will not be able to export nodes such as Dropout and BatchNorm correctly.
2022-05-18T03:53:16.4301624Z     GLOBALS.export_onnx_opset_version
2022-05-18T03:53:16.4301775Z 
2022-05-18T03:53:16.4301967Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_bitshift
2022-05-18T03:53:16.4302841Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:3936: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T03:53:16.4303649Z     input >> torch.tensor([1, 2]),
2022-05-18T03:53:16.4303967Z 
2022-05-18T03:53:16.4304224Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_dequantize
2022-05-18T03:53:16.4304758Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_quantized_adaptive_avg_pool2d
2022-05-18T03:53:16.4305288Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_quantized_arithmetic
2022-05-18T03:53:16.4305760Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_quantized_conv2d
2022-05-18T03:53:16.4306287Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_quantized_conv2d_relu
2022-05-18T03:53:16.4306789Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_quantized_flatten
2022-05-18T03:53:16.4307289Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_quantized_hardsigmoid
2022-05-18T03:53:16.4307802Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_quantized_hardswish
2022-05-18T03:53:16.4308249Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_quantized_linear
2022-05-18T03:53:16.4308837Z   /opt/conda/lib/python3.7/site-packages/torch/jit/_trace.py:745: UserWarning: The input to trace is already a ScriptModule, tracing it is a no-op. Returning the object as is.
2022-05-18T03:53:16.4309474Z     "The input to trace is already a ScriptModule, tracing it is a no-op. Returning the object as is."
2022-05-18T03:53:16.4309825Z 
2022-05-18T03:53:16.4309991Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_derive_index
2022-05-18T03:53:16.4310569Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:9340: TracerWarning: Using len to get tensor shape might cause the trace to be incorrect. Recommended usage would be tensor.shape[0]. Passing a tensor of different shape might lead to errors or silently give incorrect results.
2022-05-18T03:53:16.4311179Z     for idx in range(len(x) - 1, -len(x), -2):
2022-05-18T03:53:16.4311305Z 
2022-05-18T03:53:16.4311470Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_derive_index
2022-05-18T03:53:16.4312512Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:9351: TracerWarning: Using len to get tensor shape might cause the trace to be incorrect. Recommended usage would be tensor.shape[0]. Passing a tensor of different shape might lead to errors or silently give incorrect results.
2022-05-18T03:53:16.4313204Z     for idx in range(-len(x), len(x) - 1, 2):
2022-05-18T03:53:16.4313426Z 
2022-05-18T03:53:16.4313733Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_derive_index
2022-05-18T03:53:16.4314472Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:9362: TracerWarning: Using len to get tensor shape might cause the trace to be incorrect. Recommended usage would be tensor.shape[0]. Passing a tensor of different shape might lead to errors or silently give incorrect results.
2022-05-18T03:53:16.4314987Z     for idx in range(len(x) - 1, -len(x), -3):
2022-05-18T03:53:16.4315181Z 
2022-05-18T03:53:16.4315468Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_derive_index
2022-05-18T03:53:16.4316437Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:9372: TracerWarning: Using len to get tensor shape might cause the trace to be incorrect. Recommended usage would be tensor.shape[0]. Passing a tensor of different shape might lead to errors or silently give incorrect results.
2022-05-18T03:53:16.4317347Z     for idx in range(-len(x), len(x) - 1, 3):
2022-05-18T03:53:16.4317570Z 
2022-05-18T03:53:16.4317838Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_dynamic_arange_out
2022-05-18T03:53:16.4319590Z   /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:426: UserWarning: The number of elements in the out tensor of shape [1] is 1 which does not match the computed number of elements 8. Note that this may occur as a result of rounding error. The out tensor will be resized to a tensor of shape (8,). (Triggered internally at  /var/lib/jenkins/workspace/aten/src/ATen/native/RangeFactories.cpp:187.)
2022-05-18T03:53:16.4320534Z     return callable(*args, **kwargs)
2022-05-18T03:53:16.4320660Z 
2022-05-18T03:53:16.4320830Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_dynamic_arange_out
2022-05-18T03:53:16.4321482Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2561: UserWarning: The number of elements in the out tensor of shape [1] is 1 which does not match the computed number of elements 8. Note that this may occur as a result of rounding error. The out tensor will be resized to a tensor of shape (8,). (Triggered internally at  /var/lib/jenkins/workspace/aten/src/ATen/native/RangeFactories.cpp:187.)
2022-05-18T03:53:16.4322021Z     return torch.arange(end, out=out_t)
2022-05-18T03:53:16.4322151Z 
2022-05-18T03:53:16.4322319Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_dynamic_arange_out
2022-05-18T03:53:16.4322977Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2560: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T03:53:16.4323517Z     out_t = torch.tensor([1], dtype=torch.int64)
2022-05-18T03:53:16.4323653Z 
2022-05-18T03:53:16.4323826Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_dynamic_arange_start_out
2022-05-18T03:53:16.4324745Z   /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:426: UserWarning: The number of elements in the out tensor of shape [1] is 1 which does not match the computed number of elements 6. Note that this may occur as a result of rounding error. The out tensor will be resized to a tensor of shape (6,). (Triggered internally at  /var/lib/jenkins/workspace/aten/src/ATen/native/RangeFactories.cpp:187.)
2022-05-18T03:53:16.4325299Z     return callable(*args, **kwargs)
2022-05-18T03:53:16.4325425Z 
2022-05-18T03:53:16.4325600Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_dynamic_arange_start_out
2022-05-18T03:53:16.4326247Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2571: UserWarning: The number of elements in the out tensor of shape [1] is 1 which does not match the computed number of elements 6. Note that this may occur as a result of rounding error. The out tensor will be resized to a tensor of shape (6,). (Triggered internally at  /var/lib/jenkins/workspace/aten/src/ATen/native/RangeFactories.cpp:187.)
2022-05-18T03:53:16.4326817Z     return torch.arange(start.size(0), end, out=out_t)
2022-05-18T03:53:16.4326959Z 
2022-05-18T03:53:16.4327119Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_dynamic_arange_start_out
2022-05-18T03:53:16.4327748Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2570: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T03:53:16.4328292Z     out_t = torch.tensor([1], dtype=torch.int64)
2022-05-18T03:53:16.4328430Z 
2022-05-18T03:53:16.4328549Z test/onnx/test_pytorch_onnx_onnxruntime.py: 129 warnings
2022-05-18T03:53:16.4329343Z   /opt/conda/lib/python3.7/site-packages/torch/nn/utils/rnn.py:250: TracerWarning: torch.as_tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T03:53:16.4329874Z     lengths = torch.as_tensor(lengths, dtype=torch.int64)
2022-05-18T03:53:16.4330057Z 
2022-05-18T03:53:16.4330181Z test/onnx/test_pytorch_onnx_onnxruntime.py: 65 warnings
2022-05-18T03:53:16.4330930Z   /opt/conda/lib/python3.7/site-packages/torch/nn/modules/rnn.py:436: TracerWarning: Converting a tensor to a Python integer might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T03:53:16.4331413Z     max_batch_size = int(batch_sizes[0])
2022-05-18T03:53:16.4331541Z 
2022-05-18T03:53:16.4331649Z test/onnx/test_pytorch_onnx_onnxruntime.py: 208 warnings
2022-05-18T03:53:16.4332385Z   /opt/conda/lib/python3.7/site-packages/torch/nn/modules/rnn.py:204: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T03:53:16.4332923Z     if self.input_size != input.size(-1):
2022-05-18T03:53:16.4333054Z 
2022-05-18T03:53:16.4333171Z test/onnx/test_pytorch_onnx_onnxruntime.py: 129 warnings
2022-05-18T03:53:16.4333940Z   /opt/conda/lib/python3.7/site-packages/torch/nn/modules/rnn.py:211: TracerWarning: Converting a tensor to a Python integer might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T03:53:16.4334410Z     mini_batch = int(batch_sizes[0])
2022-05-18T03:53:16.4334674Z 
2022-05-18T03:53:16.4334871Z test/onnx/test_pytorch_onnx_onnxruntime.py: 208 warnings
2022-05-18T03:53:16.4335943Z   /opt/conda/lib/python3.7/site-packages/torch/nn/modules/rnn.py:225: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T03:53:16.4336436Z     if hx.size() != expected_hidden_size:
2022-05-18T03:53:16.4336565Z 
2022-05-18T03:53:16.4336672Z test/onnx/test_pytorch_onnx_onnxruntime.py: 129 warnings
2022-05-18T03:53:16.4337410Z   /opt/conda/lib/python3.7/site-packages/torch/nn/utils/rnn.py:330: TracerWarning: Converting a tensor to a Python integer might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T03:53:16.4337954Z     sequence.data, sequence.batch_sizes, batch_first, padding_value, max_seq_length)
2022-05-18T03:53:16.4338134Z 
2022-05-18T03:53:16.4338255Z test/onnx/test_pytorch_onnx_onnxruntime.py: 49 warnings
2022-05-18T03:53:16.4339053Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/symbolic_opset9.py:3097: UserWarning: Exporting a model to ONNX with a batch_size other than 1, with a variable length with RNN_RELU can cause an error when running the ONNX model with a different batch size. Make sure to save the model with a batch size of 1, or define the initial states (h0/c0) as inputs of the model. 
2022-05-18T03:53:16.4339592Z     + "or define the initial states (h0/c0) as inputs of the model. "
2022-05-18T03:53:16.4339747Z 
2022-05-18T03:53:16.4339866Z test/onnx/test_pytorch_onnx_onnxruntime.py: 48 warnings
2022-05-18T03:53:16.4340462Z   /opt/conda/lib/python3.7/site-packages/torch/nn/modules/rnn.py:65: UserWarning: dropout option adds dropout after all but last recurrent layer, so non-zero dropout expects num_layers greater than 1, but got dropout=0.2 and num_layers=1
2022-05-18T03:53:16.4340909Z     "num_layers={}".format(dropout, num_layers))
2022-05-18T03:53:16.4341048Z 
2022-05-18T03:53:16.4341164Z test/onnx/test_pytorch_onnx_onnxruntime.py: 51 warnings
2022-05-18T03:53:16.4341943Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/symbolic_opset9.py:3097: UserWarning: Exporting a model to ONNX with a batch_size other than 1, with a variable length with RNN_TANH can cause an error when running the ONNX model with a different batch size. Make sure to save the model with a batch size of 1, or define the initial states (h0/c0) as inputs of the model. 
2022-05-18T03:53:16.4342566Z     + "or define the initial states (h0/c0) as inputs of the model. "
2022-05-18T03:53:16.4342722Z 
2022-05-18T03:53:16.4342890Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_embedding
2022-05-18T03:53:16.4343236Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_embedding_module
2022-05-18T03:53:16.4344008Z   /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:2130: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T03:53:16.4344561Z     assert padding_idx < weight.size(0), "Padding_idx must be within num_embeddings"
2022-05-18T03:53:16.4344741Z 
2022-05-18T03:53:16.4344899Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_embedding
2022-05-18T03:53:16.4345598Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/symbolic_opset9.py:538: UserWarning: Warning: ONNX export of embedding with padding_idx >= 0 for training mode. ONNX does not support not updating the embedding vector at padding_idx during training.
2022-05-18T03:53:16.4346059Z     "Warning: ONNX export of embedding with padding_idx >= 0 "
2022-05-18T03:53:16.4346202Z 
2022-05-18T03:53:16.4346363Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_embedding_bag
2022-05-18T03:53:16.4347011Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/symbolic_opset10.py:341: UserWarning: Export of embedding_bag with dynamic input/offsets shape is not supported in opset 10. Please use opset 11 or higher to export model for dynamic input shape.'
2022-05-18T03:53:16.4347497Z     "Export of embedding_bag with dynamic input/offsets shape is not supported in opset 10. "
2022-05-18T03:53:16.4347683Z 
2022-05-18T03:53:16.4347835Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_eye
2022-05-18T03:53:16.4348609Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:6400: TracerWarning: Converting a tensor to a Python integer might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T03:53:16.4349089Z     torch.eye(x.size()[1], 3),
2022-05-18T03:53:16.4349208Z 
2022-05-18T03:53:16.4349359Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_eye
2022-05-18T03:53:16.4350135Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:6402: TracerWarning: Converting a tensor to a Python integer might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T03:53:16.4350639Z     torch.eye(x.size()[1], 2, dtype=torch.long),
2022-05-18T03:53:16.4350764Z 
2022-05-18T03:53:16.4350913Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_eye
2022-05-18T03:53:16.4351751Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:6403: TracerWarning: Converting a tensor to a Python integer might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T03:53:16.4352229Z     torch.eye(x.shape[0]),
2022-05-18T03:53:16.4352347Z 
2022-05-18T03:53:16.4352498Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_eye
2022-05-18T03:53:16.4353306Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:6404: TracerWarning: Converting a tensor to a Python integer might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T03:53:16.4353804Z     torch.eye(x.shape[0], dtype=torch.float64),
2022-05-18T03:53:16.4353943Z 
2022-05-18T03:53:16.4354102Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_floor_div
2022-05-18T03:53:16.4354835Z   /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:426: UserWarning: floor_divide is deprecated, and will be removed in a future version of pytorch. It currently rounds toward 0 (like the 'trunc' function NOT 'floor'). This results in incorrect rounding for negative values.
2022-05-18T03:53:16.4355665Z   To keep the current behavior, use torch.div(a, b, rounding_mode='trunc'), or for actual floor division, use torch.div(a, b, rounding_mode='floor'). (Triggered internally at  /var/lib/jenkins/workspace/aten/src/ATen/native/BinaryOps.cpp:599.)
2022-05-18T03:53:16.4356055Z     return callable(*args, **kwargs)
2022-05-18T03:53:16.4356182Z 
2022-05-18T03:53:16.4356367Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_floor_div
2022-05-18T03:53:16.4357321Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2269: UserWarning: __floordiv__ is deprecated, and its behavior will change in a future version of pytorch. It currently rounds toward 0 (like the 'trunc' function NOT 'floor'). This results in incorrect rounding for negative values. To keep the current behavior, use torch.div(a, b, rounding_mode='trunc'), or for actual floor division, use torch.div(a, b, rounding_mode='floor').
2022-05-18T03:53:16.4357871Z     x // 3,
2022-05-18T03:53:16.4357971Z 
2022-05-18T03:53:16.4358128Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_floor_div
2022-05-18T03:53:16.4359069Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2270: UserWarning: __floordiv__ is deprecated, and its behavior will change in a future version of pytorch. It currently rounds toward 0 (like the 'trunc' function NOT 'floor'). This results in incorrect rounding for negative values. To keep the current behavior, use torch.div(a, b, rounding_mode='trunc'), or for actual floor division, use torch.div(a, b, rounding_mode='floor').
2022-05-18T03:53:16.4359612Z     x // 2.0,
2022-05-18T03:53:16.4359713Z 
2022-05-18T03:53:16.4359868Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_floor_div
2022-05-18T03:53:16.4360803Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2271: UserWarning: __floordiv__ is deprecated, and its behavior will change in a future version of pytorch. It currently rounds toward 0 (like the 'trunc' function NOT 'floor'). This results in incorrect rounding for negative values. To keep the current behavior, use torch.div(a, b, rounding_mode='trunc'), or for actual floor division, use torch.div(a, b, rounding_mode='floor').
2022-05-18T03:53:16.4361373Z     x.to(dtype=torch.float64) // 3,
2022-05-18T03:53:16.4361502Z 
2022-05-18T03:53:16.4361651Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_floor_div
2022-05-18T03:53:16.4362592Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2272: UserWarning: __floordiv__ is deprecated, and its behavior will change in a future version of pytorch. It currently rounds toward 0 (like the 'trunc' function NOT 'floor'). This results in incorrect rounding for negative values. To keep the current behavior, use torch.div(a, b, rounding_mode='trunc'), or for actual floor division, use torch.div(a, b, rounding_mode='floor').
2022-05-18T03:53:16.4363154Z     x.to(dtype=torch.float64) // 2.0,
2022-05-18T03:53:16.4363284Z 
2022-05-18T03:53:16.4363439Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_floor_div
2022-05-18T03:53:16.4364419Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2273: UserWarning: __floordiv__ is deprecated, and its behavior will change in a future version of pytorch. It currently rounds toward 0 (like the 'trunc' function NOT 'floor'). This results in incorrect rounding for negative values. To keep the current behavior, use torch.div(a, b, rounding_mode='trunc'), or for actual floor division, use torch.div(a, b, rounding_mode='floor').
2022-05-18T03:53:16.4365000Z     x.to(dtype=torch.int64) // 3,
2022-05-18T03:53:16.4365112Z 
2022-05-18T03:53:16.4365267Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_floor_div
2022-05-18T03:53:16.4368951Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2274: UserWarning: __floordiv__ is deprecated, and its behavior will change in a future version of pytorch. It currently rounds toward 0 (like the 'trunc' function NOT 'floor'). This results in incorrect rounding for negative values. To keep the current behavior, use torch.div(a, b, rounding_mode='trunc'), or for actual floor division, use torch.div(a, b, rounding_mode='floor').
2022-05-18T03:53:16.4369954Z     x.to(dtype=torch.int64) // 2.0,
2022-05-18T03:53:16.4370412Z 
2022-05-18T03:53:16.4370787Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_floor_div
2022-05-18T03:53:16.4372423Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2275: UserWarning: __floordiv__ is deprecated, and its behavior will change in a future version of pytorch. It currently rounds toward 0 (like the 'trunc' function NOT 'floor'). This results in incorrect rounding for negative values. To keep the current behavior, use torch.div(a, b, rounding_mode='trunc'), or for actual floor division, use torch.div(a, b, rounding_mode='floor').
2022-05-18T03:53:16.4373002Z     x // (y + 1.0).to(dtype=torch.int64),
2022-05-18T03:53:16.4373128Z 
2022-05-18T03:53:16.4373289Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_floor_div
2022-05-18T03:53:16.4374232Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2276: UserWarning: __floordiv__ is deprecated, and its behavior will change in a future version of pytorch. It currently rounds toward 0 (like the 'trunc' function NOT 'floor'). This results in incorrect rounding for negative values. To keep the current behavior, use torch.div(a, b, rounding_mode='trunc'), or for actual floor division, use torch.div(a, b, rounding_mode='floor').
2022-05-18T03:53:16.4374955Z     x // y,
2022-05-18T03:53:16.4375055Z 
2022-05-18T03:53:16.4375214Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_floor_div
2022-05-18T03:53:16.4376139Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2277: UserWarning: __floordiv__ is deprecated, and its behavior will change in a future version of pytorch. It currently rounds toward 0 (like the 'trunc' function NOT 'floor'). This results in incorrect rounding for negative values. To keep the current behavior, use torch.div(a, b, rounding_mode='trunc'), or for actual floor division, use torch.div(a, b, rounding_mode='floor').
2022-05-18T03:53:16.4376744Z     x.to(dtype=torch.float64) // y.to(dtype=torch.int64),
2022-05-18T03:53:16.4376897Z 
2022-05-18T03:53:16.4377077Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_floor_div
2022-05-18T03:53:16.4378634Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2278: UserWarning: __floordiv__ is deprecated, and its behavior will change in a future version of pytorch. It currently rounds toward 0 (like the 'trunc' function NOT 'floor'). This results in incorrect rounding for negative values. To keep the current behavior, use torch.div(a, b, rounding_mode='trunc'), or for actual floor division, use torch.div(a, b, rounding_mode='floor').
2022-05-18T03:53:16.4379738Z     x.to(dtype=torch.float64) // y.to(dtype=torch.float64),
2022-05-18T03:53:16.4380134Z 
2022-05-18T03:53:16.4380420Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_floor_div
2022-05-18T03:53:16.4382244Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2279: UserWarning: __floordiv__ is deprecated, and its behavior will change in a future version of pytorch. It currently rounds toward 0 (like the 'trunc' function NOT 'floor'). This results in incorrect rounding for negative values. To keep the current behavior, use torch.div(a, b, rounding_mode='trunc'), or for actual floor division, use torch.div(a, b, rounding_mode='floor').
2022-05-18T03:53:16.4382861Z     x.to(dtype=torch.int64) // y.to(dtype=torch.int64),
2022-05-18T03:53:16.4383007Z 
2022-05-18T03:53:16.4383166Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_floor_div
2022-05-18T03:53:16.4384099Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2280: UserWarning: __floordiv__ is deprecated, and its behavior will change in a future version of pytorch. It currently rounds toward 0 (like the 'trunc' function NOT 'floor'). This results in incorrect rounding for negative values. To keep the current behavior, use torch.div(a, b, rounding_mode='trunc'), or for actual floor division, use torch.div(a, b, rounding_mode='floor').
2022-05-18T03:53:16.4384893Z     x.to(dtype=torch.int64) // y,
2022-05-18T03:53:16.4385009Z 
2022-05-18T03:53:16.4385169Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_floordiv
2022-05-18T03:53:16.4386131Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2301: UserWarning: __floordiv__ is deprecated, and its behavior will change in a future version of pytorch. It currently rounds toward 0 (like the 'trunc' function NOT 'floor'). This results in incorrect rounding for negative values. To keep the current behavior, use torch.div(a, b, rounding_mode='trunc'), or for actual floor division, use torch.div(a, b, rounding_mode='floor').
2022-05-18T03:53:16.4386713Z     return x.new_zeros(x.size(2) // x.size(1))
2022-05-18T03:53:16.4386849Z 
2022-05-18T03:53:16.4387009Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_groupnorm
2022-05-18T03:53:16.4387345Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_groupnorm_noaffine
2022-05-18T03:53:16.4388285Z   /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:2464: UserWarning: __floordiv__ is deprecated, and its behavior will change in a future version of pytorch. It currently rounds toward 0 (like the 'trunc' function NOT 'floor'). This results in incorrect rounding for negative values. To keep the current behavior, use torch.div(a, b, rounding_mode='trunc'), or for actual floor division, use torch.div(a, b, rounding_mode='floor').
2022-05-18T03:53:16.4388935Z     _verify_batch_size([input.size(0) * input.size(1) // num_groups, num_groups] + list(input.size()[2:]))
2022-05-18T03:53:16.4389121Z 
2022-05-18T03:53:16.4389240Z test/onnx/test_pytorch_onnx_onnxruntime.py: 52 warnings
2022-05-18T03:53:16.4390035Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/symbolic_opset9.py:3097: UserWarning: Exporting a model to ONNX with a batch_size other than 1, with a variable length with GRU can cause an error when running the ONNX model with a different batch size. Make sure to save the model with a batch size of 1, or define the initial states (h0/c0) as inputs of the model. 
2022-05-18T03:53:16.4390575Z     + "or define the initial states (h0/c0) as inputs of the model. "
2022-05-18T03:53:16.4390718Z 
2022-05-18T03:53:16.4390836Z test/onnx/test_pytorch_onnx_onnxruntime.py: 32 warnings
2022-05-18T03:53:16.4391670Z   /opt/conda/lib/python3.7/site-packages/torch/nn/modules/rnn.py:918: TracerWarning: Converting a tensor to a Python integer might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T03:53:16.4392160Z     max_batch_size = int(max_batch_size)
2022-05-18T03:53:16.4392333Z 
2022-05-18T03:53:16.4392510Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_hann_window_default_values
2022-05-18T03:53:16.4393306Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:11822: TracerWarning: Converting a tensor to a Python integer might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T03:53:16.4393845Z     return torch.add(x, F.relu(torch.hann_window(self.window_length)))
2022-05-18T03:53:16.4394011Z 
2022-05-18T03:53:16.4394185Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_hann_window_not_periodic
2022-05-18T03:53:16.4394985Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:11800: TracerWarning: Converting a tensor to a Python integer might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T03:53:16.4395505Z     self.window_length, periodic=False, dtype=torch.float
2022-05-18T03:53:16.4395659Z 
2022-05-18T03:53:16.4395849Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_hann_window_periodic
2022-05-18T03:53:16.4396644Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:11778: TracerWarning: Converting a tensor to a Python integer might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T03:53:16.4397158Z     self.window_length, periodic=True, dtype=torch.float
2022-05-18T03:53:16.4397307Z 
2022-05-18T03:53:16.4397478Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_heatmaps_to_keypoints
2022-05-18T03:53:16.4398469Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/detection/roi_heads.py:269: UserWarning: __floordiv__ is deprecated, and its behavior will change in a future version of pytorch. It currently rounds toward 0 (like the 'trunc' function NOT 'floor'). This results in incorrect rounding for negative values. To keep the current behavior, use torch.div(a, b, rounding_mode='trunc'), or for actual floor division, use torch.div(a, b, rounding_mode='floor').
2022-05-18T03:53:16.4399092Z     y_int = (pos - x_int) // w
2022-05-18T03:53:16.4399208Z 
2022-05-18T03:53:16.4399363Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_if_fold
2022-05-18T03:53:16.4400143Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:7859: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T03:53:16.4400619Z     if y.numel() > 1:
2022-05-18T03:53:16.4400728Z 
2022-05-18T03:53:16.4400879Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_if_fold
2022-05-18T03:53:16.4401644Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:7928: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T03:53:16.4402122Z     if y.numel() != 0 and y.dim() == 2:
2022-05-18T03:53:16.4402244Z 
2022-05-18T03:53:16.4402396Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_if_fold
2022-05-18T03:53:16.4403163Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:7940: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T03:53:16.4403656Z     if x.numel() == y.numel():
2022-05-18T03:53:16.4403771Z 
2022-05-18T03:53:16.4403928Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_if_fold
2022-05-18T03:53:16.4404710Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:7952: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T03:53:16.4405183Z     if x.numel() != y.numel():
2022-05-18T03:53:16.4405298Z 
2022-05-18T03:53:16.4405474Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_index_add_dim_size_differ
2022-05-18T03:53:16.4405820Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_index_add_dynamic_axes
2022-05-18T03:53:16.4406170Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_index_add_if
2022-05-18T03:53:16.4406509Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_index_add_in_loop
2022-05-18T03:53:16.4406869Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_index_add_normal
2022-05-18T03:53:16.4407508Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/symbolic_opset9.py:4597: UserWarning: Warning: ONNX export does not support duplicated values in 'index' field, this will cause the ONNX model to be incorrect.
2022-05-18T03:53:16.4408010Z     "Warning: ONNX export does not support duplicated values in 'index' field, "
2022-05-18T03:53:16.4408185Z 
2022-05-18T03:53:16.4408346Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_index_copy
2022-05-18T03:53:16.4408951Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:3991: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T03:53:16.4409463Z     index = torch.tensor([2, 0])
2022-05-18T03:53:16.4409584Z 
2022-05-18T03:53:16.4409740Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_index_fill
2022-05-18T03:53:16.4410344Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:3981: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T03:53:16.4410860Z     index = torch.tensor([2, 0])
2022-05-18T03:53:16.4410980Z 
2022-05-18T03:53:16.4411126Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_index_mask
2022-05-18T03:53:16.4411843Z   /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:426: UserWarning: indexing with dtype torch.uint8 is now deprecated, please use a dtype torch.bool instead. (Triggered internally at  /var/lib/jenkins/workspace/aten/src/ATen/native/IndexingUtils.h:28.)
2022-05-18T03:53:16.4412298Z     return callable(*args, **kwargs)
2022-05-18T03:53:16.4412424Z 
2022-05-18T03:53:16.4412582Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_index_mask
2022-05-18T03:53:16.4413297Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/symbolic_opset9.py:3963: UserWarning: Exporting aten::index operator with indices of type Byte. Only 1-D indices are supported. In any other case, this will produce an incorrect ONNX graph.
2022-05-18T03:53:16.4413736Z     "Exporting aten::index operator with indices of type Byte. "
2022-05-18T03:53:16.4413893Z 
2022-05-18T03:53:16.4414086Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_index_mask
2022-05-18T03:53:16.4414763Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:1111: UserWarning: indexing with dtype torch.uint8 is now deprecated, please use a dtype torch.bool instead. (Triggered internally at  /var/lib/jenkins/workspace/aten/src/ATen/native/IndexingUtils.h:28.)
2022-05-18T03:53:16.4415237Z     return input[torch.tensor([0, 1, 0], dtype=torch.uint8)]
2022-05-18T03:53:16.4415389Z 
2022-05-18T03:53:16.4415535Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_index_mask
2022-05-18T03:53:16.4416149Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:1111: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T03:53:16.4416699Z     return input[torch.tensor([0, 1, 0], dtype=torch.uint8)]
2022-05-18T03:53:16.4416847Z 
2022-05-18T03:53:16.4417003Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_index_mask
2022-05-18T03:53:16.4417659Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:1118: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T03:53:16.4418207Z     return input[torch.tensor([0, 1, 0], dtype=torch.bool)]
2022-05-18T03:53:16.4418341Z 
2022-05-18T03:53:16.4418525Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_index_select_constant_scaler_index
2022-05-18T03:53:16.4419156Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:4018: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T03:53:16.4419702Z     return torch.index_select(x, 1, torch.tensor(index))
2022-05-18T03:53:16.4419850Z 
2022-05-18T03:53:16.4420022Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_initializer_sequence
2022-05-18T03:53:16.4420361Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_onnx_proto_checker
2022-05-18T03:53:16.4420716Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_script_custom_class_error
2022-05-18T03:53:16.4421671Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/utils.py:56: UserWarning: You are exporting the model to ONNX while in training mode with 'train' parameter not specified. The model will default to inference mode export. If you wish to export a training amenable ONNX model, specify training=TrainingMode.TRAINING or training=TrainingMode.PRESERVE (to preserve the original model state) in torch.onnx.export().
2022-05-18T03:53:16.4422307Z     "You are exporting the model to ONNX while in training mode with "
2022-05-18T03:53:16.4422470Z 
2022-05-18T03:53:16.4422632Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_inplace_list
2022-05-18T03:53:16.4422954Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_list_pass
2022-05-18T03:53:16.4423279Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_set_
2022-05-18T03:53:16.4423619Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_symbolic_shape_inference
2022-05-18T03:53:16.4424247Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/utils.py:1522: UserWarning: No names were found for specified dynamic axes of provided input.Automatically generated names will be applied to each dynamic axes of input y
2022-05-18T03:53:16.4424676Z     key
2022-05-18T03:53:16.4424771Z 
2022-05-18T03:53:16.4424956Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_instancenorm1d_norunningstats
2022-05-18T03:53:16.4425339Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_instancenorm2d_norunningstats
2022-05-18T03:53:16.4425704Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_instancenorm3d_norunningstats
2022-05-18T03:53:16.4426083Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_instancenorm_eval_mode_train_layer
2022-05-18T03:53:16.4426793Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/symbolic_helper.py:1139: UserWarning: ONNX export mode is set to inference mode, but operator instance_norm is set to training  mode. The operators will be exported in training , as specified by the functional operator.
2022-05-18T03:53:16.4427248Z     + ", as specified by the functional operator."
2022-05-18T03:53:16.4427395Z 
2022-05-18T03:53:16.4427567Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_instancenorm1d_norunningstats
2022-05-18T03:53:16.4427946Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_instancenorm2d_norunningstats
2022-05-18T03:53:16.4428351Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_instancenorm3d_norunningstats
2022-05-18T03:53:16.4428735Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_instancenorm_eval_mode_train_layer
2022-05-18T03:53:16.4429092Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_instancenorm_training
2022-05-18T03:53:16.4429467Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_instancenorm_training_mode_fix_layer
2022-05-18T03:53:16.4430265Z   /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:2397: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T03:53:16.4430740Z     if size_prods == 1:
2022-05-18T03:53:16.4430855Z 
2022-05-18T03:53:16.4431034Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_interpolate_adaptive_pooling_error
2022-05-18T03:53:16.4431705Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/symbolic_helper.py:432: UserWarning: ONNX export failed on adaptive_avg_pool1d because output size that are not factor of input size not supported
2022-05-18T03:53:16.4432120Z     "ONNX export failed on " + op + " because " + msg + " not supported"
2022-05-18T03:53:16.4432279Z 
2022-05-18T03:53:16.4432471Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_interpolate_adaptive_pooling_error
2022-05-18T03:53:16.4433330Z   /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:3846: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T03:53:16.4433831Z     for i in range(dim)
2022-05-18T03:53:16.4433942Z 
2022-05-18T03:53:16.4434119Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_interpolate_downsample
2022-05-18T03:53:16.4434499Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_interpolate_function_substitution
2022-05-18T03:53:16.4434873Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_interpolate_upsample
2022-05-18T03:53:16.4435522Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/symbolic_helper.py:610: UserWarning: You are trying to export the model with onnx:Resize for ONNX opset version 10. This operator might cause results to not match the expected results by PyTorch.
2022-05-18T03:53:16.4436378Z   ONNX's Upsample/Resize operator did not match Pytorch's Interpolation until opset 11. Attributes to determine how to transform the input were added in onnx:Resize in opset 11 to support Pytorch's behavior (like coordinate_transformation_mode and nearest_mode).
2022-05-18T03:53:16.4436857Z   We recommend using opset 11 and above for models using this operator.
2022-05-18T03:53:16.4437136Z     "" + str(GLOBALS.export_onnx_opset_version) + ". "
2022-05-18T03:53:16.4437283Z 
2022-05-18T03:53:16.4437429Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_kldiv_loss
2022-05-18T03:53:16.4437763Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_kldiv_loss
2022-05-18T03:53:16.4438099Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_kldiv_loss
2022-05-18T03:53:16.4438431Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_kldiv_loss
2022-05-18T03:53:16.4438744Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_kldiv_loss
2022-05-18T03:53:16.4439075Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_kldiv_loss
2022-05-18T03:53:16.4439889Z   /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:2853: UserWarning: reduction: 'mean' divides the total loss by both the batch size and the support size.'batchmean' divides only by the batch size, and aligns with the KL div math definition.'mean' will be changed to behave the same as 'batchmean' in the next major release.
2022-05-18T03:53:16.4440366Z     warnings.warn(
2022-05-18T03:53:16.4440465Z 
2022-05-18T03:53:16.4440620Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_kldiv_loss
2022-05-18T03:53:16.4441389Z   /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:2854: UserWarning: reduction: 'mean' divides the total loss by both the batch size and the support size.'batchmean' divides only by the batch size, and aligns with the KL div math definition.'mean' will be changed to behave the same as 'batchmean' in the next major release.
2022-05-18T03:53:16.4442014Z     "reduction: 'mean' divides the total loss by both the batch size and the support size."
2022-05-18T03:53:16.4442195Z 
2022-05-18T03:53:16.4442356Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_kldiv_loss
2022-05-18T03:53:16.4442869Z   /opt/conda/lib/python3.7/site-packages/torch/nn/_reduction.py:42: UserWarning: size_average and reduce args will be deprecated, please use reduction='sum' instead.
2022-05-18T03:53:16.4443219Z     warnings.warn(warning.format(ret))
2022-05-18T03:53:16.4443351Z 
2022-05-18T03:53:16.4443508Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_linspace
2022-05-18T03:53:16.4444296Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2587: TracerWarning: Converting a tensor to a Python integer might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T03:53:16.4444798Z     return torch.linspace(start, end, steps)
2022-05-18T03:53:16.4444924Z 
2022-05-18T03:53:16.4445101Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_linspace_negative_start
2022-05-18T03:53:16.4445902Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2598: TracerWarning: Converting a tensor to a Python integer might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T03:53:16.4446398Z     return torch.linspace(start, end, steps)
2022-05-18T03:53:16.4446538Z 
2022-05-18T03:53:16.4446697Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_lower_tuple
2022-05-18T03:53:16.4447464Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:9174: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T03:53:16.4448022Z     if f.size(0) != input1.size(-1):
2022-05-18T03:53:16.4448147Z 
2022-05-18T03:53:16.4448308Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_lower_tuple_3
2022-05-18T03:53:16.4449097Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:9215: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T03:53:16.4449565Z     if c.shape[0] == e.shape[0]:
2022-05-18T03:53:16.4449673Z 
2022-05-18T03:53:16.4449793Z test/onnx/test_pytorch_onnx_onnxruntime.py: 60 warnings
2022-05-18T03:53:16.4450622Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/symbolic_opset9.py:3097: UserWarning: Exporting a model to ONNX with a batch_size other than 1, with a variable length with LSTM can cause an error when running the ONNX model with a different batch size. Make sure to save the model with a batch size of 1, or define the initial states (h0/c0) as inputs of the model. 
2022-05-18T03:53:16.4451173Z     + "or define the initial states (h0/c0) as inputs of the model. "
2022-05-18T03:53:16.4451328Z 
2022-05-18T03:53:16.4451500Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_lstm_proj_no_hidden
2022-05-18T03:53:16.4452020Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/symbolic_helper.py:432: UserWarning: ONNX export failed on LSTM because LSTMs with projections not supported
2022-05-18T03:53:16.4452398Z     "ONNX export failed on " + op + " because " + msg + " not supported"
2022-05-18T03:53:16.4452555Z 
2022-05-18T03:53:16.4452673Z test/onnx/test_pytorch_onnx_onnxruntime.py: 32 warnings
2022-05-18T03:53:16.4453420Z   /opt/conda/lib/python3.7/site-packages/torch/nn/modules/rnn.py:728: TracerWarning: Converting a tensor to a Python integer might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T03:53:16.4453910Z     max_batch_size = int(max_batch_size)
2022-05-18T03:53:16.4454023Z 
2022-05-18T03:53:16.4454141Z test/onnx/test_pytorch_onnx_onnxruntime.py: 32 warnings
2022-05-18T03:53:16.4455037Z   /opt/conda/lib/python3.7/site-packages/torch/nn/modules/rnn.py:677: TracerWarning: Converting a tensor to a Python integer might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T03:53:16.4455526Z     mini_batch = int(batch_sizes[0])
2022-05-18T03:53:16.4455654Z 
2022-05-18T03:53:16.4455815Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_masked_fill
2022-05-18T03:53:16.4456147Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_masked_fill_inplace
2022-05-18T03:53:16.4456972Z   /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:426: UserWarning: masked_fill_ received a mask with dtype torch.uint8, this behavior is now deprecated,please use a mask with dtype torch.bool instead. (Triggered internally at  /var/lib/jenkins/workspace/aten/src/ATen/native/TensorAdvancedIndexing.cpp:1582.)
2022-05-18T03:53:16.4457479Z     return callable(*args, **kwargs)
2022-05-18T03:53:16.4457608Z 
2022-05-18T03:53:16.4457767Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_masked_fill
2022-05-18T03:53:16.4458343Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:6890: UserWarning: masked_fill_ received a mask with dtype torch.uint8, this behavior is now deprecated,please use a mask with dtype torch.bool instead. (Triggered internally at  /var/lib/jenkins/workspace/aten/src/ATen/native/TensorAdvancedIndexing.cpp:1582.)
2022-05-18T03:53:16.4458907Z     return x.masked_fill(mask, 2)
2022-05-18T03:53:16.4459030Z 
2022-05-18T03:53:16.4459191Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_masked_fill
2022-05-18T03:53:16.4459801Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:6889: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T03:53:16.4460356Z     mask = torch.tensor([[0, 0, 1], [1, 1, 0]], dtype=torch.uint8)
2022-05-18T03:53:16.4460506Z 
2022-05-18T03:53:16.4460650Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_meshgrid
2022-05-18T03:53:16.4461411Z   /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:426: UserWarning: torch.meshgrid: in an upcoming release, it will be required to pass the indexing argument. (Triggered internally at  /var/lib/jenkins/workspace/aten/src/ATen/native/TensorShape.cpp:2904.)
2022-05-18T03:53:16.4461866Z     return callable(*args, **kwargs)
2022-05-18T03:53:16.4461992Z 
2022-05-18T03:53:16.4462148Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_one_hot
2022-05-18T03:53:16.4462926Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:4396: TracerWarning: Converting a tensor to a Python integer might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T03:53:16.4463454Z     return torch.nn.functional.one_hot(x, num_classes[0])
2022-05-18T03:53:16.4463609Z 
2022-05-18T03:53:16.4463779Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_paste_mask_in_image
2022-05-18T03:53:16.4464676Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/detection/roi_heads.py:372: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T03:53:16.4465296Z     return torch.tensor(M + 2 * padding).to(torch.float32) / torch.tensor(M).to(torch.float32)
2022-05-18T03:53:16.4465480Z 
2022-05-18T03:53:16.4465649Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_paste_mask_in_image
2022-05-18T03:53:16.4466375Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/detection/roi_heads.py:372: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor).
2022-05-18T03:53:16.4466914Z     return torch.tensor(M + 2 * padding).to(torch.float32) / torch.tensor(M).to(torch.float32)
2022-05-18T03:53:16.4467095Z 
2022-05-18T03:53:16.4467262Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_qat_maxpool2d
2022-05-18T03:53:16.4467910Z   /opt/conda/lib/python3.7/site-packages/torch/ao/quantization/observer.py:178: UserWarning: Please use quant_min and quant_max to specify the range for observers.                     reduce_range will be deprecated in a future release of PyTorch.
2022-05-18T03:53:16.4468349Z     reduce_range will be deprecated in a future release of PyTorch."
2022-05-18T03:53:16.4468513Z 
2022-05-18T03:53:16.4468674Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_qat_maxpool2d
2022-05-18T03:53:16.4469263Z   /opt/conda/lib/python3.7/site-packages/torch/ao/quantization/observer.py:1137: UserWarning: must run observer before calling calculate_qparams.                                    Returning default scale and zero point 
2022-05-18T03:53:16.4469697Z     Returning default scale and zero point "
2022-05-18T03:53:16.4469834Z 
2022-05-18T03:53:16.4469985Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_qat_maxpool2d
2022-05-18T03:53:16.4470783Z   /opt/conda/lib/python3.7/site-packages/torch/nn/quantized/modules/__init__.py:53: TracerWarning: Converting a tensor to a Python float might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T03:53:16.4471311Z     return torch.quantize_per_tensor(X, float(self.scale),
2022-05-18T03:53:16.4471463Z 
2022-05-18T03:53:16.4471696Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_qat_maxpool2d
2022-05-18T03:53:16.4472529Z   /opt/conda/lib/python3.7/site-packages/torch/nn/quantized/modules/__init__.py:54: TracerWarning: Converting a tensor to a Python integer might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T03:53:16.4473022Z     int(self.zero_point), self.dtype)
2022-05-18T03:53:16.4473152Z 
2022-05-18T03:53:16.4473320Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_repeat_interleave
2022-05-18T03:53:16.4473938Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:5447: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T03:53:16.4474455Z     repeats = torch.tensor([4])
2022-05-18T03:53:16.4474583Z 
2022-05-18T03:53:16.4474747Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_repeat_interleave
2022-05-18T03:53:16.4475355Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:5455: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T03:53:16.4475866Z     repeats = torch.tensor([1, 2])
2022-05-18T03:53:16.4475993Z 
2022-05-18T03:53:16.4476161Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_repeat_interleave
2022-05-18T03:53:16.4476764Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:5463: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T03:53:16.4477278Z     repeats = torch.tensor([1, 2])
2022-05-18T03:53:16.4477389Z 
2022-05-18T03:53:16.4477550Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_scalar_type
2022-05-18T03:53:16.4478156Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:7023: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T03:53:16.4478656Z     a = torch.tensor([12.0])
2022-05-18T03:53:16.4478774Z 
2022-05-18T03:53:16.4478943Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_slice_dynamic_to_end
2022-05-18T03:53:16.4479487Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/utils.py:1515: UserWarning: Provided key input_1 for dynamic axes is not a valid input/output name
2022-05-18T03:53:16.4479783Z     key
2022-05-18T03:53:16.4479877Z 
2022-05-18T03:53:16.4480049Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_slice_dynamic_to_end
2022-05-18T03:53:16.4480560Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/utils.py:1515: UserWarning: Provided key output_1 for dynamic axes is not a valid input/output name
2022-05-18T03:53:16.4480844Z     key
2022-05-18T03:53:16.4480937Z 
2022-05-18T03:53:16.4481105Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_split_tensor_scalar
2022-05-18T03:53:16.4481877Z   /opt/conda/lib/python3.7/site-packages/torch/_tensor.py:609: TracerWarning: Converting a tensor to a Python integer might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T03:53:16.4482350Z     split_size = int(split_size)
2022-05-18T03:53:16.4482473Z 
2022-05-18T03:53:16.4482616Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_squeeze
2022-05-18T03:53:16.4482995Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_squeeze_neg_without_no_op
2022-05-18T03:53:16.4483813Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/symbolic_opset9.py:740: UserWarning: ONNX export squeeze with negative axis -2 might cause the onnx model to be incorrect. Negative axis is not supported in ONNX. Axis is converted to 1 based on input shape at export time. Passing an tensor of different rank in execution will be incorrect.
2022-05-18T03:53:16.4484365Z     + "Passing an tensor of different rank in execution will be incorrect."
2022-05-18T03:53:16.4484534Z 
2022-05-18T03:53:16.4484678Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_squeeze
2022-05-18T03:53:16.4485031Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_squeeze_neg_without_no_op
2022-05-18T03:53:16.4485392Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_squeeze_without_no_op
2022-05-18T03:53:16.4486073Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/symbolic_opset9.py:778: UserWarning: This model contains a squeeze operation on dimension 1. If the model is intended to be used with dynamic input shapes, please use opset version 11 to export the model.
2022-05-18T03:53:16.4486575Z     + "intended to be used with dynamic input shapes, please use opset version 11 to export the model."
2022-05-18T03:53:16.4486754Z 
2022-05-18T03:53:16.4486938Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_symbolic_shape_inference_arange
2022-05-18T03:53:16.4487908Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:11538: UserWarning: __rfloordiv__ is deprecated, and its behavior will change in a future version of pytorch. It currently rounds toward 0 (like the 'trunc' function NOT 'floor'). This results in incorrect rounding for negative values. To keep the current behavior, use torch.div(a, b, rounding_mode='trunc'), or for actual floor division, use torch.div(a, b, rounding_mode='floor').
2022-05-18T03:53:16.4488510Z     subframe_step = frame_step // subframe_length
2022-05-18T03:53:16.4488652Z 
2022-05-18T03:53:16.4488836Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_symbolic_shape_inference_arange
2022-05-18T03:53:16.4489798Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:11539: UserWarning: __floordiv__ is deprecated, and its behavior will change in a future version of pytorch. It currently rounds toward 0 (like the 'trunc' function NOT 'floor'). This results in incorrect rounding for negative values. To keep the current behavior, use torch.div(a, b, rounding_mode='trunc'), or for actual floor division, use torch.div(a, b, rounding_mode='floor').
2022-05-18T03:53:16.4490429Z     subframes_per_frame = frame_length // subframe_length
2022-05-18T03:53:16.4490577Z 
2022-05-18T03:53:16.4490758Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_symbolic_shape_inference_arange
2022-05-18T03:53:16.4491735Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:11541: UserWarning: __floordiv__ is deprecated, and its behavior will change in a future version of pytorch. It currently rounds toward 0 (like the 'trunc' function NOT 'floor'). This results in incorrect rounding for negative values. To keep the current behavior, use torch.div(a, b, rounding_mode='trunc'), or for actual floor division, use torch.div(a, b, rounding_mode='floor').
2022-05-18T03:53:16.4492343Z     output_subframes = output_size // subframe_length
2022-05-18T03:53:16.4492487Z 
2022-05-18T03:53:16.4492671Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_symbolic_shape_inference_slice
2022-05-18T03:53:16.4493313Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/utils.py:1522: UserWarning: No names were found for specified dynamic axes of provided input.Automatically generated names will be applied to each dynamic axes of input position_bias
2022-05-18T03:53:16.4493698Z     key
2022-05-18T03:53:16.4493794Z 
2022-05-18T03:53:16.4494002Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_tensor_index_advanced_indexing
2022-05-18T03:53:16.4494395Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_tensor_index_advanced_indexing_consecutive
2022-05-18T03:53:16.4494922Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_tensor_index_advanced_indexing_ellipsis
2022-05-18T03:53:16.4495831Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/symbolic_opset9.py:4017: UserWarning: Exporting aten::index operator of advanced indexing in opset 10 is achieved by combination of multiple ONNX operators, including Reshape, Transpose, Concat, and Gather. If indices include negative values, the exported graph will produce incorrect results.
2022-05-18T03:53:16.4496416Z     + "If indices include negative values, the exported graph will produce incorrect results."
2022-05-18T03:53:16.4496604Z 
2022-05-18T03:53:16.4496789Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_tensor_index_advanced_indexing
2022-05-18T03:53:16.4497419Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2784: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T03:53:16.4497935Z     torch.tensor([[0, 2], [1, 1]]),
2022-05-18T03:53:16.4498044Z 
2022-05-18T03:53:16.4498224Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_tensor_index_advanced_indexing
2022-05-18T03:53:16.4498850Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2786: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T03:53:16.4499358Z     torch.tensor([2, 1]),
2022-05-18T03:53:16.4499473Z 
2022-05-18T03:53:16.4499655Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_tensor_index_advanced_indexing
2022-05-18T03:53:16.4500271Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2787: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T03:53:16.4500778Z     torch.tensor([0, 3]),
2022-05-18T03:53:16.4500976Z 
2022-05-18T03:53:16.4501155Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_tensor_index_advanced_indexing
2022-05-18T03:53:16.4501778Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2796: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T03:53:16.4502331Z     :, torch.tensor([0, 2]), None, 2:4, torch.tensor([[1, 3], [4, 0]])
2022-05-18T03:53:16.4502479Z 
2022-05-18T03:53:16.4502644Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_tensor_index_advanced_indexing
2022-05-18T03:53:16.4503260Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2805: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T03:53:16.4503761Z     torch.tensor([0, 2]),
2022-05-18T03:53:16.4503944Z 
2022-05-18T03:53:16.4504123Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_tensor_index_advanced_indexing
2022-05-18T03:53:16.4504737Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2806: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T03:53:16.4505226Z     torch.tensor([1]),
2022-05-18T03:53:16.4505342Z 
2022-05-18T03:53:16.4505519Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_tensor_index_advanced_indexing
2022-05-18T03:53:16.4506151Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2808: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T03:53:16.4506665Z     torch.tensor([[1], [4]]),
2022-05-18T03:53:16.4506782Z 
2022-05-18T03:53:16.4506977Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_tensor_index_advanced_indexing_consecutive
2022-05-18T03:53:16.4507600Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2817: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T03:53:16.4508141Z     :, torch.tensor([0, 2]), torch.tensor([[1, 3], [4, 0]]), None
2022-05-18T03:53:16.4508283Z 
2022-05-18T03:53:16.4508477Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_tensor_index_advanced_indexing_ellipsis
2022-05-18T03:53:16.4509102Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2774: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T03:53:16.4509642Z     return input[..., torch.tensor([2, 1]), torch.tensor([0, 3])]
2022-05-18T03:53:16.4509793Z 
2022-05-18T03:53:16.4509942Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_topk_int32_k
2022-05-18T03:53:16.4510781Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:4060: TracerWarning: Converting a tensor to a Python integer might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T03:53:16.4511265Z     return torch.topk(x, k)
2022-05-18T03:53:16.4511385Z 
2022-05-18T03:53:16.4511609Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_trace_script
2022-05-18T03:53:16.4512225Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:8284: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T03:53:16.4512846Z     return center_slice_helper(input, torch.tensor(input.shape[1] - 1))
2022-05-18T03:53:16.4513017Z 
2022-05-18T03:53:16.4513177Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_trace_script
2022-05-18T03:53:16.4513744Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:8284: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor).
2022-05-18T03:53:16.4514303Z     return center_slice_helper(input, torch.tensor(input.shape[1] - 1))
2022-05-18T03:53:16.4514470Z 
2022-05-18T03:53:16.4514629Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_transformer_encoder
2022-05-18T03:53:16.4515421Z   /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:4995: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T03:53:16.4515924Z     assert embed_dim == embed_dim_to_check, \
2022-05-18T03:53:16.4516060Z 
2022-05-18T03:53:16.4516231Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_transformer_encoder
2022-05-18T03:53:16.4517016Z   /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:5002: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T03:53:16.4517563Z     assert head_dim * num_heads == embed_dim, f"embed_dim {embed_dim} not divisible by num_heads {num_heads}"
2022-05-18T03:53:16.4517756Z 
2022-05-18T03:53:16.4517923Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_transformer_encoder
2022-05-18T03:53:16.4518708Z   /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:5008: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T03:53:16.4519276Z     assert key.shape == value.shape, f"key shape {key.shape} does not match value shape {value.shape}"
2022-05-18T03:53:16.4519471Z 
2022-05-18T03:53:16.4519641Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_transformer_encoder
2022-05-18T03:53:16.4520407Z   /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:4798: TracerWarning: Converting a tensor to a Python float might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T03:53:16.4520876Z     q = q / math.sqrt(E)
2022-05-18T03:53:16.4521026Z 
2022-05-18T03:53:16.4521184Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_type_as
2022-05-18T03:53:16.4521798Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:7739: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T03:53:16.4522313Z     y = torch.tensor([1.0])
2022-05-18T03:53:16.4522418Z 
2022-05-18T03:53:16.4522573Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_unsqueeze
2022-05-18T03:53:16.4523390Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/symbolic_opset9.py:2733: UserWarning: ONNX export unsqueeze with negative axis -2 might cause the onnx model to be incorrect. Negative axis is not supported in ONNX. Axis is converted to 2 based on input shape at export time. Passing an tensor of different rank in execution will be incorrect.
2022-05-18T03:53:16.4523951Z     + "Passing an tensor of different rank in execution will be incorrect."
2022-05-18T03:53:16.4524120Z 
2022-05-18T03:53:16.4524310Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_view_dynamic
2022-05-18T03:53:16.4524928Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/utils.py:1522: UserWarning: No names were found for specified dynamic axes of provided input.Automatically generated names will be applied to each dynamic axes of input shape
2022-05-18T03:53:16.4525303Z     key
2022-05-18T03:53:16.4525396Z 
2022-05-18T03:53:16.4525570Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset10::test_where_with_byte_tensor
2022-05-18T03:53:16.4526387Z   /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:426: UserWarning: where received a uint8 condition tensor. This behavior is deprecated and will be removed in a future version of PyTorch. Use a boolean condition instead. (Triggered internally at  /var/lib/jenkins/workspace/aten/src/ATen/native/TensorCompare.cpp:402.)
2022-05-18T03:53:16.4526905Z     return callable(*args, **kwargs)
2022-05-18T03:53:16.4527019Z 
2022-05-18T03:53:16.4527253Z -- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html
2022-05-18T03:53:16.4527440Z 
2022-05-18T03:53:16.4527641Z ---------- coverage: platform linux, python 3.7.13-final-0 -----------
2022-05-18T03:53:16.4527916Z Coverage XML written to file test/coverage.xml
2022-05-18T03:53:16.4528058Z 
2022-05-18T03:53:16.4528194Z =========================== short test summary info ============================
2022-05-18T03:53:16.4528473Z SKIPPED [7] test/onnx/test_pytorch_common.py:98: Unsupported opset_version: 10 < 15
2022-05-18T03:53:16.4528799Z SKIPPED [3] test/onnx/test_pytorch_common.py:53: Unsupported opset_version: 10 < 15
2022-05-18T03:53:16.4529122Z SKIPPED [103] test/onnx/test_pytorch_common.py:53: Unsupported opset_version: 10 < 11
2022-05-18T03:53:16.4529434Z SKIPPED [25] test/onnx/test_pytorch_common.py:53: Unsupported opset_version: 10 < 12
2022-05-18T03:53:16.4529759Z SKIPPED [6] test/onnx/test_pytorch_common.py:98: Unsupported opset_version: 10 < 11
2022-05-18T03:53:16.4530082Z SKIPPED [29] test/onnx/test_pytorch_common.py:53: Unsupported opset_version: 10 < 13
2022-05-18T03:53:16.4530403Z SKIPPED [1] test/onnx/test_pytorch_common.py:53: Unsupported opset_version: 10 < 16
2022-05-18T03:53:16.4530704Z SKIPPED [8] test/onnx/test_pytorch_common.py:53: Unsupported opset_version: 10 < 14
2022-05-18T03:53:16.4531023Z SKIPPED [1] test/onnx/test_pytorch_common.py:68: Unsupported opset_version: 10 > 8
2022-05-18T03:53:16.4531381Z SKIPPED [1] test/onnx/test_pytorch_common.py:53: Failing, see https://github.com/pytorch/pytorch/issues/66528
2022-05-18T03:53:16.4531796Z SKIPPED [1] test/onnx/test_pytorch_common.py:53: Unstable loading pretrained quantized mobilenet v3: https://github.com/pytorch/vision/issues/5303
2022-05-18T03:53:16.4532220Z SKIPPED [3] test/onnx/test_pytorch_common.py:68: Unsupported opset_version: 10 < 11
2022-05-18T03:53:16.4532618Z SKIPPED [1] test/onnx/test_pytorch_common.py:53: Bug in ORT, skip test until rel-1.11.
2022-05-18T03:53:16.4532943Z SKIPPED [1] test/onnx/test_pytorch_common.py:112: Unsupported opset_version: 10 < 11
2022-05-18T03:53:16.4533365Z ========= 615 passed, 190 skipped, 1469 warnings in 201.95s (0:03:21) ==========
2022-05-18T03:53:16.7935535Z + for i in '$(seq 10 16)'
2022-05-18T03:53:16.7936230Z + pytest -v --cov --cov-report xml:test/coverage.xml --cov-append /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11
2022-05-18T03:53:17.0485376Z ============================= test session starts ==============================
2022-05-18T03:53:17.0485822Z platform linux -- Python 3.7.13, pytest-7.1.2, pluggy-1.0.0 -- /opt/conda/bin/python
2022-05-18T03:53:17.0554604Z cachedir: .pytest_cache
2022-05-18T03:53:17.0555084Z rootdir: /var/lib/jenkins/workspace, configfile: pytest.ini
2022-05-18T03:53:17.0555516Z plugins: hypothesis-3.44.6, cov-3.0.0
2022-05-18T03:53:17.9325757Z collecting ... 
2022-05-18T03:53:18.0533098Z collecting 0 items                                                             
2022-05-18T03:53:18.0533469Z collected 805 items                                                            
2022-05-18T03:53:18.0541932Z 
2022-05-18T03:53:18.1813810Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test__dim_arange PASSED [  0%]
2022-05-18T03:53:18.1913364Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_add_inplace Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'x.1'. This changes graph semantics.
2022-05-18T03:53:18.2068605Z Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: '0'. This changes graph semantics.
2022-05-18T03:53:18.2232065Z PASSED [  0%]
2022-05-18T03:53:18.2653543Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_addcmul PASSED [  0%]
2022-05-18T03:53:18.3485461Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_all PASSED [  0%]
2022-05-18T03:53:18.3510051Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_all_optional_default_none SKIPPED [  0%]
2022-05-18T03:53:18.3531637Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_all_optional_default_tensor SKIPPED [  0%]
2022-05-18T03:53:18.3553114Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_all_optional_default_tensor_script SKIPPED [  0%]
2022-05-18T03:53:18.4015046Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_amax_amin PASSED [  0%]
2022-05-18T03:53:18.4622263Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_aminmax PASSED [  1%]
2022-05-18T03:53:18.5133250Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_and_or_xor PASSED [  1%]
2022-05-18T03:53:18.6348435Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_any PASSED [  1%]
2022-05-18T03:53:18.7741778Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_arange_dynamic PASSED [  1%]
2022-05-18T03:53:18.8778014Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_arange_end PASSED [  1%]
2022-05-18T03:53:19.0031886Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_arange_end_notype PASSED [  1%]
2022-05-18T03:53:19.0635191Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_arange_no_type PASSED [  1%]
2022-05-18T03:53:19.1201823Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_arange_out PASSED [  1%]
2022-05-18T03:53:19.2438761Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_arange_start_end PASSED [  2%]
2022-05-18T03:53:19.3664257Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_arange_start_end_notype PASSED [  2%]
2022-05-18T03:53:19.5141684Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_arange_start_end_step PASSED [  2%]
2022-05-18T03:53:19.6622817Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_arange_start_end_step_notype PASSED [  2%]
2022-05-18T03:53:19.8051681Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_arange_start_out PASSED [  2%]
2022-05-18T03:53:20.1365408Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_arange_with_floats PASSED [  2%]
2022-05-18T03:53:20.3336598Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_arange_with_floats_out PASSED [  2%]
2022-05-18T03:53:20.4764903Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_arange_with_floats_override PASSED [  2%]
2022-05-18T03:53:20.5458209Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_argmin_argmax PASSED [  3%]
2022-05-18T03:53:20.5482739Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_argmin_argmax_select_last_index SKIPPED [  3%]
2022-05-18T03:53:20.6469659Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_arithmetic PASSED [  3%]
2022-05-18T03:53:21.1902023Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_arithmeticOps_with_low_precision PASSED [  3%]
2022-05-18T03:53:21.2571688Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_arithmetic_infer_dtype PASSED [  3%]
2022-05-18T03:53:21.3687267Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_arithmetic_prim_bool PASSED [  3%]
2022-05-18T03:53:21.5373309Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_arithmetic_prim_float PASSED [  3%]
2022-05-18T03:53:21.6907077Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_arithmetic_prim_long PASSED [  3%]
2022-05-18T03:53:21.7610582Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_as_strided PASSED [  4%]
2022-05-18T03:53:21.7750637Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_auto_grad PASSED [  4%]
2022-05-18T03:53:21.8364172Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_avgpool PASSED [  4%]
2022-05-18T03:53:21.8931486Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_avgpool_1d_ceil PASSED [  4%]
2022-05-18T03:53:21.9642927Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_avgpool_2d_ceil PASSED [  4%]
2022-05-18T03:53:22.9982050Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_avgpool_3d_ceil PASSED [  4%]
2022-05-18T03:53:23.0555301Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_avgpool_default_stride PASSED [  4%]
2022-05-18T03:53:23.0941877Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_baddbmm PASSED [  4%]
2022-05-18T03:53:23.1231075Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_baddbmm_dynamic PASSED [  5%]
2022-05-18T03:53:23.3154727Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_batched_nms PASSED [  5%]
2022-05-18T03:53:23.4260311Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_batchnorm1d PASSED [  5%]
2022-05-18T03:53:23.5382650Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_batchnorm1d_noaffine PASSED [  5%]
2022-05-18T03:53:23.7148905Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_batchnorm1d_norunningstats PASSED [  5%]
2022-05-18T03:53:23.7943685Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_batchnorm2d PASSED [  5%]
2022-05-18T03:53:23.8741340Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_batchnorm2d_noaffine PASSED [  5%]
2022-05-18T03:53:23.9905023Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_batchnorm2d_norunningstats PASSED [  5%]
2022-05-18T03:53:27.7692462Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_batchnorm3d PASSED [  6%]
2022-05-18T03:53:31.5527828Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_batchnorm3d_noaffine PASSED [  6%]
2022-05-18T03:53:32.1409783Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_batchnorm_eval_mode_train_layer PASSED [  6%]
2022-05-18T03:53:32.3415418Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_batchnorm_training Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'bn1.num_batches_tracked'. This changes graph semantics.
2022-05-18T03:53:32.3416633Z Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'bn2.num_batches_tracked'. This changes graph semantics.
2022-05-18T03:53:32.3417602Z Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'bn3.num_batches_tracked'. This changes graph semantics.
2022-05-18T03:53:32.6294609Z Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'bn1.num_batches_tracked'. This changes graph semantics.
2022-05-18T03:53:32.6295715Z Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'bn2.num_batches_tracked'. This changes graph semantics.
2022-05-18T03:53:32.6296700Z Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'bn3.num_batches_tracked'. This changes graph semantics.
2022-05-18T03:53:32.7330655Z PASSED [  6%]
2022-05-18T03:53:33.0032893Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_batchnorm_training_mode_fix_layer Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'bn1.num_batches_tracked'. This changes graph semantics.
2022-05-18T03:53:33.0034529Z Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'bn2.num_batches_tracked'. This changes graph semantics.
2022-05-18T03:53:33.0035794Z Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'bn3.num_batches_tracked'. This changes graph semantics.
2022-05-18T03:53:33.3783676Z Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'bn1.num_batches_tracked'. This changes graph semantics.
2022-05-18T03:53:33.3784714Z Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'bn2.num_batches_tracked'. This changes graph semantics.
2022-05-18T03:53:33.3785685Z Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'bn3.num_batches_tracked'. This changes graph semantics.
2022-05-18T03:53:33.5015733Z PASSED [  6%]
2022-05-18T03:53:33.5853679Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_bernoulli PASSED [  6%]
2022-05-18T03:53:33.5878483Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_binary_cross_entropy_with_logits SKIPPED [  6%]
2022-05-18T03:53:33.6581732Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_bitshift PASSED [  6%]
2022-05-18T03:53:33.7201296Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_bitshift_uint8 PASSED [  7%]
2022-05-18T03:53:33.8135334Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_broad_cast_tensors PASSED [  7%]
2022-05-18T03:53:33.8731748Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_bucketize PASSED [  7%]
2022-05-18T03:53:33.8963666Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_cast_to PASSED [  7%]
2022-05-18T03:53:33.9491634Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_cast_to_bool PASSED [  7%]
2022-05-18T03:53:33.9513838Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_cast_type_as_with_bfloat16 SKIPPED [  7%]
2022-05-18T03:53:33.9941263Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_cdist PASSED [  7%]
2022-05-18T03:53:33.9963568Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_celu SKIPPED [  7%]
2022-05-18T03:53:33.9985050Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_celu_alpha SKIPPED [  8%]
2022-05-18T03:53:34.0005824Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_celu_cast SKIPPED [  8%]
2022-05-18T03:53:34.0026864Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_celu_default SKIPPED [  8%]
2022-05-18T03:53:34.2067571Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_chunk PASSED [  8%]
2022-05-18T03:53:34.2533799Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_clamp WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:53:34.2537058Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:53:34.2545253Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:53:34.2648998Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:53:34.2652325Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:53:34.2655254Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:53:34.2827719Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:53:34.2830752Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:53:34.2839323Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:53:34.2943186Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:53:34.2946377Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:53:34.2949272Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:53:34.2976721Z PASSED [  8%]
2022-05-18T03:53:34.3155420Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_clamp_dyn WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:53:34.3157966Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:53:34.3166714Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:53:34.3350455Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:53:34.3353730Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:53:34.3362361Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:53:34.4329839Z PASSED [  8%]
2022-05-18T03:53:34.5622483Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_clip_boxes_to_image PASSED [  8%]
2022-05-18T03:53:34.5977651Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_clip_int PASSED [  8%]
2022-05-18T03:53:34.6315599Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_concat PASSED [  9%]
2022-05-18T03:53:34.6509060Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_concat_dynamic PASSED [  9%]
2022-05-18T03:53:34.6705340Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_constant_pad Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T03:53:34.6722847Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T03:53:34.6738604Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T03:53:34.6909953Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T03:53:34.6927027Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T03:53:34.6937743Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T03:53:34.7153763Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T03:53:34.7171014Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T03:53:34.7187601Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T03:53:34.7357931Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T03:53:34.7374400Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T03:53:34.7384148Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T03:53:34.7428845Z PASSED [  9%]
2022-05-18T03:53:37.3700359Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_conv PASSED [  9%]
2022-05-18T03:53:37.6099365Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_conv_bn Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'bn.num_batches_tracked'. This changes graph semantics.
2022-05-18T03:53:37.6627668Z PASSED [  9%]
2022-05-18T03:53:37.8416983Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_conv_shape_inference PASSED [  9%]
2022-05-18T03:53:37.8838345Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_conv_tbc PASSED [  9%]
2022-05-18T03:54:00.0738336Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_conv_transpose PASSED [  9%]
2022-05-18T03:54:00.2272710Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_convolution_allow_tf32 PASSED [ 10%]
2022-05-18T03:54:01.4096462Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_copy_ PASSED [ 10%]
2022-05-18T03:54:01.8949331Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_copy_ellipsis PASSED [ 10%]
2022-05-18T03:54:02.1860529Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_copy_ellipsis_script PASSED [ 10%]
2022-05-18T03:54:02.2717936Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_copy_tracing PASSED [ 10%]
2022-05-18T03:54:02.3077451Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_cosine_similarity PASSED [ 10%]
2022-05-18T03:54:02.3825034Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_cross PASSED [ 10%]
2022-05-18T03:54:02.3848191Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_crossentropyloss SKIPPED [ 10%]
2022-05-18T03:54:02.4548426Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_cste_script PASSED [ 11%]
2022-05-18T03:54:02.4854244Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_cumsum PASSED [ 11%]
2022-05-18T03:54:02.5456338Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_cumsum_with_cast PASSED [ 11%]
2022-05-18T03:54:02.5804040Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_data PASSED [ 11%]
2022-05-18T03:54:02.6141388Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_dequantize PASSED [ 11%]
2022-05-18T03:54:02.7989960Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_derive_index PASSED [ 11%]
2022-05-18T03:54:02.8121437Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_derive_index_scripting Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'j.11'. This changes graph semantics.
2022-05-18T03:54:02.9248258Z Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'j.11'. This changes graph semantics.
2022-05-18T03:54:03.0392923Z Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'j.11'. This changes graph semantics.
2022-05-18T03:54:03.1309368Z Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'j.11'. This changes graph semantics.
2022-05-18T03:54:03.2124597Z PASSED [ 11%]
2022-05-18T03:54:03.2381205Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_det PASSED [ 11%]
2022-05-18T03:54:03.2656536Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_device_eq PASSED [ 12%]
2022-05-18T03:54:03.2678729Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_diagonal SKIPPED [ 12%]
2022-05-18T03:54:03.2782427Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_dict PASSED [ 12%]
2022-05-18T03:54:03.2853103Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_dict_output PASSED [ 12%]
2022-05-18T03:54:03.2980489Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_dict_str PASSED [ 12%]
2022-05-18T03:54:03.3358485Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_dim PASSED [ 12%]
2022-05-18T03:54:03.4338892Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_dim_1 PASSED [ 12%]
2022-05-18T03:54:03.6075804Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_dist_normal PASSED [ 12%]
2022-05-18T03:54:03.6593709Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_dist_normal_correctness PASSED [ 13%]
2022-05-18T03:54:03.8257731Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_dist_uniform PASSED [ 13%]
2022-05-18T03:54:03.8765541Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_dist_uniform_correctness PASSED [ 13%]
2022-05-18T03:54:03.9307938Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_div PASSED [ 13%]
2022-05-18T03:54:04.0150502Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_div_promotion_script PASSED [ 13%]
2022-05-18T03:54:04.0530813Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_div_promotion_trace PASSED [ 13%]
2022-05-18T03:54:04.5139295Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_div_rounding_mode PASSED [ 13%]
2022-05-18T03:54:04.5528822Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_dot PASSED [ 13%]
2022-05-18T03:54:04.5909715Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_dropout PASSED [ 14%]
2022-05-18T03:54:04.5932545Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_dropout_training SKIPPED [ 14%]
2022-05-18T03:54:04.5953953Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_dropout_training_zero SKIPPED [ 14%]
2022-05-18T03:54:04.6212552Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_dtype PASSED [ 14%]
2022-05-18T03:54:04.6480488Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_dtype_eq PASSED [ 14%]
2022-05-18T03:54:04.7046931Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_dynamic_arange_out PASSED [ 14%]
2022-05-18T03:54:04.8463984Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_dynamic_arange_start_out PASSED [ 14%]
2022-05-18T03:54:05.1390825Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_dynamic_chunk PASSED [ 14%]
2022-05-18T03:54:05.5769827Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_dynamic_expand_as PASSED [ 15%]
2022-05-18T03:54:05.5794932Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_dynamic_repeat_interleave SKIPPED [ 15%]
2022-05-18T03:54:05.5816807Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_einsum SKIPPED [ 15%]
2022-05-18T03:54:05.6197786Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_elman_relu_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:05.6199259Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:05.6572650Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:05.6573183Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:05.7103571Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:05.7104334Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:05.7477808Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:05.7478333Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:05.7658841Z PASSED [ 15%]
2022-05-18T03:54:05.8034061Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_elman_relu_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:05.8034794Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:05.8410263Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:05.8410801Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:05.8931076Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:05.8931659Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:05.9303985Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:05.9304540Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:05.9482934Z PASSED [ 15%]
2022-05-18T03:54:05.9856981Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_elman_relu_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:05.9857896Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:06.0233445Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:06.0233975Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:06.0748950Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:06.0749507Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:06.1123758Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:06.1124535Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:06.1299835Z PASSED [ 15%]
2022-05-18T03:54:06.1675075Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_elman_relu_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:06.1675783Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:06.2053401Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:06.2053968Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:06.2564527Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:06.2565240Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:06.2940956Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:06.2941734Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:06.3114356Z PASSED [ 15%]
2022-05-18T03:54:06.3695540Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_elman_relu_trilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:06.3768348Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:06.3829660Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:06.4468261Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:06.4542504Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:06.4603825Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:06.4696971Z PASSED [ 15%]
2022-05-18T03:54:06.5277057Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_elman_relu_trilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:06.5350101Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:06.5411622Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:06.6048244Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:06.6120837Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:06.6182267Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:06.6275047Z PASSED [ 16%]
2022-05-18T03:54:06.6646014Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_elman_relu_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:06.6646736Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:06.6994949Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:06.6995666Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:06.7462743Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:06.7463414Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:06.7809123Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:06.7809858Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:06.7944140Z PASSED [ 16%]
2022-05-18T03:54:06.8315917Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_elman_relu_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:06.8316637Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:06.8661986Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:06.8662643Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:06.9137145Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:06.9137707Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:06.9482991Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:06.9620655Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:06.9621172Z PASSED [ 16%]
2022-05-18T03:54:06.9990335Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_elman_relu_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:06.9991044Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:07.0339116Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:07.0339791Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:07.0805187Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:07.0805980Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:07.1151861Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:07.1152600Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:07.1282895Z PASSED [ 16%]
2022-05-18T03:54:07.1654360Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_elman_relu_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:07.1655424Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:07.2001907Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:07.2002620Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:07.2467776Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:07.2468497Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:07.2817020Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:07.2817653Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:07.2949255Z PASSED [ 16%]
2022-05-18T03:54:07.3285845Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_elman_relu_trilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:07.3351766Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:07.3396863Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:07.3771034Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:07.3836874Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:07.3881753Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:07.3953455Z PASSED [ 16%]
2022-05-18T03:54:07.4288112Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_elman_relu_trilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:07.4354125Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:07.4398907Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:07.4776038Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:07.4841870Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:07.4886772Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:07.4960414Z PASSED [ 16%]
2022-05-18T03:54:07.5298105Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_elman_relu_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:07.5298900Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:07.5638637Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:07.5639175Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:07.6084130Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:07.6084840Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:07.6424039Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:07.6424793Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:07.6564316Z PASSED [ 16%]
2022-05-18T03:54:07.6899192Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_elman_relu_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:07.6899960Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:07.7235653Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:07.7236162Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:07.7680004Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:07.7680601Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:07.8018043Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:07.8018842Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:07.8159007Z PASSED [ 17%]
2022-05-18T03:54:07.8494394Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_elman_relu_trilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:07.8495239Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:07.8832999Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:07.8833512Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:07.9268850Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:07.9269388Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:07.9611031Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:07.9611547Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:07.9746245Z PASSED [ 17%]
2022-05-18T03:54:08.0080222Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_elman_relu_trilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:08.0080982Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:08.0418101Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:08.0418642Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:08.0856466Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:08.0857012Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:08.1192717Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:08.1193311Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:08.1326222Z PASSED [ 17%]
2022-05-18T03:54:08.1868470Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_elman_relu_trilayer_forward_no_initial_state_without_sequence_lengths_with_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:08.1905675Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:08.1940881Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:08.2529775Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:08.2567817Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:08.2603256Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:08.2684934Z PASSED [ 17%]
2022-05-18T03:54:08.3225250Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_elman_relu_trilayer_forward_no_initial_state_without_sequence_lengths_without_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:08.3261781Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:08.3297163Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:08.3887622Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:08.3923950Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:08.3959809Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:08.4042527Z PASSED [ 17%]
2022-05-18T03:54:08.4373529Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_elman_relu_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:08.4374416Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:08.4686529Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:08.4687255Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:08.5085360Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:08.5086156Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:08.5398471Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:08.5398988Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:08.5499373Z PASSED [ 17%]
2022-05-18T03:54:08.5829067Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_elman_relu_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:08.5829839Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:08.6144068Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:08.6144636Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:08.6546351Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:08.6547062Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:08.6860689Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:08.6861413Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:08.6963771Z PASSED [ 17%]
2022-05-18T03:54:08.7293664Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_elman_relu_trilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:08.7294380Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:08.7607514Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:08.7608295Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:08.8001496Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:08.8002210Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:08.8317517Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:08.8318313Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:08.8413864Z PASSED [ 17%]
2022-05-18T03:54:08.8741024Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_elman_relu_trilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:08.8741799Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:08.9054793Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:08.9055837Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:08.9448842Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:08.9449525Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:08.9762733Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:08.9763471Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:08.9861193Z PASSED [ 18%]
2022-05-18T03:54:09.0159009Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_elman_relu_trilayer_forward_with_initial_state_without_sequence_lengths_with_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:09.0192871Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:09.0215472Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:09.0545052Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:09.0578959Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:09.0601581Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:09.0665397Z PASSED [ 18%]
2022-05-18T03:54:09.0962420Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_elman_relu_trilayer_forward_with_initial_state_without_sequence_lengths_without_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:09.0996201Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:09.1018496Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:09.1344990Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:09.1378785Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:09.1401085Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:09.1462913Z PASSED [ 18%]
2022-05-18T03:54:09.1785679Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_elman_relu_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:09.1786383Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:09.2106517Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:09.2107041Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:09.2481004Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:09.2481567Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:09.2803629Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:09.2804197Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:09.2886208Z PASSED [ 18%]
2022-05-18T03:54:09.3207816Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_elman_relu_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:09.3208534Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:09.3529503Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:09.3530102Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:09.3902717Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:09.3903446Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:09.4223555Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:09.4224140Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:09.4306876Z PASSED [ 18%]
2022-05-18T03:54:09.4627683Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_elman_relu_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:09.4628565Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:09.4952968Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:09.4953532Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:09.5321201Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:09.5321745Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:09.5641740Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:09.5642286Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:09.5720329Z PASSED [ 18%]
2022-05-18T03:54:09.6042311Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_elman_relu_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:09.6043049Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:09.6362944Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:09.6732762Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:09.6733341Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:09.6733863Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:09.7053017Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:09.7053682Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:09.7130905Z PASSED [ 18%]
2022-05-18T03:54:09.7656940Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_elman_relu_unilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:09.7675703Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:09.7693585Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:09.8242006Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:09.8260802Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:09.8278996Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:09.8330362Z PASSED [ 18%]
2022-05-18T03:54:09.8860829Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_elman_relu_unilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:09.8880331Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:09.8899101Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:09.9452865Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:09.9472316Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:09.9490431Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:09.9543598Z PASSED [ 19%]
2022-05-18T03:54:09.9864172Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_elman_relu_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:09.9864879Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:10.0163873Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:10.0164614Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:10.0519891Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:10.0520408Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:10.0820334Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:10.0820875Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:10.0888972Z PASSED [ 19%]
2022-05-18T03:54:10.1207932Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_elman_relu_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:10.1208654Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:10.1504875Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:10.1505443Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:10.1856586Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:10.1857130Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:10.2154589Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:10.2155100Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:10.2223425Z PASSED [ 19%]
2022-05-18T03:54:10.2540829Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_elman_relu_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:10.2541540Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:10.2838802Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:10.2839342Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:10.3185623Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:10.3186162Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:10.3483727Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:10.3484284Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:10.3545856Z PASSED [ 19%]
2022-05-18T03:54:10.3861979Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_elman_relu_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:10.3862702Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:10.4159269Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:10.4159877Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:10.4503948Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:10.4504507Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:10.4802070Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:10.4802594Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:10.4863399Z PASSED [ 19%]
2022-05-18T03:54:10.5147481Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_elman_relu_unilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:10.5165105Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:10.5178254Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:10.5469941Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:10.5487835Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:10.5501314Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:10.5539292Z PASSED [ 19%]
2022-05-18T03:54:10.5821471Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_elman_relu_unilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:10.5841437Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:10.5854888Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:10.6144218Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:10.6162027Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:10.6174394Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:10.6211763Z PASSED [ 19%]
2022-05-18T03:54:10.6518144Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_elman_relu_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:10.6518862Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:10.6828525Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:10.6829148Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:10.7176224Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:10.7176841Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:10.7485141Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:10.7485837Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:10.7557801Z PASSED [ 19%]
2022-05-18T03:54:10.7865309Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_elman_relu_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:10.7866016Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:10.8174810Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:10.8175515Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:10.8522280Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:10.8522825Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:10.8835639Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:10.8836388Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:10.8908077Z PASSED [ 20%]
2022-05-18T03:54:10.9215923Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_elman_relu_unilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:10.9216639Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:10.9529312Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:10.9529859Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:10.9873261Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:10.9873783Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:11.0183086Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:11.0183621Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:11.0252109Z PASSED [ 20%]
2022-05-18T03:54:11.0558835Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_elman_relu_unilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:11.0559597Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:11.0868920Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:11.0869678Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:11.1217481Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:11.1218019Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:11.1534186Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:11.1534931Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:11.1605829Z PASSED [ 20%]
2022-05-18T03:54:11.2120900Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_elman_relu_unilayer_forward_no_initial_state_without_sequence_lengths_with_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:11.2129882Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:11.2141766Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:11.2673340Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:11.2682579Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:11.2694736Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:11.2744566Z PASSED [ 20%]
2022-05-18T03:54:11.3257485Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_elman_relu_unilayer_forward_no_initial_state_without_sequence_lengths_without_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:11.3267417Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:11.3279793Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:11.3809583Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:11.3819070Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:11.3830071Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:11.3876601Z PASSED [ 20%]
2022-05-18T03:54:11.4180176Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_elman_relu_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:11.4181176Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:11.4471401Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:11.4471928Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:11.4809248Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:11.4810011Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:11.5096971Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:11.5097497Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:11.5155232Z PASSED [ 20%]
2022-05-18T03:54:11.5459998Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_elman_relu_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:11.5460723Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:11.5747272Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:11.5747828Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:11.6078412Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:11.6079025Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:11.6365511Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:11.6366117Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:11.6423365Z PASSED [ 20%]
2022-05-18T03:54:11.6726371Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_elman_relu_unilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:11.6727284Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:11.7015629Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:11.7016153Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:11.7336828Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:11.7337356Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:11.7624001Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:11.7624766Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:11.7673960Z PASSED [ 20%]
2022-05-18T03:54:11.7975239Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_elman_relu_unilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:11.7975946Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:11.8260987Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:11.8261530Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:11.8580524Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:11.8581050Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:11.8868290Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:11.8868825Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:11.8918236Z PASSED [ 20%]
2022-05-18T03:54:11.9187274Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_elman_relu_unilayer_forward_with_initial_state_without_sequence_lengths_with_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:11.9195414Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:11.9202311Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:11.9476109Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:11.9483767Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:11.9490653Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:11.9525813Z PASSED [ 21%]
2022-05-18T03:54:11.9793549Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_elman_relu_unilayer_forward_with_initial_state_without_sequence_lengths_without_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:11.9801546Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:11.9808542Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:12.0084160Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:12.0092310Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:12.0099229Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:12.0133800Z PASSED [ 21%]
2022-05-18T03:54:12.0510299Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_elman_tanh_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:12.0511065Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:12.0892351Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:12.0892893Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:12.1416900Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:12.1417470Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:12.1792543Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:12.1793200Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:12.1974994Z PASSED [ 21%]
2022-05-18T03:54:12.2353374Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_elman_tanh_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:12.2354087Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:12.2726215Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:12.2726920Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:12.3247804Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:12.3248671Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:12.3621917Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:12.3622444Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:12.3802911Z PASSED [ 21%]
2022-05-18T03:54:12.4177670Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_elman_tanh_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:12.4178488Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:12.4552717Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:12.4553243Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:12.5066995Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:12.5067558Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:12.5440349Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:12.5440877Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:12.5616646Z PASSED [ 21%]
2022-05-18T03:54:12.5993552Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_elman_tanh_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:12.5995183Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:12.6370023Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:12.6370591Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:12.6883769Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:12.6884381Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:12.7261177Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:12.7261711Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:12.7434811Z PASSED [ 21%]
2022-05-18T03:54:12.8016449Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_elman_tanh_trilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:12.8091031Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:12.8152600Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:12.8794232Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:12.8873136Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:12.8934322Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:12.9028011Z PASSED [ 21%]
2022-05-18T03:54:12.9607813Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_elman_tanh_trilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:12.9680278Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:12.9741777Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:13.0380907Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:13.0453531Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:13.0515336Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:13.0610940Z PASSED [ 21%]
2022-05-18T03:54:13.0986810Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_elman_tanh_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:13.0987527Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:13.1335134Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:13.1336096Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:13.1821303Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:13.1821938Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:13.2167534Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:13.2168079Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:13.2305108Z PASSED [ 22%]
2022-05-18T03:54:13.2676554Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_elman_tanh_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:13.2677274Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:13.3026470Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:13.3027017Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:13.3499696Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:13.3500220Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:13.3846713Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:13.3847274Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:13.3990038Z PASSED [ 22%]
2022-05-18T03:54:13.4359520Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_elman_tanh_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:13.4360293Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:13.4706201Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:13.4706767Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:13.5170404Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:13.5170953Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:13.5517520Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:13.5518031Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:13.5649200Z PASSED [ 22%]
2022-05-18T03:54:13.6019566Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_elman_tanh_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:13.6020327Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:13.6366182Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:13.6366724Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:13.6830611Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:13.6831250Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:13.7177961Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:13.7178481Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:13.7309426Z PASSED [ 22%]
2022-05-18T03:54:13.7644567Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_elman_tanh_trilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:13.7710546Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:13.7755681Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:13.8129802Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:13.8195468Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:13.8240904Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:13.8313102Z PASSED [ 22%]
2022-05-18T03:54:13.8648269Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_elman_tanh_trilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:13.8713986Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:13.8758981Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:13.9130397Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:13.9197844Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:13.9242756Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:13.9313106Z PASSED [ 22%]
2022-05-18T03:54:13.9645413Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_elman_tanh_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:13.9646123Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:13.9984260Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:13.9984795Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:14.0428427Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:14.0429188Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:14.0765994Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:14.0766535Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:14.0905444Z PASSED [ 22%]
2022-05-18T03:54:14.1239283Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_elman_tanh_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:14.1239992Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:14.1577322Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:14.1577862Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:14.2018695Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:14.2019273Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:14.2356312Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:14.2356924Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:14.2496040Z PASSED [ 22%]
2022-05-18T03:54:14.2830409Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_elman_tanh_trilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:14.2831171Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:14.3169266Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:14.3169804Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:14.3610049Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:14.3610589Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:14.3948234Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:14.3948948Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:14.4083425Z PASSED [ 23%]
2022-05-18T03:54:14.4417991Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_elman_tanh_trilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:14.4418667Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:14.4757469Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:14.4758166Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:14.5192075Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:14.5192608Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:14.5529182Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:14.5529717Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:14.5662331Z PASSED [ 23%]
2022-05-18T03:54:14.6203458Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_elman_tanh_trilayer_forward_no_initial_state_without_sequence_lengths_with_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:14.6240394Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:14.6280378Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:14.6874167Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:14.6910811Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:14.6951183Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:14.7034505Z PASSED [ 23%]
2022-05-18T03:54:14.7576350Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_elman_tanh_trilayer_forward_no_initial_state_without_sequence_lengths_without_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:14.7613211Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:14.7649288Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:14.8244456Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:14.8282109Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:14.8318412Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:14.8403472Z PASSED [ 23%]
2022-05-18T03:54:14.8737029Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_elman_tanh_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:14.8737748Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:14.9051003Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:14.9051533Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:14.9451571Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:14.9452332Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:14.9765124Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:14.9765640Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:14.9868739Z PASSED [ 23%]
2022-05-18T03:54:15.0199230Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_elman_tanh_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:15.0199957Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:15.0514062Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:15.0514682Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:15.0914308Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:15.0915126Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:15.1228919Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:15.1229454Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:15.1331039Z PASSED [ 23%]
2022-05-18T03:54:15.1659985Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_elman_tanh_trilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:15.1660921Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:15.1973936Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:15.1974471Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:15.2366973Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:15.2367512Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:15.2680743Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:15.2681286Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:15.2777474Z PASSED [ 23%]
2022-05-18T03:54:15.3111156Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_elman_tanh_trilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:15.3111876Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:15.3424999Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:15.3425530Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:15.3818507Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:15.3819027Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:15.4133858Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:15.4134477Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:15.4231825Z PASSED [ 23%]
2022-05-18T03:54:15.4529979Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_elman_tanh_trilayer_forward_with_initial_state_without_sequence_lengths_with_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:15.4563891Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:15.4586166Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:15.4914384Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:15.4948058Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:15.4970325Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:15.5031171Z PASSED [ 24%]
2022-05-18T03:54:15.5326636Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_elman_tanh_trilayer_forward_with_initial_state_without_sequence_lengths_without_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:15.5360546Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:15.5382804Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:15.5707762Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:15.5741294Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:15.5763273Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:15.5824677Z PASSED [ 24%]
2022-05-18T03:54:15.6147537Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_elman_tanh_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:15.6148300Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:15.6470601Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:15.6471551Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:15.6850042Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:15.6850638Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:15.7171033Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:15.7171769Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:15.7256847Z PASSED [ 24%]
2022-05-18T03:54:15.7581068Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_elman_tanh_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:15.7581796Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:15.7902295Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:15.7903009Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:15.8277533Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:15.8278209Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:15.8597480Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:15.8598217Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:15.8681192Z PASSED [ 24%]
2022-05-18T03:54:15.9003495Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_elman_tanh_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:15.9004218Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:15.9324901Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:15.9325642Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:15.9690894Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:15.9691610Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:16.0011877Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:16.0012575Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:16.0088417Z PASSED [ 24%]
2022-05-18T03:54:16.0408090Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_elman_tanh_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:16.0408986Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:16.0728869Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:16.0729516Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:16.1094720Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:16.1095513Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:16.1416780Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:16.1417331Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:16.1493334Z PASSED [ 24%]
2022-05-18T03:54:16.2020297Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_elman_tanh_unilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:16.2039267Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:16.2057102Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:16.2602337Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:16.2620963Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:16.2638890Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:16.2691070Z PASSED [ 24%]
2022-05-18T03:54:16.3224631Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_elman_tanh_unilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:16.3245894Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:16.3263959Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:16.3814080Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:16.3833055Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:16.3850761Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:16.3903478Z PASSED [ 24%]
2022-05-18T03:54:16.4222848Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_elman_tanh_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:16.4223575Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:16.4520504Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:16.4521014Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:16.4875942Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:16.4876469Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:16.5172974Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:16.5173498Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:16.5240883Z PASSED [ 25%]
2022-05-18T03:54:16.5558701Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_elman_tanh_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:16.5559413Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:16.5855838Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:16.5856367Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:16.6207811Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:16.6208405Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:16.6504781Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:16.6505311Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:16.6572696Z PASSED [ 25%]
2022-05-18T03:54:16.6891659Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_elman_tanh_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:16.6892365Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:16.7189928Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:16.7190479Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:16.7537930Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:16.7538460Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:16.7835895Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:16.7836612Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:16.7898544Z PASSED [ 25%]
2022-05-18T03:54:16.8214489Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_elman_tanh_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:16.8215291Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:16.8513132Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:16.8513882Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:16.8855931Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:16.8856472Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:16.9153604Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:16.9154132Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:16.9214122Z PASSED [ 25%]
2022-05-18T03:54:16.9497502Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_elman_tanh_unilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:16.9514588Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:16.9527397Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:16.9817566Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:16.9834970Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:16.9847682Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:16.9886423Z PASSED [ 25%]
2022-05-18T03:54:17.0171473Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_elman_tanh_unilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:17.0189773Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:17.0202464Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:17.0499114Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:17.0516774Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:17.0529338Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:17.0570032Z PASSED [ 25%]
2022-05-18T03:54:17.0878809Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_elman_tanh_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:17.0880489Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:17.1189875Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:17.1190823Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:17.1539065Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:17.1539980Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:17.1848210Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:17.1848928Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:17.1919275Z PASSED [ 25%]
2022-05-18T03:54:17.2225927Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_elman_tanh_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:17.2226720Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:17.2535643Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:17.2536171Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:17.2884256Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:17.2884894Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:17.3194730Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:17.3195413Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:17.3266228Z PASSED [ 25%]
2022-05-18T03:54:17.3573285Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_elman_tanh_unilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:17.3574164Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:17.3884747Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:17.3885269Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:17.4231374Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:17.4231906Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:17.4541577Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:17.4542293Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:17.4608339Z PASSED [ 26%]
2022-05-18T03:54:17.4915605Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_elman_tanh_unilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:17.4916312Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:17.5226660Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:17.5227225Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:17.5578205Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:17.5578737Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:17.5886466Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:17.5887011Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:17.5954357Z PASSED [ 26%]
2022-05-18T03:54:17.6466175Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_elman_tanh_unilayer_forward_no_initial_state_without_sequence_lengths_with_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:17.6475436Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:17.6486764Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:17.7015627Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:17.7024523Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:17.7036129Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:17.7083773Z PASSED [ 26%]
2022-05-18T03:54:17.7597625Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_elman_tanh_unilayer_forward_no_initial_state_without_sequence_lengths_without_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:17.7607342Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:17.7619251Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:17.8150201Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:17.8160329Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:17.8172935Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:17.8220045Z PASSED [ 26%]
2022-05-18T03:54:17.8524932Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_elman_tanh_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:17.8525642Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:17.8816015Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:17.8816532Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:17.9145568Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:17.9146103Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:17.9437781Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:17.9438308Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:17.9494658Z PASSED [ 26%]
2022-05-18T03:54:17.9798368Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_elman_tanh_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:17.9799074Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:18.0087272Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:18.0087810Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:18.0422733Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:18.0423461Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:18.0710688Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:18.0711309Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:18.0766606Z PASSED [ 26%]
2022-05-18T03:54:18.1068512Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_elman_tanh_unilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:18.1069293Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:18.1356167Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:18.1356719Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:18.1678017Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:18.1678567Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:18.1964507Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:18.1965026Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:18.2014330Z PASSED [ 26%]
2022-05-18T03:54:18.2316502Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_elman_tanh_unilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:18.2317454Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:18.2603618Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:18.2604146Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:18.2923989Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:18.2924660Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:18.3211687Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:18.3212207Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:18.3262574Z PASSED [ 26%]
2022-05-18T03:54:18.3531160Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_elman_tanh_unilayer_forward_with_initial_state_without_sequence_lengths_with_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:18.3539361Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:18.3546437Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:18.3820461Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:18.3828451Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:18.3835497Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:18.3869086Z PASSED [ 27%]
2022-05-18T03:54:18.4137516Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_elman_tanh_unilayer_forward_with_initial_state_without_sequence_lengths_without_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:18.4144709Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:18.4151782Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:18.4427603Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:18.4435936Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:18.4442952Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:18.4480917Z PASSED [ 27%]
2022-05-18T03:54:18.5898837Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_embedding PASSED [ 27%]
2022-05-18T03:54:18.7045028Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_embedding_bag PASSED [ 27%]
2022-05-18T03:54:18.8449220Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_embedding_bag_1d_per_sample_weights PASSED [ 27%]
2022-05-18T03:54:19.0258900Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_embedding_bag_2d_per_sample_weights PASSED [ 27%]
2022-05-18T03:54:19.0284269Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_embedding_bag_dynamic_input SKIPPED [ 27%]
2022-05-18T03:54:19.0491011Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_embedding_model_with_external_data PASSED [ 27%]
2022-05-18T03:54:19.2004303Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_embedding_module PASSED [ 28%]
2022-05-18T03:54:19.3143705Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_embedding_renorm PASSED [ 28%]
2022-05-18T03:54:19.3522386Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_empty_branch PASSED [ 28%]
2022-05-18T03:54:19.3629374Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_empty_constant_shape Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'x.1'. This changes graph semantics.
2022-05-18T03:54:19.4153315Z Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'x.1'. This changes graph semantics.
2022-05-18T03:54:19.4683125Z Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'x.1'. This changes graph semantics.
2022-05-18T03:54:19.5264013Z Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'x.1'. This changes graph semantics.
2022-05-18T03:54:19.6050272Z PASSED [ 28%]
2022-05-18T03:54:19.6206814Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_empty_kwargs PASSED [ 28%]
2022-05-18T03:54:19.6990845Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_eq PASSED [ 28%]
2022-05-18T03:54:19.8195648Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_expand PASSED [ 28%]
2022-05-18T03:54:19.9692099Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_eye PASSED [ 28%]
2022-05-18T03:54:19.9715681Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_fake_quantize_activation SKIPPED [ 29%]
2022-05-18T03:54:19.9737333Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_fake_quantize_per_channel SKIPPED [ 29%]
2022-05-18T03:54:20.0186738Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_fake_quantize_per_tensor PASSED [ 29%]
2022-05-18T03:54:20.0209757Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_fake_quantize_per_tensor_dynamic_scale_zeropoint SKIPPED [ 29%]
2022-05-18T03:54:21.4891434Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_faster_rcnn [W LegacyTypeDispatch.h:79] Warning: AutoNonVariableTypeMode is deprecated and will be removed in 1.10 release. For kernel implementations please use AutoDispatchBelowADInplaceOrView instead, If you are looking for a user facing API to enable running your inference-only workload, please use c10::InferenceMode. Using AutoDispatchBelowADInplaceOrView in user code is under risk of producing silent wrong result in some edge cases. See Note [AutoDispatchBelowAutograd] for more details. (function operator())
2022-05-18T03:54:41.2162378Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:41.2418815Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:50.0975749Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:50.1282132Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:55.7520201Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:55.7682739Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:56.5053859Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:56.5068376Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:56.8706686Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:56.8721654Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:57.0639741Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:57.0751267Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:57.3943783Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:57.3946318Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:57.7215552Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:54:57.7218912Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:55:20.6625218Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:55:20.6879723Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:55:29.5293462Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:55:29.5615988Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:55:35.2471354Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:55:35.2628157Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:55:35.9626553Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:55:35.9639917Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:55:36.3143620Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:55:36.3157701Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:55:36.5023236Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:55:36.5126354Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:55:36.8127765Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:55:36.8131008Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:55:37.1288483Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:55:37.1291505Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:55:57.5245292Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:55:57.5492249Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:56:04.3552988Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:56:04.3842462Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:56:07.4647485Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:56:08.1566712Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:56:08.1580455Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:56:08.4702720Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:56:08.4716504Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:56:08.5923032Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:56:08.8817489Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:56:08.8820420Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:56:09.1607965Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:56:09.1611169Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:56:31.2205020Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:56:31.2453475Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:56:38.0337960Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:56:38.0629768Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:56:41.1567155Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:56:41.8541736Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:56:41.8555767Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:56:42.1210397Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:56:42.1224632Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:56:42.2426308Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:56:42.5303931Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:56:42.5306430Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:56:42.7587267Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:56:42.7589926Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:56:46.2858960Z PASSED [ 29%]
2022-05-18T03:56:46.3251018Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_fill PASSED [ 29%]
2022-05-18T03:56:46.3883203Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_flatten PASSED [ 29%]
2022-05-18T03:56:46.4202309Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_flatten2d PASSED [ 29%]
2022-05-18T03:56:46.4854823Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_flatten2d_neg PASSED [ 30%]
2022-05-18T03:56:46.5219456Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_flatten_dynamic_axes PASSED [ 30%]
2022-05-18T03:56:46.5498688Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_flip PASSED [ 30%]
2022-05-18T03:56:46.6275165Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_floating_point PASSED [ 30%]
2022-05-18T03:56:46.7479327Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_floating_point_infer_dtype PASSED [ 30%]
2022-05-18T03:56:47.1172626Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_floor_div PASSED [ 30%]
2022-05-18T03:56:47.1452144Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_floor_div_script PASSED [ 30%]
2022-05-18T03:56:47.2792761Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_floordiv PASSED [ 30%]
2022-05-18T03:56:47.3013512Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_fmod PASSED [ 31%]
2022-05-18T03:56:47.3288652Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_fmod_scalar PASSED [ 31%]
2022-05-18T03:56:47.4332664Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_frobenius_norm PASSED [ 31%]
2022-05-18T03:56:47.4678941Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_frobenius_norm_keepdim PASSED [ 31%]
2022-05-18T03:56:47.5103891Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_full_like PASSED [ 31%]
2022-05-18T03:56:47.5637424Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_full_like_value PASSED [ 31%]
2022-05-18T03:56:47.5849097Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_full_script PASSED [ 31%]
2022-05-18T03:56:47.6263762Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_full_trace PASSED [ 31%]
2022-05-18T03:56:47.6528928Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_fuse_addmm PASSED [ 32%]
2022-05-18T03:56:47.7605819Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_fuse_conv_bn1d PASSED [ 32%]
2022-05-18T03:56:47.8743478Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_fuse_conv_bn2d PASSED [ 32%]
2022-05-18T03:56:48.0076345Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_fuse_conv_bn3d PASSED [ 32%]
2022-05-18T03:56:48.0895695Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_fuse_conv_in_block PASSED [ 32%]
2022-05-18T03:56:48.1210217Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_gather PASSED [ 32%]
2022-05-18T03:56:48.1461657Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_gather_constant_fold WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:56:48.1562096Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:56:48.1566870Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:56:48.1826556Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T03:56:48.1838505Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T03:56:48.1908724Z Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: '0'. This changes graph semantics.
2022-05-18T03:56:48.2142536Z PASSED [ 32%]
2022-05-18T03:56:48.2949955Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_ge PASSED [ 32%]
2022-05-18T03:56:48.3457804Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_ge_scalar PASSED [ 33%]
2022-05-18T03:56:48.3766439Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_gelu PASSED [ 33%]
2022-05-18T03:56:48.4074791Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_getitem PASSED [ 33%]
2022-05-18T03:56:48.4394462Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_glu PASSED [ 33%]
2022-05-18T03:56:48.4416732Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_grid_sample SKIPPED [ 33%]
2022-05-18T03:56:57.5248883Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_groupnorm PASSED [ 33%]
2022-05-18T03:56:57.9297512Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_groupnorm_noaffine PASSED [ 33%]
2022-05-18T03:56:58.1166153Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_gru_constant_folding WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:56:58.1444396Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:56:58.1594328Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:56:58.1932851Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:56:58.2173151Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:56:58.2308133Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:56:58.4066211Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:56:58.4279605Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:56:58.4404361Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:56:58.4734834Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:56:58.4913280Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:56:58.5013335Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:56:58.5079865Z PASSED [ 33%]
2022-05-18T03:56:58.6737991Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_gru_no_bias WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:56:58.6785740Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:56:58.6846468Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:56:58.6900910Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:56:58.6923414Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:56:58.6949755Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:56:58.7003528Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:56:58.7004062Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:56:58.7008786Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:56:58.7323228Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:56:58.7369614Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:56:58.7425855Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:56:58.7451942Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:56:58.7477357Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:56:58.7507797Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:56:58.7520930Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:56:58.7521448Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:56:58.7526225Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:56:58.9108276Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:56:58.9132652Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:56:58.9164854Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:56:58.9196622Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:56:58.9242386Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:56:58.9253420Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:56:58.9267462Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:56:58.9282064Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:56:58.9330561Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:56:58.9331068Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:56:58.9333992Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:56:58.9337309Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:56:58.9643560Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:56:58.9666666Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:56:58.9695680Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:56:58.9724988Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:56:58.9744139Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:56:58.9757011Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:56:58.9773108Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:56:58.9788825Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:56:58.9799330Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:56:58.9799915Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:56:58.9803798Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:56:58.9807169Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:56:58.9865537Z PASSED [ 34%]
2022-05-18T03:56:59.2004327Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_gru_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:56:59.2005057Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:56:59.2522429Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:56:59.2522949Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:56:59.3346435Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:56:59.3347442Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:56:59.3999222Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:56:59.4000221Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:56:59.6002578Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:56:59.6003590Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:56:59.6527003Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:56:59.6528272Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:56:59.7326217Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:56:59.7327230Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:56:59.7979336Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:56:59.7980309Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:56:59.8380266Z PASSED [ 34%]
2022-05-18T03:57:00.0248622Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_gru_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:00.0249952Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:00.0769092Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:00.0770129Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:00.1597558Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:00.1598574Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:00.2262587Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:00.2263510Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:00.4253716Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:00.4255013Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:00.4776918Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:00.4777910Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:00.5573770Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:00.5575299Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:00.6229082Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:00.6230028Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:00.6626332Z PASSED [ 34%]
2022-05-18T03:57:00.8523451Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_gru_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:00.8524754Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:00.9041271Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:00.9042237Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:00.9853412Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:00.9854426Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:01.0515769Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:01.0516647Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:01.2522805Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:01.2523817Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:01.3043863Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:01.3044831Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:01.3836592Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:01.3837603Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:01.4490534Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:01.4491444Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:01.4883967Z PASSED [ 34%]
2022-05-18T03:57:01.6753964Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_gru_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:01.6755284Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:01.7277001Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:01.7277988Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:01.8105788Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:01.8766793Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:01.8767710Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:01.8768485Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:02.0737156Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:02.0738198Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:02.1260241Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:02.1261249Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:02.2058435Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:02.2059449Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:02.2716099Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:02.2717001Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:02.3109910Z PASSED [ 34%]
2022-05-18T03:57:02.4856256Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_gru_trilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:02.5260417Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:02.5473353Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:02.6136793Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:02.6518322Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:02.6762425Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:02.8529938Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:02.8937112Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:02.9130075Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:02.9796909Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:03.0176908Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:03.0422336Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:03.0520742Z PASSED [ 34%]
2022-05-18T03:57:03.2260411Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_gru_trilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:03.2667802Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:03.2883376Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:03.3548486Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:03.3929352Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:03.4169918Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:03.5935292Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:03.6339668Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:03.6536452Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:03.7204254Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:03.7583370Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:03.7828472Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:03.7926608Z PASSED [ 34%]
2022-05-18T03:57:03.9598546Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_gru_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:03.9599518Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:04.0005468Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:04.0006080Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:04.0799731Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:04.0800357Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:04.1426816Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:04.1427396Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:04.3354735Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:04.3355404Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:04.3760581Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:04.3761118Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:04.4529141Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:04.4529686Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:04.5151278Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:04.5152002Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:04.5506872Z PASSED [ 34%]
2022-05-18T03:57:04.7149236Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_gru_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:04.7553008Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:04.7553546Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:04.7554370Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:04.8350905Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:04.8351452Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:04.8977211Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:04.8977748Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:05.0887736Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:05.0888304Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:05.1294031Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:05.1294729Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:05.2068096Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:05.2068663Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:05.2695617Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:05.2696633Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:05.3054276Z PASSED [ 35%]
2022-05-18T03:57:05.4748131Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_gru_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:05.4749788Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:05.5153971Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:05.5154929Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:05.5951324Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:05.5952367Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:05.6582817Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:05.6583450Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:05.8512074Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:05.8512625Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:05.8915374Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:05.8915915Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:05.9675961Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:05.9676550Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:06.0304601Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:06.0305197Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:06.0656689Z PASSED [ 35%]
2022-05-18T03:57:06.2305892Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_gru_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:06.2306605Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:06.2709102Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:06.2709944Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:06.3496089Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:06.3496804Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:06.4124949Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:06.4125563Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:06.6025595Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:06.6026152Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:06.6430524Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:06.6431242Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:06.7195502Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:06.7196163Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:06.7821289Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:06.7821971Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:06.8170713Z PASSED [ 35%]
2022-05-18T03:57:06.9991772Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_gru_trilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:07.0387379Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:07.0600319Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:07.0995985Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:07.1370881Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:07.1597410Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:07.3428981Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:07.3828313Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:07.4010242Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:07.4406206Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:07.4778381Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:07.5007260Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:07.5085629Z PASSED [ 35%]
2022-05-18T03:57:07.6908920Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_gru_trilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:07.7306046Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:07.7517176Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:07.7913667Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:07.8288486Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:07.8515888Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:08.0353080Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:08.0754210Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:08.0937910Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:08.1335391Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:08.1703688Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:08.1929562Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:08.2004617Z PASSED [ 35%]
2022-05-18T03:57:08.3586692Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_gru_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:08.3587980Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:08.3941958Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:08.3942908Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:08.4591116Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:08.4592435Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:08.5059414Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:08.5060338Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:08.6581705Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:08.6582742Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:08.6935343Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:08.6936305Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:08.7553156Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:08.7554148Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:08.8019666Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:08.8020619Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:08.8256758Z PASSED [ 35%]
2022-05-18T03:57:08.9797734Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_gru_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:08.9799038Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:09.0150693Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:09.0151645Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:09.0799943Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:09.0800958Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:09.1268712Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:09.1269966Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:09.2756400Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:09.2757411Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:09.3109098Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:09.3110067Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:09.3729506Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:09.3730508Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:09.4195845Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:09.4196773Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:09.4432370Z PASSED [ 35%]
2022-05-18T03:57:09.6010121Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_gru_trilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:09.6011406Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:09.6365998Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:09.6367012Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:09.7011316Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:09.7012355Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:09.7478844Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:09.7479799Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:09.8995492Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:09.8996512Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:09.9352142Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:09.9353117Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:09.9973605Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:09.9974814Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:10.0439169Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:10.0440081Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:10.0669564Z PASSED [ 35%]
2022-05-18T03:57:10.2225290Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_gru_trilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:10.2226592Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:10.2581543Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:10.2582554Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:10.3221294Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:10.3222294Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:10.3690769Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:10.5185066Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:10.5186074Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:10.5187034Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:10.5540511Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:10.5541528Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:10.6159418Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:10.6160415Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:10.6625494Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:10.6626337Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:10.6857053Z PASSED [ 36%]
2022-05-18T03:57:10.8281077Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_gru_trilayer_forward_no_initial_state_without_sequence_lengths_with_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:10.8495991Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:10.8621674Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:10.9217781Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:10.9399738Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:10.9512803Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:11.0947476Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:11.1165241Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:11.1273599Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:11.1871502Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:11.2052454Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:11.2163892Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:11.2248179Z PASSED [ 36%]
2022-05-18T03:57:11.3662732Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_gru_trilayer_forward_no_initial_state_without_sequence_lengths_without_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:11.3879200Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:11.4006670Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:11.4601790Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:11.4782122Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:11.4894773Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:11.6322790Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:11.6537843Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:11.6642169Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:11.7237496Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:11.7417297Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:11.7532550Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:11.7617426Z PASSED [ 36%]
2022-05-18T03:57:11.8998974Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_gru_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:11.8999953Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:11.9231982Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:11.9232830Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:11.9853299Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:11.9853904Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:12.0296257Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:12.0296957Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:12.1782529Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:12.1783394Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:12.2021961Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:12.2022517Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:12.2619206Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:12.2619757Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:12.3059681Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:12.3060210Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:12.3254006Z PASSED [ 36%]
2022-05-18T03:57:12.4601866Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_gru_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:12.4602605Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:12.4840357Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:12.4840913Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:12.5462447Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:12.5463009Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:12.5906623Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:12.5907220Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:12.7357501Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:12.7358036Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:12.7595934Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:12.7596702Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:12.8193415Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:12.8193953Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:12.8634256Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:12.8634795Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:12.8834003Z PASSED [ 36%]
2022-05-18T03:57:13.0210964Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_gru_trilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:13.0211669Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:13.0451236Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:13.0452032Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:13.1075007Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:13.1075561Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:13.1522892Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:13.1523407Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:13.2995816Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:13.2996402Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:13.3237875Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:13.3238412Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:13.3828619Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:13.3829174Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:13.4269776Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:13.4270365Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:13.4460765Z PASSED [ 36%]
2022-05-18T03:57:13.5807127Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_gru_trilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:13.5807838Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:13.6047178Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:13.6047913Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:13.6660044Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:13.6660731Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:13.7102715Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:13.7103424Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:13.8540890Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:13.8541489Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:13.8782319Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:13.8783193Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:13.9372594Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:13.9373302Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:13.9812759Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:13.9813476Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:14.0002448Z PASSED [ 36%]
2022-05-18T03:57:14.1497990Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_gru_trilayer_forward_with_initial_state_without_sequence_lengths_with_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:14.1711638Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:14.1832897Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:14.2168005Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:14.2344883Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:14.2444252Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:14.3941375Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:14.4155683Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:14.4250536Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:14.4586493Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:14.4763528Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:14.4861177Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:14.4925409Z PASSED [ 36%]
2022-05-18T03:57:14.6418754Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_gru_trilayer_forward_with_initial_state_without_sequence_lengths_without_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:14.6630276Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:14.6754161Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:14.7091273Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:14.7268320Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:14.7366848Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:14.8859932Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:14.9072942Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:14.9168654Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:14.9505951Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:14.9683283Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:14.9782777Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:14.9848476Z PASSED [ 37%]
2022-05-18T03:57:15.1369289Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_gru_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:15.1369991Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:15.1667223Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:15.1667760Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:15.2235934Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:15.2236921Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:15.2638721Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:15.2639863Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:15.4008560Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:15.4009564Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:15.4304199Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:15.4305166Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:15.4840403Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:15.4841630Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:15.5244463Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:15.5245351Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:15.5390367Z PASSED [ 37%]
2022-05-18T03:57:15.6898656Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_gru_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:15.6900033Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:15.7194254Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:15.7195237Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:15.7760656Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:15.7761679Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:15.8164570Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:15.8165441Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:15.9529516Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:15.9530166Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:15.9824895Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:15.9825502Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:16.0367070Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:16.0367644Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:16.0770691Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:16.0771433Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:16.0915551Z PASSED [ 37%]
2022-05-18T03:57:16.2436986Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_gru_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:16.2437688Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:16.2731546Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:16.2732086Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:16.3290491Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:16.3291042Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:16.3694879Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:16.3695417Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:16.5062701Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:16.5063690Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:16.5357232Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:16.5357776Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:16.5897890Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:16.5898440Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:16.6300375Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:16.6300901Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:16.6443826Z PASSED [ 37%]
2022-05-18T03:57:16.7936827Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_gru_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:16.7937766Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:16.8229415Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:16.8230206Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:16.8795267Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:16.8795903Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:16.9198055Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:16.9198755Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:17.0542090Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:17.0542731Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:17.0835034Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:17.1372606Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:17.1373281Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:17.1373803Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:17.1773842Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:17.1774883Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:17.1918134Z PASSED [ 37%]
2022-05-18T03:57:17.3259322Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_gru_unilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:17.3404971Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:17.3492333Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:17.4045166Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:17.4156638Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:17.4220505Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:17.5548138Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:17.5694767Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:17.5761018Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:17.6316096Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:17.6427594Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:17.6492809Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:17.6555437Z PASSED [ 37%]
2022-05-18T03:57:17.7895794Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_gru_unilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:17.8039575Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:17.8126776Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:17.8679537Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:17.8791361Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:17.8856609Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:18.0190157Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:18.0335115Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:18.0403331Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:18.0959940Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:18.1072620Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:18.1139806Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:18.1196405Z PASSED [ 37%]
2022-05-18T03:57:18.2480802Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_gru_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:18.2481532Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:18.2662503Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:18.2663053Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:18.3210868Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:18.3211421Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:18.3593001Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:18.3593582Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:18.4913019Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:18.4913567Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:18.5093612Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:18.5094353Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:18.5622163Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:18.5623173Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:18.6002484Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:18.6003358Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:18.6138167Z PASSED [ 37%]
2022-05-18T03:57:18.7399934Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_gru_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:18.7582333Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:18.7583297Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:18.7584270Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:18.8132959Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:18.8133974Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:18.8518020Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:18.8518879Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:18.9812420Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:18.9812994Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:18.9991310Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:18.9991840Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:19.0513663Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:19.0514223Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:19.0892915Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:19.0893442Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:19.1027378Z PASSED [ 38%]
2022-05-18T03:57:19.2305622Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_gru_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:19.2306347Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:19.2486739Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:19.2487337Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:19.3030426Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:19.3031000Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:19.3411579Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:19.3412109Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:19.4720703Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:19.4721229Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:19.4901153Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:19.4901666Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:19.5419385Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:19.5419941Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:19.5799731Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:19.5800337Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:19.5928692Z PASSED [ 38%]
2022-05-18T03:57:19.7192627Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_gru_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:19.7193355Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:19.7375786Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:19.7376318Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:19.7920106Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:19.7920858Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:19.8301777Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:19.8302306Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:19.9583500Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:19.9584053Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:19.9764229Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:19.9764809Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:20.0278058Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:20.0278663Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:20.0657718Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:20.0658250Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:20.0786167Z PASSED [ 38%]
2022-05-18T03:57:20.2209398Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_gru_unilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:20.2362584Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:20.2455547Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:20.2760706Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:20.2871858Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:20.2933811Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:20.4344408Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:20.4490432Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:20.4555114Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:20.4858637Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:20.4968258Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:20.5028653Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:20.5074872Z PASSED [ 38%]
2022-05-18T03:57:20.6495033Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_gru_unilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:20.6641320Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:20.6733849Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:20.7039647Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:20.7150940Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:20.7210966Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:20.8619491Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:20.8765590Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:20.8834324Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:20.9140613Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:20.9250168Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:20.9309738Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:20.9354551Z PASSED [ 38%]
2022-05-18T03:57:21.0756095Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_gru_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:21.0757035Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:21.0995889Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:21.0996652Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:21.1512800Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:21.1513344Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:21.1861160Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:21.1861669Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:21.3083944Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:21.3084952Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:21.3327490Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:21.3328445Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:21.3816498Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:21.3817504Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:21.4166207Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:21.4167526Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:21.4272936Z PASSED [ 38%]
2022-05-18T03:57:21.5650986Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_gru_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:21.5652376Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:21.5890922Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:21.5891890Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:21.6408461Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:21.6409502Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:21.6758275Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:21.6759167Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:21.7951857Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:21.7952866Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:21.8191964Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:21.8192922Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:21.8680277Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:21.8681326Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:21.9031585Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:21.9032447Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:21.9139193Z PASSED [ 38%]
2022-05-18T03:57:22.0537742Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_gru_unilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:22.0539372Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:22.0778584Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:22.0779611Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:22.1286111Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:22.1287124Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:22.1637098Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:22.1638068Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:22.2855444Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:22.2856460Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:22.3095745Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:22.3096756Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:22.3578960Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:22.3579986Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:22.3931004Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:22.3932001Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:22.4034224Z PASSED [ 38%]
2022-05-18T03:57:22.5410738Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_gru_unilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:22.5412042Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:22.5651387Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:22.5652633Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:22.6158926Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:22.6159927Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:22.6508938Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:22.6509817Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:22.7692430Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:22.7693661Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:22.7931539Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:22.7932132Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:22.8408745Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:22.8409519Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:22.8756620Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:22.8757142Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:22.8858610Z PASSED [ 39%]
2022-05-18T03:57:23.0087053Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_gru_unilayer_forward_no_initial_state_without_sequence_lengths_with_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:23.0171260Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:23.0231329Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:23.0764969Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:23.0820340Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:23.0856232Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:23.2064442Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:23.2149124Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:23.2188357Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:23.2720422Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:23.2775204Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:23.2809610Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:23.2861433Z PASSED [ 39%]
2022-05-18T03:57:23.4085270Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_gru_unilayer_forward_no_initial_state_without_sequence_lengths_without_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:23.4171091Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:23.4232864Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:23.4767721Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:23.4823804Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:23.4859092Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:23.6072725Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:23.6158997Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:23.6199716Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:23.6733039Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:23.6788059Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:23.6822107Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:23.6874646Z PASSED [ 39%]
2022-05-18T03:57:23.8055101Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_gru_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:23.8056401Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:23.8182043Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:23.8182987Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:23.8675954Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:23.8676703Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:23.9000635Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:23.9001189Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:24.0173507Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:24.0174036Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:24.0304513Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:24.0305037Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:24.0767357Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:24.0767895Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:24.1093331Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:24.1093855Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:24.1183930Z PASSED [ 39%]
2022-05-18T03:57:24.2338740Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_gru_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:24.2340022Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:24.2466181Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:24.2467140Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:24.2957535Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:24.2958072Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:24.3283605Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:24.3284173Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:24.4443170Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:24.4443705Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:24.4568973Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:24.4569493Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:24.5035856Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:24.5036399Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:24.5364243Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:24.5364771Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:24.5455787Z PASSED [ 39%]
2022-05-18T03:57:24.6642505Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_gru_unilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:24.6643223Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:24.6767660Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:24.6768368Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:24.7254170Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:24.7255205Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:24.7582313Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:24.7583012Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:24.8756095Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:24.8756764Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:24.8882885Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:24.8883512Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:24.9343178Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:24.9343733Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:24.9670934Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:24.9671505Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:24.9756623Z PASSED [ 39%]
2022-05-18T03:57:25.0914331Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_gru_unilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:25.0915047Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:25.1039635Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:25.1040150Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:25.1525004Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:25.1525545Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:25.1852327Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:25.1853099Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:25.3004014Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:25.3005007Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:25.3131331Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:25.3591508Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:25.3592498Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:25.3593691Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:25.3918859Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:25.3919729Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:25.4004548Z PASSED [ 39%]
2022-05-18T03:57:25.5306709Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_gru_unilayer_forward_with_initial_state_without_sequence_lengths_with_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:25.5392174Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:25.5456882Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:25.5740791Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:25.5795510Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:25.5825588Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:25.7110597Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:25.7195320Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:25.7233030Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:25.7521077Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:25.7576350Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:25.7606792Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:25.7649993Z PASSED [ 39%]
2022-05-18T03:57:25.8962392Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_gru_unilayer_forward_with_initial_state_without_sequence_lengths_without_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:25.9046758Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:25.9112581Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:25.9397508Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:25.9451707Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:25.9482577Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:26.0766685Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:26.0851121Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:26.0887230Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:26.1168004Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:26.1220750Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:26.1250187Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:57:26.1286306Z PASSED [ 40%]
2022-05-18T03:57:26.2053138Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_gt PASSED [ 40%]
2022-05-18T03:57:26.2277812Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_gt_primitive PASSED [ 40%]
2022-05-18T03:57:26.2763035Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_gt_scalar PASSED [ 40%]
2022-05-18T03:57:26.3057020Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_hann_window_default_values PASSED [ 40%]
2022-05-18T03:57:26.3686769Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_hann_window_not_periodic PASSED [ 40%]
2022-05-18T03:57:26.4302872Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_hann_window_periodic PASSED [ 40%]
2022-05-18T03:57:26.5092258Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_hardshrink PASSED [ 40%]
2022-05-18T03:57:26.5623884Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_hardsigmoid PASSED [ 40%]
2022-05-18T03:57:26.6180946Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_hardswish PASSED [ 41%]
2022-05-18T03:57:26.6323091Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_hardswish_script PASSED [ 41%]
2022-05-18T03:57:26.6674754Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_hardtanh PASSED [ 41%]
2022-05-18T03:57:26.6867000Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_hardtanh_script_with_default_values PASSED [ 41%]
2022-05-18T03:57:27.1004179Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_heatmaps_to_keypoints PASSED [ 41%]
2022-05-18T03:57:27.6706741Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_if_fold PASSED [ 41%]
2022-05-18T03:57:27.6730292Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_if_list SKIPPED [ 41%]
2022-05-18T03:57:27.7053797Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_if_transpose PASSED [ 41%]
2022-05-18T03:57:27.7076355Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_if_view SKIPPED [ 42%]
2022-05-18T03:57:27.9047111Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_im2col PASSED [ 42%]
2022-05-18T03:57:27.9348129Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_index_1d PASSED [ 42%]
2022-05-18T03:57:27.9896461Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_index_2d_1dimslice PASSED [ 42%]
2022-05-18T03:57:28.0471211Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_index_2d_neg_slice PASSED [ 42%]
2022-05-18T03:57:28.0969654Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_index_2d_sliceint PASSED [ 42%]
2022-05-18T03:57:28.1068109Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_index_add_dim_size_differ Warning: ONNX Preprocess - Removing mutation from node aten::index_add_ on block input: 'x.1'. This changes graph semantics.
2022-05-18T03:57:28.1299339Z Warning: ONNX Preprocess - Removing mutation from node aten::index_add_ on block input: '0'. This changes graph semantics.
2022-05-18T03:57:28.1527217Z PASSED [ 42%]
2022-05-18T03:57:28.1620862Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_index_add_dynamic_axes Warning: ONNX Preprocess - Removing mutation from node aten::index_add_ on block input: 'x.1'. This changes graph semantics.
2022-05-18T03:57:28.1850491Z Warning: ONNX Preprocess - Removing mutation from node aten::index_add_ on block input: '0'. This changes graph semantics.
2022-05-18T03:57:28.2084587Z PASSED [ 42%]
2022-05-18T03:57:28.2190318Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_index_add_if Warning: ONNX Preprocess - Removing mutation from node aten::index_add_ on block input: 'x.1'. This changes graph semantics.
2022-05-18T03:57:28.2191476Z Warning: ONNX Preprocess - Removing mutation from node aten::index_add_ on block input: 'x.1'. This changes graph semantics.
2022-05-18T03:57:28.2436421Z PASSED [ 43%]
2022-05-18T03:57:28.2534448Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_index_add_in_loop Warning: ONNX Preprocess - Removing mutation from node aten::index_add_ on block input: 'x.1'. This changes graph semantics.
2022-05-18T03:57:28.2962108Z Warning: ONNX Preprocess - Removing mutation from node aten::index_add_ on block input: '0'. This changes graph semantics.
2022-05-18T03:57:28.3511918Z PASSED [ 43%]
2022-05-18T03:57:28.3602898Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_index_add_normal Warning: ONNX Preprocess - Removing mutation from node aten::index_add_ on block input: 'x.1'. This changes graph semantics.
2022-05-18T03:57:28.3845370Z Warning: ONNX Preprocess - Removing mutation from node aten::index_add_ on block input: '0'. This changes graph semantics.
2022-05-18T03:57:28.4126650Z Warning: ONNX Preprocess - Removing mutation from node aten::index_add_ on block input: 'x.1'. This changes graph semantics.
2022-05-18T03:57:28.4341226Z Warning: ONNX Preprocess - Removing mutation from node aten::index_add_ on block input: '0'. This changes graph semantics.
2022-05-18T03:57:28.4624510Z Warning: ONNX Preprocess - Removing mutation from node aten::index_add_ on block input: 'x.1'. This changes graph semantics.
2022-05-18T03:57:28.4863526Z Warning: ONNX Preprocess - Removing mutation from node aten::index_add_ on block input: '0'. This changes graph semantics.
2022-05-18T03:57:28.5087017Z PASSED [ 43%]
2022-05-18T03:57:28.5547827Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_index_copy PASSED [ 43%]
2022-05-18T03:57:28.6044685Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_index_fill PASSED [ 43%]
2022-05-18T03:57:28.6700286Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_index_mask PASSED [ 43%]
2022-05-18T03:57:28.7090081Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_index_mask_nd PASSED [ 43%]
2022-05-18T03:57:28.7561641Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_index_put PASSED [ 43%]
2022-05-18T03:57:28.8038953Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_index_put_accumulate PASSED [ 44%]
2022-05-18T03:57:29.1891192Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_index_put_ellipsis PASSED [ 44%]
2022-05-18T03:57:30.0944977Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_index_put_if PASSED [ 44%]
2022-05-18T03:57:31.7234964Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_index_put_if_2 PASSED [ 44%]
2022-05-18T03:57:32.1596201Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_index_put_if_3 PASSED [ 44%]
2022-05-18T03:57:32.7570474Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_index_put_if_4 PASSED [ 44%]
2022-05-18T03:57:33.3469109Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_index_put_if_5 PASSED [ 44%]
2022-05-18T03:57:34.0964012Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_index_put_inplace_ops PASSED [ 44%]
2022-05-18T03:57:38.2189238Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_index_put_loop PASSED [ 45%]
2022-05-18T03:57:38.2308848Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_index_put_singular Warning: ONNX Preprocess - Removing mutation from node aten::index_put_ on block input: 'mask.1'. This changes graph semantics.
2022-05-18T03:57:38.2653271Z Warning: ONNX Preprocess - Removing mutation from node aten::index_put_ on block input: '0'. This changes graph semantics.
2022-05-18T03:57:38.2994147Z Warning: ONNX Preprocess - Removing mutation from node aten::index_put_ on block input: 'mask.1'. This changes graph semantics.
2022-05-18T03:57:38.3274555Z Warning: ONNX Preprocess - Removing mutation from node aten::index_put_ on block input: '0'. This changes graph semantics.
2022-05-18T03:57:38.3524944Z PASSED [ 45%]
2022-05-18T03:57:38.3651374Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_index_put_slice_index Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'update.1'. This changes graph semantics.
2022-05-18T03:57:38.6623597Z Warning: ONNX Preprocess - Removing mutation from node aten::index_put_ on block input: 'x.1'. This changes graph semantics.
2022-05-18T03:57:38.6624169Z Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'update.1'. This changes graph semantics.
2022-05-18T03:57:38.7228240Z Warning: ONNX Preprocess - Removing mutation from node aten::index_put_ on block input: '0'. This changes graph semantics.
2022-05-18T03:57:38.8116994Z Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'update.1'. This changes graph semantics.
2022-05-18T03:57:39.0023467Z Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'update.1'. This changes graph semantics.
2022-05-18T03:57:39.1490255Z Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'update.1'. This changes graph semantics.
2022-05-18T03:57:40.3343418Z PASSED [ 45%]
2022-05-18T03:57:40.4443531Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_index_put_to_masked_fill PASSED [ 45%]
2022-05-18T03:57:40.5141067Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_index_put_to_masked_scatter PASSED [ 45%]
2022-05-18T03:57:40.5466210Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_index_select_constant_scaler_index PASSED [ 45%]
2022-05-18T03:57:40.5867154Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_index_select_scaler_index PASSED [ 45%]
2022-05-18T03:57:40.6021400Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_initializer_sequence PASSED [ 45%]
2022-05-18T03:57:40.6534499Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_initializer_sequence_script_model PASSED [ 46%]
2022-05-18T03:57:40.6618535Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_inplace_arithmetic Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'x.1'. This changes graph semantics.
2022-05-18T03:57:40.6619200Z Warning: ONNX Preprocess - Removing mutation from node aten::mul_ on block input: 'y.1'. This changes graph semantics.
2022-05-18T03:57:40.6862135Z PASSED [ 46%]
2022-05-18T03:57:40.6964173Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_inplace_arithmetic_half Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'x.1'. This changes graph semantics.
2022-05-18T03:57:40.7123518Z Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: '0'. This changes graph semantics.
2022-05-18T03:57:40.7342224Z Warning: ONNX Preprocess - Removing mutation from node aten::mul_ on block input: 'x.1'. This changes graph semantics.
2022-05-18T03:57:40.7473114Z Warning: ONNX Preprocess - Removing mutation from node aten::mul_ on block input: '0'. This changes graph semantics.
2022-05-18T03:57:40.7591593Z PASSED [ 46%]
2022-05-18T03:57:41.0245656Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_inplace_attr_copy_with_loop PASSED [ 46%]
2022-05-18T03:57:41.1014306Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_inplace_attr_with_loop PASSED [ 46%]
2022-05-18T03:57:41.1118305Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_inplace_fill Warning: ONNX Preprocess - Removing mutation from node aten::fill_ on block input: 'x.1'. This changes graph semantics.
2022-05-18T03:57:41.1359574Z Warning: ONNX Preprocess - Removing mutation from node aten::fill_ on block input: '0'. This changes graph semantics.
2022-05-18T03:57:41.1659242Z Warning: ONNX Preprocess - Removing mutation from node aten::fill_ on block input: 'x.1'. This changes graph semantics.
2022-05-18T03:57:41.1893902Z Warning: ONNX Preprocess - Removing mutation from node aten::fill_ on block input: '0'. This changes graph semantics.
2022-05-18T03:57:41.2119787Z PASSED [ 46%]
2022-05-18T03:57:41.2214469Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_inplace_list Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'x.1'. This changes graph semantics.
2022-05-18T03:57:41.2215825Z Warning: ONNX Preprocess - Removing mutation from node aten::fill_ on block input: 'y.1'. This changes graph semantics.
2022-05-18T03:57:41.2663774Z Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'x.1'. This changes graph semantics.
2022-05-18T03:57:41.2664722Z Warning: ONNX Preprocess - Removing mutation from node aten::fill_ on block input: 'y.1'. This changes graph semantics.
2022-05-18T03:57:41.3063876Z PASSED [ 46%]
2022-05-18T03:57:41.3088133Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_inplace_sequence_with_loop SKIPPED [ 46%]
2022-05-18T03:57:41.3649938Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_inplace_with_loop PASSED [ 47%]
2022-05-18T03:57:41.6791090Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_inplace_with_loop_2 PASSED [ 47%]
2022-05-18T03:57:41.6898497Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_inplace_zero Warning: ONNX Preprocess - Removing mutation from node aten::zero_ on block input: 'x.1'. This changes graph semantics.
2022-05-18T03:57:41.7116644Z Warning: ONNX Preprocess - Removing mutation from node aten::zero_ on block input: '0'. This changes graph semantics.
2022-05-18T03:57:41.7390903Z Warning: ONNX Preprocess - Removing mutation from node aten::zero_ on block input: 'x.1'. This changes graph semantics.
2022-05-18T03:57:41.7595803Z Warning: ONNX Preprocess - Removing mutation from node aten::zero_ on block input: '0'. This changes graph semantics.
2022-05-18T03:57:41.7796351Z PASSED [ 47%]
2022-05-18T03:57:41.9876479Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_input_mask_model Warning: ONNX Preprocess - Removing mutation from node aten::index_put_ on block input: 'y.1'. This changes graph semantics.
2022-05-18T03:57:42.0832676Z Warning: ONNX Preprocess - Removing mutation from node aten::index_put_ on block input: '2'. This changes graph semantics.
2022-05-18T03:57:42.1408759Z PASSED [ 47%]
2022-05-18T03:57:42.3464418Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_instancenorm1d_norunningstats PASSED [ 47%]
2022-05-18T03:57:42.5173955Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_instancenorm1d_runningstats PASSED [ 47%]
2022-05-18T03:57:42.7538926Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_instancenorm2d_norunningstats PASSED [ 47%]
2022-05-18T03:57:42.9579512Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_instancenorm2d_runningstats PASSED [ 47%]
2022-05-18T03:57:50.6450896Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_instancenorm3d_norunningstats PASSED [ 48%]
2022-05-18T03:57:58.5725172Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_instancenorm3d_runningstats PASSED [ 48%]
2022-05-18T03:57:59.6279743Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_instancenorm_eval_mode_train_layer PASSED [ 48%]
2022-05-18T03:58:00.3631063Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_instancenorm_training PASSED [ 48%]
2022-05-18T03:58:01.0998254Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_instancenorm_training_mode_fix_layer PASSED [ 48%]
2022-05-18T03:58:01.1133647Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_interpolate_adaptive_pooling_error WARNING: The shape inference of aten::adaptive_avg_pool1d type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:58:01.1134878Z WARNING: The shape inference of aten::adaptive_avg_pool1d type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:58:01.1136337Z WARNING: The shape inference of aten::adaptive_avg_pool1d type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:58:01.1137719Z WARNING: The shape inference of aten::adaptive_avg_pool1d type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:58:01.1635107Z PASSED [ 48%]
2022-05-18T03:58:02.5044922Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_interpolate_downsample PASSED [ 48%]
2022-05-18T03:58:02.5889839Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_interpolate_function_substitution PASSED [ 48%]
2022-05-18T03:58:02.6956071Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_interpolate_no_shape PASSED [ 49%]
2022-05-18T03:58:04.0347954Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_interpolate_upsample PASSED [ 49%]
2022-05-18T03:58:04.0371218Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_interpolate_upsample_trace SKIPPED [ 49%]
2022-05-18T03:58:04.0604677Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_isfinite PASSED [ 49%]
2022-05-18T03:58:04.0817274Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_isinf PASSED [ 49%]
2022-05-18T03:58:04.1017471Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_isnan PASSED [ 49%]
2022-05-18T03:58:04.1276532Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_item PASSED [ 49%]
2022-05-18T03:58:04.1293484Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_keypoint_rcnn SKIPPED [ 49%]
2022-05-18T03:58:04.7880410Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_kldiv_loss PASSED [ 50%]
2022-05-18T03:58:04.8251982Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_l1_norm PASSED [ 50%]
2022-05-18T03:58:04.8623791Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_l2_norm PASSED [ 50%]
2022-05-18T03:58:41.7559263Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_large_model_with_external_data PASSED [ 50%]
2022-05-18T03:59:06.4029315Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_large_model_with_non_str_file PASSED [ 50%]
2022-05-18T03:59:06.4545730Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_layer_norm PASSED [ 50%]
2022-05-18T03:59:06.5362814Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_le PASSED [ 50%]
2022-05-18T03:59:06.5870534Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_le_scalar PASSED [ 50%]
2022-05-18T03:59:06.6117665Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_len PASSED [ 51%]
2022-05-18T03:59:06.6344936Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_len_list PASSED [ 51%]
2022-05-18T03:59:06.7102497Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_linalg_cross PASSED [ 51%]
2022-05-18T03:59:07.2822961Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_linalg_matrix_norm PASSED [ 51%]
2022-05-18T03:59:08.1972242Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_linalg_norm PASSED [ 51%]
2022-05-18T03:59:08.9548822Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_linalg_vector_norm PASSED [ 51%]
2022-05-18T03:59:08.9938546Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_linalg_vector_norm_zero PASSED [ 51%]
2022-05-18T03:59:09.0700791Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_linear PASSED [ 51%]
2022-05-18T03:59:09.1099588Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_linspace PASSED [ 52%]
2022-05-18T03:59:09.1499516Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_linspace_negative_start PASSED [ 52%]
2022-05-18T03:59:09.2279756Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_list PASSED [ 52%]
2022-05-18T03:59:09.2405628Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_list_append Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'res.11'. This changes graph semantics.
2022-05-18T03:59:09.2727739Z PASSED [ 52%]
2022-05-18T03:59:09.3120818Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_list_append_in_block PASSED [ 52%]
2022-05-18T03:59:09.3144766Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_list_append_in_nested_block SKIPPED [ 52%]
2022-05-18T03:59:09.3167055Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_list_append_nested SKIPPED [ 52%]
2022-05-18T03:59:09.3189002Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_list_append_nested_2 SKIPPED [ 52%]
2022-05-18T03:59:09.3210198Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_list_append_nested_mixed_dtype SKIPPED [ 53%]
2022-05-18T03:59:09.3334229Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_list_del Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'res.13'. This changes graph semantics.
2022-05-18T03:59:09.3702914Z PASSED [ 53%]
2022-05-18T03:59:09.3725717Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_list_del_in_block SKIPPED [ 53%]
2022-05-18T03:59:09.3746063Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_list_del_nested SKIPPED [ 53%]
2022-05-18T03:59:09.3766560Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_list_idx_sum SKIPPED [ 53%]
2022-05-18T03:59:10.0360683Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_list_pass PASSED [ 53%]
2022-05-18T03:59:10.0488258Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_list_pop Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'res.13'. This changes graph semantics.
2022-05-18T03:59:10.0855881Z PASSED [ 53%]
2022-05-18T03:59:10.0878846Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_list_pop_in_block SKIPPED [ 53%]
2022-05-18T03:59:10.0899804Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_list_pop_nested SKIPPED [ 54%]
2022-05-18T03:59:10.1333528Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_list_set PASSED [ 54%]
2022-05-18T03:59:10.1747718Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_list_unpack PASSED [ 54%]
2022-05-18T03:59:10.3011090Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_listunpack PASSED [ 54%]
2022-05-18T03:59:10.3219693Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_log PASSED [ 54%]
2022-05-18T03:59:10.3435613Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_log10 PASSED [ 54%]
2022-05-18T03:59:10.3652142Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_log1p PASSED [ 54%]
2022-05-18T03:59:10.3866528Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_logdet PASSED [ 54%]
2022-05-18T03:59:10.4718188Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_logical_and PASSED [ 55%]
2022-05-18T03:59:10.5563643Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_logical_or PASSED [ 55%]
2022-05-18T03:59:10.6413689Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_logical_xor PASSED [ 55%]
2022-05-18T03:59:10.7844081Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_logsoftmax PASSED [ 55%]
2022-05-18T03:59:10.9809947Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_logsoftmax_dim PASSED [ 55%]
2022-05-18T03:59:11.0157730Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_logsoftmax_dtype PASSED [ 55%]
2022-05-18T03:59:11.0797068Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_loop_dynamic PASSED [ 55%]
2022-05-18T03:59:11.1289353Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_loop_multi_dim PASSED [ 55%]
2022-05-18T03:59:11.2376487Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_loop_nested PASSED [ 56%]
2022-05-18T03:59:11.2502013Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_loop_transpose Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'res.11'. This changes graph semantics.
2022-05-18T03:59:11.2878297Z PASSED [ 56%]
2022-05-18T03:59:11.3050203Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_loop_with_list Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'res4.11'. This changes graph semantics.
2022-05-18T03:59:11.3051317Z Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'res2.11'. This changes graph semantics.
2022-05-18T03:59:11.4104339Z PASSED [ 56%]
2022-05-18T03:59:11.5458766Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_lower_tuple PASSED [ 56%]
2022-05-18T03:59:11.5653986Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_lower_tuple_2 PASSED [ 56%]
2022-05-18T03:59:11.7158398Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_lower_tuple_3 PASSED [ 56%]
2022-05-18T03:59:11.8847471Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_lstm WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:11.8932401Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:11.9006645Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:11.9324361Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:11.9378059Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:11.9408227Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:11.9447596Z PASSED [ 56%]
2022-05-18T03:59:11.9898896Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_lstm_cell WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:11.9977341Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:12.0034368Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:12.1081284Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:12.1103378Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:12.1137470Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:12.1149248Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:12.1181858Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:12.1182459Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:12.1811669Z PASSED [ 56%]
2022-05-18T03:59:12.3810873Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_lstm_constant_folding WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:12.4104337Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:12.4278256Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:12.4669979Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:12.4922117Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:12.5065207Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:12.7005865Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:12.7238168Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:12.7390285Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:12.7784224Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:12.7976153Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:12.8083520Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:12.8168033Z PASSED [ 57%]
2022-05-18T03:59:12.9698615Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_lstm_default_init_state WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:12.9785491Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:12.9857913Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:13.0631802Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:13.0689296Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:13.0729344Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:13.0793723Z PASSED [ 57%]
2022-05-18T03:59:13.2364942Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_lstm_fixed_batch_size WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:13.2450108Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:13.2527561Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:13.3289730Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:13.3344802Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:13.3374922Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:13.3424171Z PASSED [ 57%]
2022-05-18T03:59:13.5132926Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_lstm_no_bias WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:13.5183062Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:13.5225855Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:13.5249627Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:13.5312230Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:13.5313167Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:13.5644962Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:13.5689726Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:13.5704593Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:13.5729713Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:13.5738972Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:13.5739683Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:13.7363881Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:13.7389027Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:13.7421452Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:13.7433826Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:13.7489299Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:13.7489809Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:13.7804004Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:13.7827598Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:13.7834956Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:13.7847129Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:13.7852741Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:13.7853236Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:13.9682899Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:13.9733252Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:13.9798654Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:13.9858670Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:13.9882266Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:13.9912095Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:13.9984955Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:13.9985450Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:13.9991769Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:14.0363721Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:14.0410072Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:14.0470772Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:14.0502268Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:14.0528737Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:14.0562624Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:14.0578961Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:14.0579463Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:14.0585851Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:14.2350477Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:14.2375195Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:14.2410047Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:14.2445221Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:14.2497008Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:14.2508906Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:14.2525110Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:14.2541429Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:14.2610763Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:14.2611277Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:14.2617284Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:14.2621945Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:14.2992586Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:14.3016108Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:14.3049144Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:14.3082058Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:14.3106773Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:14.3119911Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:14.3137857Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:14.3155836Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:14.3168815Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:14.3169309Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:14.3175126Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:14.3180165Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:14.3254233Z PASSED [ 57%]
2022-05-18T03:59:14.5061748Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_lstm_no_hidden WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:14.5150852Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:14.5229937Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:14.6006921Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:14.6062872Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:14.6103508Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:14.6166564Z PASSED [ 57%]
2022-05-18T03:59:14.7731524Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_lstm_post_fix_init_state WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:14.7823925Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:14.7905086Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:14.8676196Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:14.8738198Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:14.8773890Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:14.8837182Z PASSED [ 57%]
2022-05-18T03:59:15.0767858Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_lstm_proj_no_hidden WARNING: The shape inference of aten::lstm type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:15.0768911Z WARNING: The shape inference of aten::lstm type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:15.0769770Z WARNING: The shape inference of aten::lstm type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:15.0813890Z WARNING: The shape inference of aten::lstm type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:15.0815135Z WARNING: The shape inference of aten::lstm type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:15.0815964Z WARNING: The shape inference of aten::lstm type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:15.0838568Z PASSED [ 57%]
2022-05-18T03:59:15.4043083Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_lstm_sequence WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:15.4468825Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:15.4669729Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:15.4726845Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:15.4911039Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:15.4920310Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:15.5961735Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:15.6727669Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:15.6895593Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:15.6969526Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:15.7054715Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:15.7065549Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:15.7155359Z PASSED [ 57%]
2022-05-18T03:59:15.7573950Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_lstm_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:15.7574835Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:15.8281021Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:15.8281572Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:15.9133319Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:15.9133870Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:15.9838670Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:15.9839191Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:16.0308391Z PASSED [ 58%]
2022-05-18T03:59:16.0729452Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_lstm_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:16.0730195Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:16.1440482Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:16.1441023Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:16.2290407Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:16.2290954Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:16.2995252Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:16.2995805Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:16.3462534Z PASSED [ 58%]
2022-05-18T03:59:16.3882625Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_lstm_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:16.3883571Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:16.4592094Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:16.4592663Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:16.5438981Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:16.5439546Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:16.6147628Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:16.6148165Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:16.6607150Z PASSED [ 58%]
2022-05-18T03:59:16.7023469Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_lstm_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:16.7024199Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:16.7731740Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:16.7732264Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:16.8575058Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:16.8575605Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:16.9283764Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:16.9284296Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:16.9744912Z PASSED [ 58%]
2022-05-18T03:59:17.0574886Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_lstm_trilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:17.0969803Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:17.1239625Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:17.2181345Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:17.2576657Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:17.2846372Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:17.2986165Z PASSED [ 58%]
2022-05-18T03:59:17.3825210Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_lstm_trilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:17.4225889Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:17.4495128Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:17.5436403Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:17.5831469Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:17.6102067Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:17.6239715Z PASSED [ 58%]
2022-05-18T03:59:17.6655930Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_lstm_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:17.6657274Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:17.7317779Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:17.7318402Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:17.8083099Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:17.8083755Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:17.8741518Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:17.8742449Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:17.9128335Z PASSED [ 58%]
2022-05-18T03:59:17.9537479Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_lstm_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:17.9538254Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:18.0196038Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:18.0196576Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:18.0962869Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:18.0963438Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:18.1624654Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:18.1625247Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:18.2014669Z PASSED [ 58%]
2022-05-18T03:59:18.2426303Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_lstm_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:18.2427022Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:18.3084751Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:18.3085356Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:18.3844592Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:18.3845159Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:18.4507239Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:18.4507790Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:18.4890711Z PASSED [ 59%]
2022-05-18T03:59:18.5302891Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_lstm_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:18.5303603Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:18.5968579Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:18.5969099Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:18.6738122Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:18.6738869Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:18.7407719Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:18.7408234Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:18.7799370Z PASSED [ 59%]
2022-05-18T03:59:18.8200285Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_lstm_trilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:18.8588492Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:18.8830001Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:18.9296078Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:18.9682601Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:18.9922000Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:19.0016108Z PASSED [ 59%]
2022-05-18T03:59:19.0412774Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_lstm_trilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:19.0797131Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:19.1035397Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:19.1490036Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:19.1874580Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:19.2113949Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:19.2208207Z PASSED [ 59%]
2022-05-18T03:59:19.2577616Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_lstm_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:19.2578453Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:19.3099029Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:19.3099631Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:19.3733075Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:19.3733599Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:19.4258886Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:19.4259476Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:19.4561995Z PASSED [ 59%]
2022-05-18T03:59:19.4931242Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_lstm_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:19.4931944Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:19.5452528Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:19.5453039Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:19.6091241Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:19.6091769Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:19.6614101Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:19.6614979Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:19.6918601Z PASSED [ 59%]
2022-05-18T03:59:19.7283213Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_lstm_trilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:19.7283904Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:19.7805958Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:19.7806944Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:19.8433315Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:19.8434020Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:19.8958783Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:19.8959416Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:19.9253443Z PASSED [ 59%]
2022-05-18T03:59:19.9619006Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_lstm_trilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:19.9619704Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:20.0145321Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:20.0145842Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:20.0780653Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:20.0781201Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:20.1301998Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:20.1302537Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:20.1597238Z PASSED [ 59%]
2022-05-18T03:59:20.2376947Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_lstm_trilayer_forward_no_initial_state_without_sequence_lengths_with_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:20.2572344Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:20.2713221Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:20.3591769Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:20.3784271Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:20.3924648Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:20.4050679Z PASSED [ 60%]
2022-05-18T03:59:20.4831421Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_lstm_trilayer_forward_no_initial_state_without_sequence_lengths_without_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:20.5023604Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:20.5158015Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:20.6030445Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:20.6222307Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:20.6356430Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:20.6481482Z PASSED [ 60%]
2022-05-18T03:59:20.6840950Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_lstm_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:20.6841674Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:20.7316554Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:20.7317243Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:20.7870743Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:20.7871619Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:20.8348311Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:20.8348841Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:20.8578552Z PASSED [ 60%]
2022-05-18T03:59:20.8942310Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_lstm_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:20.8943153Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:20.9417162Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:20.9417956Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:20.9972644Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:20.9973337Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:21.0448024Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:21.0448747Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:21.0677458Z PASSED [ 60%]
2022-05-18T03:59:21.1037999Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_lstm_trilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:21.1038738Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:21.1512863Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:21.1513589Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:21.2056160Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:21.2056832Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:21.2533196Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:21.2533889Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:21.2753644Z PASSED [ 60%]
2022-05-18T03:59:21.3111620Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_lstm_trilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:21.3112380Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:21.3591491Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:21.3592220Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:21.4141282Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:21.4141822Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:21.4617390Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:21.4617981Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:21.4838599Z PASSED [ 60%]
2022-05-18T03:59:21.5182460Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_lstm_trilayer_forward_with_initial_state_without_sequence_lengths_with_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:21.5371972Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:21.5479061Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:21.5873357Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:21.6061849Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:21.6168450Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:21.6249963Z PASSED [ 60%]
2022-05-18T03:59:21.6593247Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_lstm_trilayer_forward_with_initial_state_without_sequence_lengths_without_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:21.6784643Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:21.6895167Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:21.7298164Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:21.7489253Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:21.7597420Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:21.7681804Z PASSED [ 60%]
2022-05-18T03:59:21.8037801Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_lstm_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:21.8038518Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:21.8487829Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:21.8488562Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:21.8973922Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:21.8974739Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:21.9423570Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:21.9424288Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:21.9589377Z PASSED [ 60%]
2022-05-18T03:59:21.9940096Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_lstm_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:21.9940821Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:22.0387957Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:22.0388667Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:22.0873422Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:22.0874134Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:22.1323903Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:22.1324624Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:22.1489508Z PASSED [ 61%]
2022-05-18T03:59:22.1837725Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_lstm_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:22.1838663Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:22.2286101Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:22.2286828Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:22.2761721Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:22.2762366Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:22.3210212Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:22.3210961Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:22.3368806Z PASSED [ 61%]
2022-05-18T03:59:22.3715659Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_lstm_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:22.3716387Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:22.4168224Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:22.4168887Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:22.4651285Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:22.4651982Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:22.5102699Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:22.5103342Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:22.5263084Z PASSED [ 61%]
2022-05-18T03:59:22.6021188Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_lstm_unilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:22.6133982Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:22.6206743Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:22.7000783Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:22.7112856Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:22.7183333Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:22.7249486Z PASSED [ 61%]
2022-05-18T03:59:22.8008639Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_lstm_unilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:22.8120165Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:22.8191014Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:22.8985498Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:22.9098151Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:22.9169209Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:22.9233341Z PASSED [ 61%]
2022-05-18T03:59:22.9576064Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_lstm_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:22.9576787Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:22.9982877Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:22.9983628Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:23.0433574Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:23.0434265Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:23.0837012Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:23.0837721Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:23.0969621Z PASSED [ 61%]
2022-05-18T03:59:23.1311844Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_lstm_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:23.1312555Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:23.1717133Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:23.1717850Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:23.2167729Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:23.2168423Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:23.2572265Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:23.2572948Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:23.2707814Z PASSED [ 61%]
2022-05-18T03:59:23.3051313Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_lstm_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:23.3052033Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:23.3453543Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:23.3454265Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:23.3890870Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:23.3891580Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:23.4295609Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:23.4296307Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:23.4423521Z PASSED [ 61%]
2022-05-18T03:59:23.4768644Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_lstm_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:23.4769361Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:23.5172047Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:23.5172741Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:23.5610450Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:23.5611170Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:23.6016856Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:23.6017561Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:23.6146232Z PASSED [ 62%]
2022-05-18T03:59:23.6474930Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_lstm_unilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:23.6587160Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:23.6651250Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:23.6997918Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:23.7110650Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:23.7173105Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:23.7219165Z PASSED [ 62%]
2022-05-18T03:59:23.7548406Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_lstm_unilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:23.7661418Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:23.7725054Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:23.8071504Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:23.8183219Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:23.8245957Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:23.8290716Z PASSED [ 62%]
2022-05-18T03:59:23.8624336Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_lstm_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:23.8625070Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:23.9017698Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:23.9018220Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:23.9440078Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:23.9440627Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:23.9835228Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:23.9835759Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:23.9956428Z PASSED [ 62%]
2022-05-18T03:59:24.0291174Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_lstm_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:24.0291874Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:24.0683587Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:24.0684115Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:24.1108570Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:24.1109161Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:24.1502810Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:24.1503560Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:24.1624668Z PASSED [ 62%]
2022-05-18T03:59:24.1955872Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_lstm_unilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:24.1956566Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:24.2349143Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:24.2349750Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:24.2764029Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:24.2764560Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:24.3158326Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:24.3158881Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:24.3272737Z PASSED [ 62%]
2022-05-18T03:59:24.3603939Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_lstm_unilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:24.3604699Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:24.3997731Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:24.3998419Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:24.4413255Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:24.4413797Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:24.4807984Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:24.4808499Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:24.4927595Z PASSED [ 62%]
2022-05-18T03:59:24.5669715Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_lstm_unilayer_forward_no_initial_state_without_sequence_lengths_with_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:24.5726127Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:24.5765338Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:24.6537529Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:24.6593044Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:24.6632002Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:24.6692884Z PASSED [ 62%]
2022-05-18T03:59:24.7431927Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_lstm_unilayer_forward_no_initial_state_without_sequence_lengths_without_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:24.7488426Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:24.7527362Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:24.8300100Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:24.8361203Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:24.8400235Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:24.8462083Z PASSED [ 63%]
2022-05-18T03:59:24.8788895Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_lstm_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:24.8789959Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:24.9140164Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:24.9140693Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:24.9525916Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:24.9526639Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:24.9878183Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:24.9878719Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:24.9970251Z PASSED [ 63%]
2022-05-18T03:59:25.0297822Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_lstm_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:25.0298554Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:25.0647309Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:25.0647838Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:25.1031945Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:25.1032482Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:25.1381146Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:25.1381649Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:25.1470217Z PASSED [ 63%]
2022-05-18T03:59:25.1794116Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_lstm_unilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:25.1795044Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:25.2144016Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:25.2144521Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:25.2522498Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:25.2523025Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:25.2872943Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:25.2873661Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:25.2956435Z PASSED [ 63%]
2022-05-18T03:59:25.3280464Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_lstm_unilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:25.3281186Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:25.3628140Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:25.3628678Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:25.4003651Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:25.4004177Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:25.4352502Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:25.4353036Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:25.4439123Z PASSED [ 63%]
2022-05-18T03:59:25.4747162Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_lstm_unilayer_forward_with_initial_state_without_sequence_lengths_with_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:25.4800638Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:25.4834220Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:25.5154294Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:25.5207831Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:25.5238489Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:25.5279350Z PASSED [ 63%]
2022-05-18T03:59:25.5588281Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_lstm_unilayer_forward_with_initial_state_without_sequence_lengths_without_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:25.5641743Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:25.5672865Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:25.5996297Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:25.6049739Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:25.6080612Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:25.6120612Z PASSED [ 63%]
2022-05-18T03:59:25.6908643Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_lt PASSED [ 63%]
2022-05-18T03:59:25.7405565Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_lt_scalar PASSED [ 64%]
2022-05-18T03:59:44.3613549Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_mask_rcnn WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:44.3861666Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:51.2628882Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:51.2924021Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T03:59:58.3850797Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:00:00.6562224Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:00:01.4128106Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:00:01.4142677Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:00:01.6952603Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:00:01.6966813Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:00:01.8774671Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:00:01.8836057Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:00:02.0156956Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:00:02.3364491Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:00:02.3367142Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:00:02.5829396Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:00:02.5832634Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:00:02.7382423Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:00:02.7409411Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:00:22.8929296Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:00:22.9177404Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:00:29.8034601Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:00:29.8326613Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:00:36.9097003Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:00:39.1387669Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:00:39.8588311Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:00:39.8602440Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:00:40.1791731Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:00:40.1805480Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:00:40.3517490Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:00:40.3575779Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:00:40.4888632Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:00:40.7944396Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:00:40.7947777Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:00:41.0817370Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:00:41.0820174Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:00:41.2286114Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:00:41.2310749Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:01:01.4695806Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:01:01.4944359Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:01:08.3886324Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:01:08.4190316Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:01:15.5560202Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:01:17.7949553Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:01:18.5151309Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:01:18.5165564Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:01:18.8352186Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:01:18.8366505Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:01:19.0085089Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:01:19.0144010Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:01:19.1475553Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:01:19.4530658Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:01:19.4534024Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:01:19.7419522Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:01:19.7422969Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:01:19.8898198Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:01:19.8923361Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:01:42.4835624Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:01:42.5084367Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:01:49.3899933Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:01:49.4195642Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:01:56.5166293Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:01:58.7644649Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:01:59.4867711Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:01:59.4883407Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:01:59.8091333Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:01:59.8107197Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:01:59.9829418Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:01:59.9888433Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:02:00.1208827Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:02:00.4294992Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:02:00.4298284Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:02:00.7171820Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:02:00.7175817Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:02:00.8644117Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:02:00.8670518Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:02:04.6708097Z PASSED [ 64%]
2022-05-18T04:02:04.7438063Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_masked_fill PASSED [ 64%]
2022-05-18T04:02:04.7531212Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_masked_fill_inplace Warning: ONNX Preprocess - Removing mutation from node aten::masked_fill_ on block input: 'x.1'. This changes graph semantics.
2022-05-18T04:02:04.7747799Z Warning: ONNX Preprocess - Removing mutation from node aten::masked_fill_ on block input: 'x.1'. This changes graph semantics.
2022-05-18T04:02:04.7931391Z PASSED [ 64%]
2022-05-18T04:02:04.8422521Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_masked_scatter PASSED [ 64%]
2022-05-18T04:02:04.8775204Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_masked_select PASSED [ 64%]
2022-05-18T04:02:04.9193317Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_matmul PASSED [ 64%]
2022-05-18T04:02:04.9609065Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_matmul_batch PASSED [ 64%]
2022-05-18T04:02:05.0242601Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_max_int PASSED [ 65%]
2022-05-18T04:02:05.0462718Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_max_tensors PASSED [ 65%]
2022-05-18T04:02:05.0736257Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_maximum_minimum PASSED [ 65%]
2022-05-18T04:02:05.1229292Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_maxpool PASSED [ 65%]
2022-05-18T04:02:05.1694200Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_maxpool_1d_ceil PASSED [ 65%]
2022-05-18T04:02:05.2188722Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_maxpool_2d PASSED [ 65%]
2022-05-18T04:02:05.2758366Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_maxpool_2d_ceil PASSED [ 65%]
2022-05-18T04:02:05.9422651Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_maxpool_3d_ceil PASSED [ 65%]
2022-05-18T04:02:05.9780977Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_maxpool_adaptive PASSED [ 66%]
2022-05-18T04:02:06.0281762Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_maxpool_default_stride PASSED [ 66%]
2022-05-18T04:02:06.0725786Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_maxpool_dilation PASSED [ 66%]
2022-05-18T04:02:06.1274204Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_maxpool_with_indices PASSED [ 66%]
2022-05-18T04:02:06.1715827Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_meshgrid PASSED [ 66%]
2022-05-18T04:02:06.2155713Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_meshgrid_scalar PASSED [ 66%]
2022-05-18T04:02:06.2779878Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_min_int PASSED [ 66%]
2022-05-18T04:02:06.2803636Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_minimum_dtypes SKIPPED [ 66%]
2022-05-18T04:02:06.3077535Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_mish PASSED [ 67%]
2022-05-18T04:02:06.3099103Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_mixed_optional SKIPPED [ 67%]
2022-05-18T04:02:06.3120548Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_mixed_optional_default_none SKIPPED [ 67%]
2022-05-18T04:02:06.3142109Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_mixed_optional_default_tensor SKIPPED [ 67%]
2022-05-18T04:02:06.3163615Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_mixed_optional_default_tensor_script SKIPPED [ 67%]
2022-05-18T04:02:11.1413453Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_mobilenet_v3 PASSED [ 67%]
2022-05-18T04:02:11.1433044Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_mobilenet_v3_quant SKIPPED [ 67%]
2022-05-18T04:02:11.3559997Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_mod_with_low_precision PASSED [ 67%]
2022-05-18T04:02:11.8739422Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_multi_scale_roi_align PASSED [ 68%]
2022-05-18T04:02:11.9440383Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_multinomial PASSED [ 68%]
2022-05-18T04:02:12.2257091Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_multiple_conv_bn Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'bn.num_batches_tracked'. This changes graph semantics.
2022-05-18T04:02:12.2258318Z Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'bn2.num_batches_tracked'. This changes graph semantics.
2022-05-18T04:02:12.6880159Z PASSED [ 68%]
2022-05-18T04:02:12.6904356Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_multiple_dynamic_repeat_interleave SKIPPED [ 68%]
2022-05-18T04:02:12.7322144Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_mv PASSED [ 68%]
2022-05-18T04:02:12.8871571Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_nan_to_num PASSED [ 68%]
2022-05-18T04:02:12.9231174Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_narrow PASSED [ 68%]
2022-05-18T04:02:12.9780916Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_narrow_dynamic PASSED [ 68%]
2022-05-18T04:02:13.0564660Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_nested_tuple_input PASSED [ 69%]
2022-05-18T04:02:13.0784366Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_nested_tuple_output PASSED [ 69%]
2022-05-18T04:02:13.3094874Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_new_empty PASSED [ 69%]
2022-05-18T04:02:13.4955727Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_new_full PASSED [ 69%]
2022-05-18T04:02:13.6558626Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_new_ones PASSED [ 69%]
2022-05-18T04:02:13.8163065Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_new_zeros PASSED [ 69%]
2022-05-18T04:02:13.8186256Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_nllloss SKIPPED [ 69%]
2022-05-18T04:02:13.8208662Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_nllloss_2d_mean SKIPPED [ 69%]
2022-05-18T04:02:13.8229319Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_nllloss_2d_mean_ignore_index SKIPPED [ 70%]
2022-05-18T04:02:13.8250422Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_nllloss_2d_mean_ignore_index_weights SKIPPED [ 70%]
2022-05-18T04:02:13.8271220Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_nllloss_2d_mean_weights SKIPPED [ 70%]
2022-05-18T04:02:13.8294087Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_nllloss_2d_none SKIPPED [ 70%]
2022-05-18T04:02:13.8314956Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_nllloss_2d_sum SKIPPED [ 70%]
2022-05-18T04:02:13.8335916Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_nllloss_dynamic_ignore_index SKIPPED [ 70%]
2022-05-18T04:02:13.8669564Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_nms PASSED [ 70%]
2022-05-18T04:02:13.8800031Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_nonzero PASSED [ 70%]
2022-05-18T04:02:13.9104819Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_normalize WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:02:13.9154845Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:02:13.9167908Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:02:13.9359175Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:02:13.9408499Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:02:13.9413453Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:02:13.9445449Z PASSED [ 71%]
2022-05-18T04:02:13.9726281Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_numel PASSED [ 71%]
2022-05-18T04:02:14.0001563Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_numel_empty PASSED [ 71%]
2022-05-18T04:02:14.0813329Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_one_hot PASSED [ 71%]
2022-05-18T04:02:14.1628944Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_ones_bool PASSED [ 71%]
2022-05-18T04:02:14.1726945Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_onnx_checker_invalid_graph PASSED [ 71%]
2022-05-18T04:02:14.1824676Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_onnx_proto_checker PASSED [ 71%]
2022-05-18T04:02:14.1846310Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_outer SKIPPED [ 71%]
2022-05-18T04:02:14.2058444Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_pad_int Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:02:14.2066578Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:02:14.2073977Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:02:14.2083832Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:02:14.2088549Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:02:14.2245460Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:02:14.2253415Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:02:14.2260776Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:02:14.2265777Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:02:14.2270449Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:02:14.2308604Z PASSED [ 72%]
2022-05-18T04:02:14.2508447Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_pad_types WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:02:14.2524520Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:02:14.2707114Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:02:14.2721121Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:02:14.2952083Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:02:14.2966278Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:02:14.3153151Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:02:14.3167237Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:02:14.3228587Z PASSED [ 72%]
2022-05-18T04:02:14.3622531Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_pairwise_distance PASSED [ 72%]
2022-05-18T04:02:14.5405998Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_paste_mask_in_image PASSED [ 72%]
2022-05-18T04:02:14.5934327Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_pixel_shuffle PASSED [ 72%]
2022-05-18T04:02:14.6530438Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_pixel_unshuffle PASSED [ 72%]
2022-05-18T04:02:14.8433942Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_pow PASSED [ 72%]
2022-05-18T04:02:14.8690629Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_prelu PASSED [ 72%]
2022-05-18T04:02:14.8889058Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_prelu_scalar PASSED [ 73%]
2022-05-18T04:02:14.8912774Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_prim_min SKIPPED [ 73%]
2022-05-18T04:02:14.9060566Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_primitive_input_bool PASSED [ 73%]
2022-05-18T04:02:14.9303281Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_primitive_input_floating PASSED [ 73%]
2022-05-18T04:02:14.9563439Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_primitive_input_integer PASSED [ 73%]
2022-05-18T04:02:14.9586002Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_qat_conv2d SKIPPED [ 73%]
2022-05-18T04:02:14.9608032Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_qat_conv2d_relu SKIPPED [ 73%]
2022-05-18T04:02:14.9630426Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_qat_conv2d_relu_fused SKIPPED [ 73%]
2022-05-18T04:02:14.9652159Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_qat_linear_per_channel SKIPPED [ 74%]
2022-05-18T04:02:15.0098835Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_qat_maxpool2d WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:02:15.0128632Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:02:15.0348569Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:02:15.0492468Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:02:15.0571006Z PASSED [ 74%]
2022-05-18T04:02:15.0594165Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_qat_relu SKIPPED [ 74%]
2022-05-18T04:02:15.0850295Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_quantize_per_tensor WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:02:15.0876308Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:02:15.1042312Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:02:15.1139785Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:02:15.1188911Z PASSED [ 74%]
2022-05-18T04:02:15.1356561Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_quantized_adaptive_avg_pool2d WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:02:15.1584664Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:02:15.1637405Z PASSED [ 74%]
2022-05-18T04:02:15.1874791Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_quantized_arithmetic WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:02:15.1912510Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:02:15.2207131Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:02:15.2241180Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:02:15.2326183Z PASSED [ 74%]
2022-05-18T04:02:15.2571293Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_quantized_arithmetic_qfunctional WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:02:15.2606715Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:02:15.2688669Z PASSED [ 74%]
2022-05-18T04:02:15.3373411Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_quantized_conv2d WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:02:15.3386001Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:02:15.4233490Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:02:15.4244306Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:02:15.4350673Z PASSED [ 74%]
2022-05-18T04:02:15.5004802Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_quantized_conv2d_relu WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:02:15.5016573Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:02:15.5883210Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:02:15.5894835Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:02:15.6002408Z PASSED [ 75%]
2022-05-18T04:02:15.6210067Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_quantized_flatten WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:02:15.6449627Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:02:15.6511293Z PASSED [ 75%]
2022-05-18T04:02:15.6638110Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_quantized_hardsigmoid WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:02:15.6813792Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:02:15.6869603Z PASSED [ 75%]
2022-05-18T04:02:15.7088843Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_quantized_hardswish WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:02:15.7327004Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:02:15.7383884Z PASSED [ 75%]
2022-05-18T04:02:15.7856195Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_quantized_linear WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:02:15.7869594Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:02:15.8477611Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:02:15.8490550Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:02:15.8578947Z PASSED [ 75%]
2022-05-18T04:02:15.9863317Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_random PASSED [ 75%]
2022-05-18T04:02:16.1267306Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_random_dynamic_size PASSED [ 75%]
2022-05-18T04:02:16.2736992Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_random_like PASSED [ 75%]
2022-05-18T04:02:16.4687430Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_random_like_dtype PASSED [ 76%]
2022-05-18T04:02:16.5248713Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_reciprocal PASSED [ 76%]
2022-05-18T04:02:16.5799090Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_reduce_log_sum_exp PASSED [ 76%]
2022-05-18T04:02:16.6475841Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_reduced_mean PASSED [ 76%]
2022-05-18T04:02:16.7735845Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_reduced_min_max PASSED [ 76%]
2022-05-18T04:02:16.9702687Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_reduced_prod PASSED [ 76%]
2022-05-18T04:02:17.2304551Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_reduced_sum PASSED [ 76%]
2022-05-18T04:02:17.2915427Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_reduced_sum_dtypes PASSED [ 76%]
2022-05-18T04:02:17.3106940Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_reflection_pad Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:02:17.3123073Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:02:17.3139048Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:02:17.3300077Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:02:17.3315968Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:02:17.3326186Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:02:17.3535633Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:02:17.3551667Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:02:17.3567634Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:02:17.3728017Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:02:17.3744190Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:02:17.3754212Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:02:17.3795505Z PASSED [ 77%]
2022-05-18T04:02:17.4165090Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_relu6 PASSED [ 77%]
2022-05-18T04:02:17.4360916Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_relu_int PASSED [ 77%]
2022-05-18T04:02:17.5397415Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_remainder PASSED [ 77%]
2022-05-18T04:02:17.5886518Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_remainder_scalar PASSED [ 77%]
2022-05-18T04:02:17.6561604Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_repeat PASSED [ 77%]
2022-05-18T04:02:17.9441053Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_repeat_interleave PASSED [ 77%]
2022-05-18T04:02:17.9953025Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_repeat_interleave_noop PASSED [ 77%]
2022-05-18T04:02:18.0157291Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_replication_pad Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:02:18.0172106Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:02:18.0188368Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:02:18.0350122Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:02:18.0366136Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:02:18.0376548Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:02:18.0589263Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:02:18.0605373Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:02:18.0621237Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:02:18.0785574Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:02:18.0803053Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:02:18.0813381Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:02:18.0856644Z PASSED [ 78%]
2022-05-18T04:02:18.0875720Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_reshape_allowzero SKIPPED [ 78%]
2022-05-18T04:02:18.1186851Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_reshape_constant_fold PASSED [ 78%]
2022-05-18T04:02:18.1460289Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_reshape_different_rank PASSED [ 78%]
2022-05-18T04:02:18.5388858Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_resize_images PASSED [ 78%]
2022-05-18T04:02:18.5675783Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_rnn_no_bias WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:02:18.5678348Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:02:18.5684161Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:02:18.5685344Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:02:18.5691340Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:02:18.5692203Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:02:18.5967670Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:02:18.5970101Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:02:18.5979269Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:02:18.5987668Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:02:18.6000200Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:02:18.6002034Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:02:18.6006695Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:02:18.6010815Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:02:18.6018108Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:02:18.6019089Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:02:18.6021837Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:02:18.6025312Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:02:18.6342927Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:02:18.6343856Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:02:18.6505336Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:02:18.6630721Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:02:18.6631602Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:02:18.6636400Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:02:18.6642080Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:02:18.6957592Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:02:18.6958518Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:02:18.7120844Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:02:18.7130330Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:02:18.7139701Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:02:18.7270089Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:02:18.7270965Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:02:18.7278579Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:02:18.7282935Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:02:18.7287674Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:02:18.7296189Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:02:18.7300200Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:02:18.7303511Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:02:18.7629815Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:02:18.7630367Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:02:18.7793064Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:02:18.7917723Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:02:18.7918249Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:02:18.7924149Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:02:18.7930153Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:02:18.8248050Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:02:18.8248574Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:02:18.8411400Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:02:18.8420308Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:02:18.8428999Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:02:18.8558941Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:02:18.8559489Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:02:18.8568036Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:02:18.8572316Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:02:18.8576880Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:02:18.8585372Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:02:18.8588977Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:02:18.8592253Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:02:18.8657872Z PASSED [ 78%]
2022-05-18T04:02:18.9237771Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_roi_align PASSED [ 78%]
2022-05-18T04:02:19.1132402Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_roi_align_aligned PASSED [ 78%]
2022-05-18T04:02:23.0393987Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_roi_heads WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:02:23.0508366Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:02:27.4203734Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:02:27.4366115Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:02:30.5354180Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:02:30.5354753Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:02:30.6876343Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:02:30.6877539Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:02:30.7786171Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:02:30.7786764Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:02:30.9645691Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:02:30.9646770Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:02:34.1174446Z PASSED [ 79%]
2022-05-18T04:02:34.1590913Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_roi_pool PASSED [ 79%]
2022-05-18T04:02:34.2995629Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_roll PASSED [ 79%]
2022-05-18T04:02:34.3203358Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_round PASSED [ 79%]
2022-05-18T04:02:37.2584146Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_rpn WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:02:37.2698016Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:02:39.4053868Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:02:39.4054626Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:02:39.4823103Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:02:39.4823822Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:02:39.8039333Z PASSED [ 79%]
2022-05-18T04:02:39.8275870Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_rsqrt PASSED [ 79%]
2022-05-18T04:02:39.8498202Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_rsqrt_zeros PASSED [ 79%]
2022-05-18T04:02:39.9257413Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_scalar_tensor PASSED [ 79%]
2022-05-18T04:02:40.3038814Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_scalar_type PASSED [ 80%]
2022-05-18T04:02:40.4052705Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_scatter PASSED [ 80%]
2022-05-18T04:02:40.4446188Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_scatter_add Warning: ONNX Preprocess - Removing mutation from node aten::scatter_add_ on block input: 'src.1'. This changes graph semantics.
2022-05-18T04:02:40.4446882Z Warning: ONNX Preprocess - Removing mutation from node aten::scatter_add_ on block input: 'index.1'. This changes graph semantics.
2022-05-18T04:02:40.4735538Z Warning: ONNX Preprocess - Removing mutation from node aten::scatter_add_ on block input: '0'. This changes graph semantics.
2022-05-18T04:02:40.4736083Z Warning: ONNX Preprocess - Removing mutation from node aten::scatter_add_ on block input: '1'. This changes graph semantics.
2022-05-18T04:02:40.4996943Z PASSED [ 80%]
2022-05-18T04:02:40.5333582Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_scatter_with_scalar PASSED [ 80%]
2022-05-18T04:02:40.5671984Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_scatter_with_scalar_different_types PASSED [ 80%]
2022-05-18T04:02:40.5905401Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_script_custom_class_error PASSED [ 80%]
2022-05-18T04:02:40.6379733Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_select PASSED [ 80%]
2022-05-18T04:02:40.6877372Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_select_negative_index PASSED [ 80%]
2022-05-18T04:02:40.6900146Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_sequance_loopcarried SKIPPED [ 80%]
2022-05-18T04:02:40.6921971Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_sequence_to_bool SKIPPED [ 81%]
2022-05-18T04:02:40.6943550Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_sequence_to_float SKIPPED [ 81%]
2022-05-18T04:02:40.6964802Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_sequence_to_int SKIPPED [ 81%]
2022-05-18T04:02:40.7448996Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_set_ PASSED [ 81%]
2022-05-18T04:02:40.8036308Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_set_attr PASSED [ 81%]
2022-05-18T04:02:40.8640040Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_set_attr_2 PASSED [ 81%]
2022-05-18T04:02:40.9778184Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_set_attr_3 PASSED [ 81%]
2022-05-18T04:02:41.0672788Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_set_attr_4 PASSED [ 81%]
2022-05-18T04:02:41.4624658Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_set_attr_5 PASSED [ 82%]
2022-05-18T04:02:41.8390007Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_set_attr_in_loop PASSED [ 82%]
2022-05-18T04:02:41.8414322Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_set_attr_in_loop_with_list SKIPPED [ 82%]
2022-05-18T04:02:42.1416158Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_set_attr_modules PASSED [ 82%]
2022-05-18T04:02:42.4178431Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_set_attr_modules_2 PASSED [ 82%]
2022-05-18T04:02:42.4569545Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_shape_constant_fold PASSED [ 82%]
2022-05-18T04:02:42.5074941Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_shape_value_map PASSED [ 82%]
2022-05-18T04:02:49.5151979Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_shufflenet_v2_dynamic_axes PASSED [ 82%]
2022-05-18T04:02:49.5449671Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_silu PASSED [ 83%]
2022-05-18T04:02:49.7687673Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_size PASSED [ 83%]
2022-05-18T04:02:49.9970276Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_slice_dynamic PASSED [ 83%]
2022-05-18T04:02:50.0201002Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_slice_dynamic_script PASSED [ 83%]
2022-05-18T04:02:50.1404807Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_slice_dynamic_shape_script PASSED [ 83%]
2022-05-18T04:02:50.3260321Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_slice_dynamic_to_end PASSED [ 83%]
2022-05-18T04:02:50.3700979Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_slice_neg PASSED [ 83%]
2022-05-18T04:02:50.4801154Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_slice_neg_large PASSED [ 83%]
2022-05-18T04:02:50.5845527Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_slice_neg_large_negone PASSED [ 84%]
2022-05-18T04:02:50.6230461Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_slice_trace PASSED [ 84%]
2022-05-18T04:02:50.8708704Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_slice_with_input_index PASSED [ 84%]
2022-05-18T04:02:51.2676384Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_softmax PASSED [ 84%]
2022-05-18T04:02:51.4281672Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_softmax_large_values PASSED [ 84%]
2022-05-18T04:02:51.5223609Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_softplus PASSED [ 84%]
2022-05-18T04:02:51.6074052Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_softshrink PASSED [ 84%]
2022-05-18T04:02:51.6494450Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_sort PASSED [ 84%]
2022-05-18T04:02:51.6910538Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_sort_ascending PASSED [ 85%]
2022-05-18T04:02:51.7230259Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_spectral_norm PASSED [ 85%]
2022-05-18T04:02:51.7774290Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_split PASSED [ 85%]
2022-05-18T04:02:51.8240195Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_split_dynamic PASSED [ 85%]
2022-05-18T04:02:51.8568085Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_split_dynamic_axes PASSED [ 85%]
2022-05-18T04:02:51.9909801Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_split_script PASSED [ 85%]
2022-05-18T04:02:52.0153744Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_split_size_as_list PASSED [ 85%]
2022-05-18T04:02:52.1283643Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_split_size_with_slice PASSED [ 85%]
2022-05-18T04:02:52.1304713Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_split_tensor_multi PASSED [ 86%]
2022-05-18T04:02:52.1655484Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_split_tensor_scalar PASSED [ 86%]
2022-05-18T04:02:52.1861473Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_square PASSED [ 86%]
2022-05-18T04:02:52.2124499Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_squeeze PASSED [ 86%]
2022-05-18T04:02:52.2326248Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_squeeze_all_dims PASSED [ 86%]
2022-05-18T04:02:52.2627722Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_squeeze_dynamic PASSED [ 86%]
2022-05-18T04:02:52.2649798Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_squeeze_dynamic_dim SKIPPED [ 86%]
2022-05-18T04:02:52.2951469Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_squeeze_neg PASSED [ 86%]
2022-05-18T04:02:52.3191616Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_squeeze_neg_without_no_op PASSED [ 87%]
2022-05-18T04:02:52.3488553Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_squeeze_no_op PASSED [ 87%]
2022-05-18T04:02:52.4998515Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_squeeze_runtime_dim PASSED [ 87%]
2022-05-18T04:02:52.5240312Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_squeeze_without_no_op PASSED [ 87%]
2022-05-18T04:02:52.5585354Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_stack PASSED [ 87%]
2022-05-18T04:02:52.5800727Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_stack_dynamic PASSED [ 87%]
2022-05-18T04:02:52.6376749Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_std PASSED [ 87%]
2022-05-18T04:02:52.7153504Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_std_along_dims PASSED [ 87%]
2022-05-18T04:02:52.7594303Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_std_correction PASSED [ 88%]
2022-05-18T04:02:52.8376423Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_std_keepdim PASSED [ 88%]
2022-05-18T04:02:52.8958468Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_std_mean PASSED [ 88%]
2022-05-18T04:02:52.9745853Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_std_mean_along_dims PASSED [ 88%]
2022-05-18T04:02:53.0189172Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_std_mean_correction PASSED [ 88%]
2022-05-18T04:02:53.0987708Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_std_mean_keepdim PASSED [ 88%]
2022-05-18T04:02:53.1244991Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_sum PASSED [ 88%]
2022-05-18T04:02:53.2819300Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_sum_empty_tensor PASSED [ 88%]
2022-05-18T04:02:53.5572845Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_symbolic_shape_inference PASSED [ 89%]
2022-05-18T04:02:53.9233832Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_symbolic_shape_inference_arange PASSED [ 89%]
2022-05-18T04:02:54.1484913Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_symbolic_shape_inference_arange_2 PASSED [ 89%]
2022-05-18T04:02:54.5375043Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_symbolic_shape_inference_box PASSED [ 89%]
2022-05-18T04:02:54.6075196Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_symbolic_shape_inference_box_if PASSED [ 89%]
2022-05-18T04:02:54.6677288Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_symbolic_shape_inference_dynamic_axes PASSED [ 89%]
2022-05-18T04:02:54.7033110Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_symbolic_shape_inference_expand_1 PASSED [ 89%]
2022-05-18T04:02:54.8926383Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_symbolic_shape_inference_expand_2 PASSED [ 89%]
2022-05-18T04:02:55.2565838Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_symbolic_shape_inference_nonzero PASSED [ 90%]
2022-05-18T04:02:55.3954609Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_symbolic_shape_inference_slice PASSED [ 90%]
2022-05-18T04:02:55.4980277Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_symbolic_shape_inference_slice_2 PASSED [ 90%]
2022-05-18T04:02:55.5288710Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_symbolic_shape_inference_time WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:02:55.5342801Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:02:55.5373393Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:02:55.5647770Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:02:55.5671668Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:02:55.5679072Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:02:55.5691829Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:02:55.5697900Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:02:55.5698908Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:02:55.5966794Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:02:55.5969383Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:02:55.5975506Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:02:55.5976936Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:02:55.5982288Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:02:55.5983200Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:02:55.6017754Z PASSED [ 90%]
2022-05-18T04:02:55.6268501Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_take PASSED [ 90%]
2022-05-18T04:02:55.6603097Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_tanh_gelu PASSED [ 90%]
2022-05-18T04:02:55.7233037Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_tanhshrink PASSED [ 90%]
2022-05-18T04:02:55.9301173Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_tensor PASSED [ 90%]
2022-05-18T04:02:56.1269983Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_tensor_factories PASSED [ 91%]
2022-05-18T04:02:56.1798058Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_tensor_factories_script PASSED [ 91%]
2022-05-18T04:02:56.5069344Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_tensor_index_advanced_indexing PASSED [ 91%]
2022-05-18T04:02:56.5957933Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_tensor_index_advanced_indexing_consecutive PASSED [ 91%]
2022-05-18T04:02:56.6249148Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_tensor_index_advanced_indexing_ellipsis PASSED [ 91%]
2022-05-18T04:02:56.6836801Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_tensor_like_factories_script PASSED [ 91%]
2022-05-18T04:02:56.6860033Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_tensordot_dim_count SKIPPED [ 91%]
2022-05-18T04:02:56.6881945Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_tensordot_dim_list SKIPPED [ 91%]
2022-05-18T04:02:56.6903874Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_tensordot_dynamic_dim SKIPPED [ 92%]
2022-05-18T04:02:56.7769150Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_to_device PASSED [ 92%]
2022-05-18T04:02:56.7946476Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_tolist PASSED [ 92%]
2022-05-18T04:02:56.8346566Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_topk PASSED [ 92%]
2022-05-18T04:02:56.8715302Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_topk_int32_k PASSED [ 92%]
2022-05-18T04:02:56.8914180Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_topk_script PASSED [ 92%]
2022-05-18T04:02:56.9590150Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_topk_smallest_unsorted PASSED [ 92%]
2022-05-18T04:02:56.9813277Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_torch_mm PASSED [ 92%]
2022-05-18T04:02:57.0705679Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_trace_script PASSED [ 93%]
2022-05-18T04:02:57.8793461Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_transform_images WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:02:57.8811554Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:02:57.8899661Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:02:57.8919647Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:02:57.9246005Z PASSED [ 93%]
2022-05-18T04:02:58.9771193Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_transformer_encoder PASSED [ 93%]
2022-05-18T04:02:59.0250898Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_transpose_infer_shape PASSED [ 93%]
2022-05-18T04:02:59.0275378Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_tril SKIPPED [ 93%]
2022-05-18T04:02:59.0298330Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_triu SKIPPED [ 93%]
2022-05-18T04:02:59.0475428Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_tuple_input PASSED [ 93%]
2022-05-18T04:02:59.0498394Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_tuple_of_optional SKIPPED [ 93%]
2022-05-18T04:02:59.0520729Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_tuple_of_optional_default_tensor SKIPPED [ 94%]
2022-05-18T04:02:59.0542289Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_tuple_of_optional_default_tensor_script SKIPPED [ 94%]
2022-05-18T04:02:59.0756475Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_tuple_output PASSED [ 94%]
2022-05-18T04:02:59.1056277Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_tuple_output_from_if_with_raised_exception PASSED [ 94%]
2022-05-18T04:02:59.1349589Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_tuple_primitive_input PASSED [ 94%]
2022-05-18T04:02:59.1402528Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_tuple_with_none_outputs PASSED [ 94%]
2022-05-18T04:02:59.2135773Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_type_as PASSED [ 94%]
2022-05-18T04:02:59.2933811Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_unbind PASSED [ 94%]
2022-05-18T04:02:59.3343375Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_unbind_dynamic PASSED [ 95%]
2022-05-18T04:02:59.3687641Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_unfold PASSED [ 95%]
2022-05-18T04:02:59.3711186Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_unfold_dynamic_inputs SKIPPED [ 95%]
2022-05-18T04:02:59.4301621Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_unfold_infer_shape PASSED [ 95%]
2022-05-18T04:02:59.4869632Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_uninitialized PASSED [ 95%]
2022-05-18T04:02:59.5530294Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_uninitialized_dynamic PASSED [ 95%]
2022-05-18T04:02:59.5553887Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_uninitialized_intList SKIPPED [ 95%]
2022-05-18T04:02:59.5575585Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_uninitialized_tensorList SKIPPED [ 95%]
2022-05-18T04:02:59.5597364Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_uninitialized_tensorList_dynamic SKIPPED [ 96%]
2022-05-18T04:02:59.5618575Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_uninitialized_tensorList_shape SKIPPED [ 96%]
2022-05-18T04:02:59.6059595Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_unique PASSED [ 96%]
2022-05-18T04:02:59.6485861Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_unique_along_dim PASSED [ 96%]
2022-05-18T04:02:59.6616584Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_unsafe_chunk PASSED [ 96%]
2022-05-18T04:02:59.6871064Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_unsqueeze PASSED [ 96%]
2022-05-18T04:02:59.6892985Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_unsqueeze_dynamic_dim SKIPPED [ 96%]
2022-05-18T04:02:59.6914525Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_unsupported_pad SKIPPED [ 96%]
2022-05-18T04:03:00.0140239Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_var PASSED [ 97%]
2022-05-18T04:03:00.0918137Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_var_along_dims PASSED [ 97%]
2022-05-18T04:03:00.1358614Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_var_correction PASSED [ 97%]
2022-05-18T04:03:00.2143877Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_var_keepdim PASSED [ 97%]
2022-05-18T04:03:00.2731089Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_var_mean PASSED [ 97%]
2022-05-18T04:03:00.3508603Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_var_mean_along_dims PASSED [ 97%]
2022-05-18T04:03:00.4396849Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_var_mean_correction PASSED [ 97%]
2022-05-18T04:03:00.5183364Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_var_mean_keepdim PASSED [ 97%]
2022-05-18T04:03:00.6245365Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_var_mean_mixed_dims PASSED [ 98%]
2022-05-18T04:03:00.6510211Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_view PASSED [ 98%]
2022-05-18T04:03:00.6725994Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_view_as PASSED [ 98%]
2022-05-18T04:03:00.7466468Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_view_dynamic PASSED [ 98%]
2022-05-18T04:03:00.7854290Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_view_dynamic_zero_dim PASSED [ 98%]
2022-05-18T04:03:00.9269461Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_weight_norm PASSED [ 98%]
2022-05-18T04:03:00.9553795Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_weight_norm_nodim PASSED [ 98%]
2022-05-18T04:03:00.9788706Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_where PASSED [ 98%]
2022-05-18T04:03:01.0238853Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_where_condition PASSED [ 99%]
2022-05-18T04:03:01.1194496Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_where_condition_script PASSED [ 99%]
2022-05-18T04:03:01.1840328Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_where_with_bool_tensor PASSED [ 99%]
2022-05-18T04:03:01.2088367Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_where_with_byte_tensor PASSED [ 99%]
2022-05-18T04:03:01.4396051Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_word_language_model_GRU WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:01.5025158Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:01.5242542Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:01.5910191Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:01.6754343Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:01.6952666Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:01.7092122Z PASSED [ 99%]
2022-05-18T04:03:01.7708147Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_word_language_model_LSTM WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:01.8588689Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:01.8795099Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:01.8927386Z PASSED [ 99%]
2022-05-18T04:03:01.9484402Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_word_language_model_RNN_RELU WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:02.0075066Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:02.0128322Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:02.0268584Z PASSED [ 99%]
2022-05-18T04:03:02.0825654Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_word_language_model_RNN_TANH WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:02.1415823Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:02.1468304Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:02.1606462Z PASSED [ 99%]
2022-05-18T04:03:02.2225768Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_zeros_ones_with_tensor_input PASSED [100%]/opt/conda/lib/python3.7/site-packages/coverage/control.py:793: CoverageWarning: No data was collected. (no-data-collected)
2022-05-18T04:03:02.2226796Z   self._warn("No data was collected.", slug="no-data-collected")
2022-05-18T04:03:02.9710865Z 
2022-05-18T04:03:02.9723609Z 
2022-05-18T04:03:02.9726011Z =============================== warnings summary ===============================
2022-05-18T04:03:02.9726671Z ../.local/lib/python3.7/site-packages/torchvision/transforms/functional_pil.py:207
2022-05-18T04:03:02.9727748Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/transforms/functional_pil.py:207: DeprecationWarning: BILINEAR is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.BILINEAR instead.
2022-05-18T04:03:02.9728597Z     def resize(img, size, interpolation=Image.BILINEAR):
2022-05-18T04:03:02.9728868Z 
2022-05-18T04:03:02.9729281Z ../.local/lib/python3.7/site-packages/torchvision/transforms/functional_pil.py:280
2022-05-18T04:03:02.9730404Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/transforms/functional_pil.py:280: DeprecationWarning: BICUBIC is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.BICUBIC instead.
2022-05-18T04:03:02.9731386Z     def perspective(img, perspective_coeffs, interpolation=Image.BICUBIC, fill=None):
2022-05-18T04:03:02.9731698Z 
2022-05-18T04:03:02.9731934Z test/onnx/test_pytorch_onnx_onnxruntime.py: 58 warnings
2022-05-18T04:03:02.9732980Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/utils.py:1522: UserWarning: No names were found for specified dynamic axes of provided input.Automatically generated names will be applied to each dynamic axes of input x
2022-05-18T04:03:02.9733627Z     key
2022-05-18T04:03:02.9733785Z 
2022-05-18T04:03:02.9734091Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_arange_dynamic
2022-05-18T04:03:02.9734845Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_eye
2022-05-18T04:03:02.9735423Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_index_add_dynamic_axes
2022-05-18T04:03:02.9736011Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_scalar_tensor
2022-05-18T04:03:02.9736590Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_slice_dynamic
2022-05-18T04:03:02.9737146Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_slice_dynamic_to_end
2022-05-18T04:03:02.9737918Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_uninitialized_dynamic
2022-05-18T04:03:02.9738556Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_view_dynamic_zero_dim
2022-05-18T04:03:02.9739689Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/utils.py:1522: UserWarning: No names were found for specified dynamic axes of provided input.Automatically generated names will be applied to each dynamic axes of input input_1
2022-05-18T04:03:02.9740341Z     key
2022-05-18T04:03:02.9740502Z 
2022-05-18T04:03:02.9740774Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_arange_dynamic
2022-05-18T04:03:02.9741361Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_if_transpose
2022-05-18T04:03:02.9741946Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_slice_dynamic
2022-05-18T04:03:02.9742531Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_slice_dynamic_to_end
2022-05-18T04:03:02.9743662Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/utils.py:1522: UserWarning: No names were found for specified dynamic axes of provided input.Automatically generated names will be applied to each dynamic axes of input output_1
2022-05-18T04:03:02.9744331Z     key
2022-05-18T04:03:02.9744494Z 
2022-05-18T04:03:02.9744767Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_arange_out
2022-05-18T04:03:02.9745360Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_arange_with_floats_out
2022-05-18T04:03:02.9747006Z   /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:426: UserWarning: The number of elements in the out tensor of shape [1] is 1 which does not match the computed number of elements 9. Note that this may occur as a result of rounding error. The out tensor will be resized to a tensor of shape (9,). (Triggered internally at  /var/lib/jenkins/workspace/aten/src/ATen/native/RangeFactories.cpp:187.)
2022-05-18T04:03:02.9747993Z     return callable(*args, **kwargs)
2022-05-18T04:03:02.9748283Z 
2022-05-18T04:03:02.9748681Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_arange_out
2022-05-18T04:03:02.9749791Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2709: UserWarning: The number of elements in the out tensor of shape [1] is 1 which does not match the computed number of elements 9. Note that this may occur as a result of rounding error. The out tensor will be resized to a tensor of shape (9,). (Triggered internally at  /var/lib/jenkins/workspace/aten/src/ATen/native/RangeFactories.cpp:187.)
2022-05-18T04:03:02.9750683Z     return torch.arange(end, out=out_t)
2022-05-18T04:03:02.9751049Z 
2022-05-18T04:03:02.9751347Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_arange_out
2022-05-18T04:03:02.9752393Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2708: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:03:02.9753370Z     out_t = torch.tensor([1], dtype=torch.float)
2022-05-18T04:03:02.9753595Z 
2022-05-18T04:03:02.9753867Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_arange_start_out
2022-05-18T04:03:02.9755562Z   /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:426: UserWarning: The number of elements in the out tensor of shape [1] is 1 which does not match the computed number of elements 7. Note that this may occur as a result of rounding error. The out tensor will be resized to a tensor of shape (7,). (Triggered internally at  /var/lib/jenkins/workspace/aten/src/ATen/native/RangeFactories.cpp:187.)
2022-05-18T04:03:02.9756576Z     return callable(*args, **kwargs)
2022-05-18T04:03:02.9756777Z 
2022-05-18T04:03:02.9757103Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_arange_start_out
2022-05-18T04:03:02.9758310Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2719: UserWarning: The number of elements in the out tensor of shape [1] is 1 which does not match the computed number of elements 7. Note that this may occur as a result of rounding error. The out tensor will be resized to a tensor of shape (7,). (Triggered internally at  /var/lib/jenkins/workspace/aten/src/ATen/native/RangeFactories.cpp:187.)
2022-05-18T04:03:02.9759262Z     return torch.arange(start.size(0), end, out=out_t)
2022-05-18T04:03:02.9759502Z 
2022-05-18T04:03:02.9759774Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_arange_start_out
2022-05-18T04:03:02.9760942Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2718: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:03:02.9761894Z     out_t = torch.tensor([1], dtype=torch.float)
2022-05-18T04:03:02.9762122Z 
2022-05-18T04:03:02.9762405Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_arange_with_floats_out
2022-05-18T04:03:02.9763602Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2610: UserWarning: The number of elements in the out tensor of shape [1] is 1 which does not match the computed number of elements 9. Note that this may occur as a result of rounding error. The out tensor will be resized to a tensor of shape (9,). (Triggered internally at  /var/lib/jenkins/workspace/aten/src/ATen/native/RangeFactories.cpp:187.)
2022-05-18T04:03:02.9764575Z     return torch.arange(end, out=out_t)
2022-05-18T04:03:02.9764809Z 
2022-05-18T04:03:02.9765110Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_arange_with_floats_out
2022-05-18T04:03:02.9766200Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2609: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:03:02.9767154Z     out_t = torch.tensor([1], dtype=torch.float)
2022-05-18T04:03:02.9767387Z 
2022-05-18T04:03:02.9767687Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_arange_with_floats_out
2022-05-18T04:03:02.9769435Z   /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:426: UserWarning: The number of elements in the out tensor of shape [1] is 1 which does not match the computed number of elements 5. Note that this may occur as a result of rounding error. The out tensor will be resized to a tensor of shape (5,). (Triggered internally at  /var/lib/jenkins/workspace/aten/src/ATen/native/RangeFactories.cpp:187.)
2022-05-18T04:03:02.9770399Z     return callable(*args, **kwargs)
2022-05-18T04:03:02.9770606Z 
2022-05-18T04:03:02.9770886Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_arange_with_floats_out
2022-05-18T04:03:02.9772000Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2618: UserWarning: The number of elements in the out tensor of shape [1] is 1 which does not match the computed number of elements 5. Note that this may occur as a result of rounding error. The out tensor will be resized to a tensor of shape (5,). (Triggered internally at  /var/lib/jenkins/workspace/aten/src/ATen/native/RangeFactories.cpp:187.)
2022-05-18T04:03:02.9773002Z     return torch.arange(start.size(0), end, 1.5, out=out_t)
2022-05-18T04:03:02.9773254Z 
2022-05-18T04:03:02.9773613Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_arange_with_floats_out
2022-05-18T04:03:02.9775091Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2617: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:03:02.9776035Z     out_t = torch.tensor([1], dtype=torch.float)
2022-05-18T04:03:02.9787671Z 
2022-05-18T04:03:02.9788059Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_arithmetic_prim_bool
2022-05-18T04:03:02.9789660Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2217: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:03:02.9790479Z     if z:
2022-05-18T04:03:02.9790629Z 
2022-05-18T04:03:02.9790892Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_baddbmm
2022-05-18T04:03:02.9792146Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:7625: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:03:02.9793103Z     input, batch1, batch2, alpha=torch.tensor(5), beta=3.5
2022-05-18T04:03:02.9793362Z 
2022-05-18T04:03:02.9793639Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_batched_nms
2022-05-18T04:03:02.9794232Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_multi_scale_roi_align
2022-05-18T04:03:02.9794804Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_nms
2022-05-18T04:03:02.9795358Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_roi_align
2022-05-18T04:03:02.9795954Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_roi_align_aligned
2022-05-18T04:03:02.9797131Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/symbolic_opset9.py:778: UserWarning: This model contains a squeeze operation on dimension 1. If the model is intended to be used with dynamic input shapes, please use opset version 11 to export the model.
2022-05-18T04:03:02.9797977Z     + "intended to be used with dynamic input shapes, please use opset version 11 to export the model."
2022-05-18T04:03:02.9798456Z 
2022-05-18T04:03:02.9798773Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_batchnorm1d_norunningstats
2022-05-18T04:03:02.9799417Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_batchnorm2d_norunningstats
2022-05-18T04:03:02.9800656Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/symbolic_helper.py:1139: UserWarning: ONNX export mode is set to inference mode, but operator batch_norm is set to training  mode. The operators will be exported in training , as specified by the functional operator.
2022-05-18T04:03:02.9801440Z     + ", as specified by the functional operator."
2022-05-18T04:03:02.9801682Z 
2022-05-18T04:03:02.9801997Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_batchnorm1d_norunningstats
2022-05-18T04:03:02.9802598Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_batchnorm2d_norunningstats
2022-05-18T04:03:02.9803231Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_batchnorm_training
2022-05-18T04:03:02.9803880Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_batchnorm_training_mode_fix_layer
2022-05-18T04:03:02.9804499Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_conv_bn
2022-05-18T04:03:02.9805210Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_groupnorm
2022-05-18T04:03:02.9805798Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_groupnorm_noaffine
2022-05-18T04:03:02.9806399Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_multiple_conv_bn
2022-05-18T04:03:02.9807793Z   /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:2352: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:03:02.9808600Z     if size_prods == 1:
2022-05-18T04:03:02.9808793Z 
2022-05-18T04:03:02.9809098Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_batchnorm_eval_mode_train_layer
2022-05-18T04:03:02.9809737Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_batchnorm_training
2022-05-18T04:03:02.9810380Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_batchnorm_training_mode_fix_layer
2022-05-18T04:03:02.9810980Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_conv_bn
2022-05-18T04:03:02.9811542Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_embedding
2022-05-18T04:03:02.9812168Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_instancenorm_eval_mode_train_layer
2022-05-18T04:03:02.9812810Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_instancenorm_training
2022-05-18T04:03:02.9813440Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_instancenorm_training_mode_fix_layer
2022-05-18T04:03:02.9814086Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_multiple_conv_bn
2022-05-18T04:03:02.9816301Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/utils.py:438: UserWarning: It is recommended that constant folding be turned off ('do_constant_folding=False') when exporting the model in training-amenable mode, i.e. with 'training=TrainingMode.TRAIN' or 'training=TrainingMode.PRESERVE' (when model is in training mode). Otherwise, some learnable model parameters may not translate correctly in the exported ONNX model because constant folding mutates model parameters. Please consider turning off constant folding or setting the training=TrainingMode.EVAL.
2022-05-18T04:03:02.9817818Z     "It is recommended that constant folding be turned off ('do_constant_folding=False') "
2022-05-18T04:03:02.9818121Z 
2022-05-18T04:03:02.9818403Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_batchnorm_training
2022-05-18T04:03:02.9819132Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_batchnorm_training_mode_fix_layer
2022-05-18T04:03:02.9819715Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_conv_bn
2022-05-18T04:03:02.9820288Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_embedding
2022-05-18T04:03:02.9820891Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_instancenorm_training
2022-05-18T04:03:02.9821549Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_instancenorm_training_mode_fix_layer
2022-05-18T04:03:02.9822168Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_multiple_conv_bn
2022-05-18T04:03:02.9823343Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/utils.py:75: UserWarning: You are exporting the model in training mode with onnx opset version 11. Opset versions lower than opset 12 will not be able to export nodes such as Dropout and BatchNorm correctly.
2022-05-18T04:03:02.9824099Z     GLOBALS.export_onnx_opset_version
2022-05-18T04:03:02.9824315Z 
2022-05-18T04:03:02.9824595Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_bitshift
2022-05-18T04:03:02.9825746Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:3936: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:03:02.9826666Z     input >> torch.tensor([1, 2]),
2022-05-18T04:03:02.9826879Z 
2022-05-18T04:03:02.9827166Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_bitshift_uint8
2022-05-18T04:03:02.9828306Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:3952: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:03:02.9829267Z     input2 >> torch.tensor([1, 2], dtype=torch.uint8),
2022-05-18T04:03:02.9829501Z 
2022-05-18T04:03:02.9829779Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_clip_boxes_to_image
2022-05-18T04:03:02.9830932Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/utils.py:1522: UserWarning: No names were found for specified dynamic axes of provided input.Automatically generated names will be applied to each dynamic axes of input size
2022-05-18T04:03:02.9831576Z     key
2022-05-18T04:03:02.9831739Z 
2022-05-18T04:03:02.9832030Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_clip_boxes_to_image
2022-05-18T04:03:02.9832612Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_faster_rcnn
2022-05-18T04:03:02.9833184Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_mask_rcnn
2022-05-18T04:03:02.9833758Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_roi_heads
2022-05-18T04:03:02.9834313Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_rpn
2022-05-18T04:03:02.9835812Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/ops/boxes.py:116: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:03:02.9836841Z     boxes_x = torch.max(boxes_x, torch.tensor(0, dtype=boxes.dtype, device=boxes.device))
2022-05-18T04:03:02.9837151Z 
2022-05-18T04:03:02.9837442Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_clip_boxes_to_image
2022-05-18T04:03:02.9838118Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_faster_rcnn
2022-05-18T04:03:02.9838685Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_mask_rcnn
2022-05-18T04:03:02.9839256Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_roi_heads
2022-05-18T04:03:02.9839817Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_rpn
2022-05-18T04:03:02.9841328Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/ops/boxes.py:117: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:03:02.9842366Z     boxes_x = torch.min(boxes_x, torch.tensor(width, dtype=boxes.dtype, device=boxes.device))
2022-05-18T04:03:02.9842672Z 
2022-05-18T04:03:02.9842962Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_clip_boxes_to_image
2022-05-18T04:03:02.9843555Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_faster_rcnn
2022-05-18T04:03:02.9844190Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_mask_rcnn
2022-05-18T04:03:02.9844761Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_roi_heads
2022-05-18T04:03:02.9845322Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_rpn
2022-05-18T04:03:02.9846558Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/ops/boxes.py:117: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor).
2022-05-18T04:03:02.9847469Z     boxes_x = torch.min(boxes_x, torch.tensor(width, dtype=boxes.dtype, device=boxes.device))
2022-05-18T04:03:02.9847783Z 
2022-05-18T04:03:02.9848073Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_clip_boxes_to_image
2022-05-18T04:03:02.9848656Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_faster_rcnn
2022-05-18T04:03:02.9849226Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_mask_rcnn
2022-05-18T04:03:02.9849797Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_roi_heads
2022-05-18T04:03:02.9850335Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_rpn
2022-05-18T04:03:02.9851842Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/ops/boxes.py:118: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:03:02.9852882Z     boxes_y = torch.max(boxes_y, torch.tensor(0, dtype=boxes.dtype, device=boxes.device))
2022-05-18T04:03:02.9853191Z 
2022-05-18T04:03:02.9853476Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_clip_boxes_to_image
2022-05-18T04:03:02.9854021Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_faster_rcnn
2022-05-18T04:03:02.9854497Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_mask_rcnn
2022-05-18T04:03:02.9855115Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_roi_heads
2022-05-18T04:03:02.9855621Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_rpn
2022-05-18T04:03:02.9857102Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/ops/boxes.py:119: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:03:02.9858366Z     boxes_y = torch.min(boxes_y, torch.tensor(height, dtype=boxes.dtype, device=boxes.device))
2022-05-18T04:03:02.9858723Z 
2022-05-18T04:03:02.9859035Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_clip_boxes_to_image
2022-05-18T04:03:02.9859677Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_faster_rcnn
2022-05-18T04:03:02.9860294Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_mask_rcnn
2022-05-18T04:03:02.9860889Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_roi_heads
2022-05-18T04:03:02.9861494Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_rpn
2022-05-18T04:03:02.9862823Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/ops/boxes.py:119: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor).
2022-05-18T04:03:02.9863790Z     boxes_y = torch.min(boxes_y, torch.tensor(height, dtype=boxes.dtype, device=boxes.device))
2022-05-18T04:03:02.9864123Z 
2022-05-18T04:03:02.9864523Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_dequantize
2022-05-18T04:03:02.9865199Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_quantized_adaptive_avg_pool2d
2022-05-18T04:03:02.9865884Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_quantized_arithmetic
2022-05-18T04:03:02.9866522Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_quantized_conv2d
2022-05-18T04:03:02.9867179Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_quantized_conv2d_relu
2022-05-18T04:03:02.9867828Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_quantized_flatten
2022-05-18T04:03:02.9868562Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_quantized_hardsigmoid
2022-05-18T04:03:02.9869200Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_quantized_hardswish
2022-05-18T04:03:02.9869853Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_quantized_linear
2022-05-18T04:03:02.9870895Z   /opt/conda/lib/python3.7/site-packages/torch/jit/_trace.py:745: UserWarning: The input to trace is already a ScriptModule, tracing it is a no-op. Returning the object as is.
2022-05-18T04:03:02.9871844Z     "The input to trace is already a ScriptModule, tracing it is a no-op. Returning the object as is."
2022-05-18T04:03:02.9872203Z 
2022-05-18T04:03:02.9872489Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_derive_index
2022-05-18T04:03:02.9873509Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:9340: TracerWarning: Using len to get tensor shape might cause the trace to be incorrect. Recommended usage would be tensor.shape[0]. Passing a tensor of different shape might lead to errors or silently give incorrect results.
2022-05-18T04:03:02.9874469Z     for idx in range(len(x) - 1, -len(x), -2):
2022-05-18T04:03:02.9874703Z 
2022-05-18T04:03:02.9875010Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_derive_index
2022-05-18T04:03:02.9876006Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:9351: TracerWarning: Using len to get tensor shape might cause the trace to be incorrect. Recommended usage would be tensor.shape[0]. Passing a tensor of different shape might lead to errors or silently give incorrect results.
2022-05-18T04:03:02.9876961Z     for idx in range(-len(x), len(x) - 1, 2):
2022-05-18T04:03:02.9877197Z 
2022-05-18T04:03:02.9877495Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_derive_index
2022-05-18T04:03:02.9878504Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:9362: TracerWarning: Using len to get tensor shape might cause the trace to be incorrect. Recommended usage would be tensor.shape[0]. Passing a tensor of different shape might lead to errors or silently give incorrect results.
2022-05-18T04:03:02.9879541Z     for idx in range(len(x) - 1, -len(x), -3):
2022-05-18T04:03:02.9879783Z 
2022-05-18T04:03:02.9880068Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_derive_index
2022-05-18T04:03:02.9881084Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:9372: TracerWarning: Using len to get tensor shape might cause the trace to be incorrect. Recommended usage would be tensor.shape[0]. Passing a tensor of different shape might lead to errors or silently give incorrect results.
2022-05-18T04:03:02.9882022Z     for idx in range(-len(x), len(x) - 1, 3):
2022-05-18T04:03:02.9882256Z 
2022-05-18T04:03:02.9882576Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_derive_index_scripting
2022-05-18T04:03:02.9883595Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:9296: TracerWarning: Using len to get tensor shape might cause the trace to be incorrect. Recommended usage would be tensor.shape[0]. Passing a tensor of different shape might lead to errors or silently give incorrect results.
2022-05-18T04:03:02.9884614Z     for idx in range(len(x) - 1, -len(x), -2):
2022-05-18T04:03:02.9884852Z 
2022-05-18T04:03:02.9885177Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_derive_index_scripting
2022-05-18T04:03:02.9886213Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:9307: TracerWarning: Using len to get tensor shape might cause the trace to be incorrect. Recommended usage would be tensor.shape[0]. Passing a tensor of different shape might lead to errors or silently give incorrect results.
2022-05-18T04:03:02.9887157Z     for idx in range(-len(x), len(x) - 1, 2):
2022-05-18T04:03:02.9887380Z 
2022-05-18T04:03:02.9887697Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_derive_index_scripting
2022-05-18T04:03:02.9888743Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:9318: TracerWarning: Using len to get tensor shape might cause the trace to be incorrect. Recommended usage would be tensor.shape[0]. Passing a tensor of different shape might lead to errors or silently give incorrect results.
2022-05-18T04:03:02.9889693Z     for idx in range(len(x) - 1, -len(x), -3):
2022-05-18T04:03:02.9889931Z 
2022-05-18T04:03:02.9890249Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_derive_index_scripting
2022-05-18T04:03:02.9891262Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:9328: TracerWarning: Using len to get tensor shape might cause the trace to be incorrect. Recommended usage would be tensor.shape[0]. Passing a tensor of different shape might lead to errors or silently give incorrect results.
2022-05-18T04:03:02.9892213Z     for idx in range(-len(x), len(x) - 1, 3):
2022-05-18T04:03:02.9892451Z 
2022-05-18T04:03:02.9892743Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_dist_normal
2022-05-18T04:03:02.9893393Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_dist_normal_correctness
2022-05-18T04:03:02.9895036Z   /opt/conda/lib/python3.7/site-packages/torch/distributions/distribution.py:54: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:03:02.9895935Z     if not valid.all():
2022-05-18T04:03:02.9896135Z 
2022-05-18T04:03:02.9896432Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_dist_uniform
2022-05-18T04:03:02.9897078Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_dist_uniform_correctness
2022-05-18T04:03:02.9898602Z   /opt/conda/lib/python3.7/site-packages/torch/distributions/uniform.py:55: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:03:02.9899700Z     if self._validate_args and not torch.lt(self.low, self.high).all():
2022-05-18T04:03:02.9899997Z 
2022-05-18T04:03:02.9900305Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_dynamic_arange_out
2022-05-18T04:03:02.9902042Z   /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:426: UserWarning: The number of elements in the out tensor of shape [1] is 1 which does not match the computed number of elements 8. Note that this may occur as a result of rounding error. The out tensor will be resized to a tensor of shape (8,). (Triggered internally at  /var/lib/jenkins/workspace/aten/src/ATen/native/RangeFactories.cpp:187.)
2022-05-18T04:03:02.9903090Z     return callable(*args, **kwargs)
2022-05-18T04:03:02.9903319Z 
2022-05-18T04:03:02.9903634Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_dynamic_arange_out
2022-05-18T04:03:02.9904742Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2561: UserWarning: The number of elements in the out tensor of shape [1] is 1 which does not match the computed number of elements 8. Note that this may occur as a result of rounding error. The out tensor will be resized to a tensor of shape (8,). (Triggered internally at  /var/lib/jenkins/workspace/aten/src/ATen/native/RangeFactories.cpp:187.)
2022-05-18T04:03:02.9905699Z     return torch.arange(end, out=out_t)
2022-05-18T04:03:02.9905920Z 
2022-05-18T04:03:02.9906715Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_dynamic_arange_out
2022-05-18T04:03:02.9907732Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2560: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:03:02.9908697Z     out_t = torch.tensor([1], dtype=torch.int64)
2022-05-18T04:03:02.9908927Z 
2022-05-18T04:03:02.9909214Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_dynamic_arange_start_out
2022-05-18T04:03:02.9910803Z   /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:426: UserWarning: The number of elements in the out tensor of shape [1] is 1 which does not match the computed number of elements 6. Note that this may occur as a result of rounding error. The out tensor will be resized to a tensor of shape (6,). (Triggered internally at  /var/lib/jenkins/workspace/aten/src/ATen/native/RangeFactories.cpp:187.)
2022-05-18T04:03:02.9911717Z     return callable(*args, **kwargs)
2022-05-18T04:03:02.9911924Z 
2022-05-18T04:03:02.9912207Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_dynamic_arange_start_out
2022-05-18T04:03:02.9913283Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2571: UserWarning: The number of elements in the out tensor of shape [1] is 1 which does not match the computed number of elements 6. Note that this may occur as a result of rounding error. The out tensor will be resized to a tensor of shape (6,). (Triggered internally at  /var/lib/jenkins/workspace/aten/src/ATen/native/RangeFactories.cpp:187.)
2022-05-18T04:03:02.9914191Z     return torch.arange(start.size(0), end, out=out_t)
2022-05-18T04:03:02.9914414Z 
2022-05-18T04:03:02.9914676Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_dynamic_arange_start_out
2022-05-18T04:03:02.9915651Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2570: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:03:02.9916597Z     out_t = torch.tensor([1], dtype=torch.int64)
2022-05-18T04:03:02.9916806Z 
2022-05-18T04:03:02.9917048Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_dynamic_chunk
2022-05-18T04:03:02.9918286Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:6019: TracerWarning: Converting a tensor to a Python integer might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:03:02.9918916Z     return torch.chunk(x, x.size(0), dim=self.dim)
2022-05-18T04:03:02.9919103Z 
2022-05-18T04:03:02.9919360Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_dynamic_expand_as
2022-05-18T04:03:02.9920597Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:4515: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:03:02.9921608Z     x[:, x.size(0) :] = torch.tensor([1, 2, 3])
2022-05-18T04:03:02.9921857Z 
2022-05-18T04:03:02.9922065Z test/onnx/test_pytorch_onnx_onnxruntime.py: 129 warnings
2022-05-18T04:03:02.9923595Z   /opt/conda/lib/python3.7/site-packages/torch/nn/utils/rnn.py:250: TracerWarning: torch.as_tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:03:02.9924651Z     lengths = torch.as_tensor(lengths, dtype=torch.int64)
2022-05-18T04:03:02.9924932Z 
2022-05-18T04:03:02.9925157Z test/onnx/test_pytorch_onnx_onnxruntime.py: 65 warnings
2022-05-18T04:03:02.9926561Z   /opt/conda/lib/python3.7/site-packages/torch/nn/modules/rnn.py:436: TracerWarning: Converting a tensor to a Python integer might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:03:02.9927504Z     max_batch_size = int(batch_sizes[0])
2022-05-18T04:03:02.9927751Z 
2022-05-18T04:03:02.9927979Z test/onnx/test_pytorch_onnx_onnxruntime.py: 208 warnings
2022-05-18T04:03:02.9929376Z   /opt/conda/lib/python3.7/site-packages/torch/nn/modules/rnn.py:204: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:03:02.9930392Z     if self.input_size != input.size(-1):
2022-05-18T04:03:02.9930644Z 
2022-05-18T04:03:02.9930848Z test/onnx/test_pytorch_onnx_onnxruntime.py: 129 warnings
2022-05-18T04:03:02.9932221Z   /opt/conda/lib/python3.7/site-packages/torch/nn/modules/rnn.py:211: TracerWarning: Converting a tensor to a Python integer might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:03:02.9933132Z     mini_batch = int(batch_sizes[0])
2022-05-18T04:03:02.9933371Z 
2022-05-18T04:03:02.9933596Z test/onnx/test_pytorch_onnx_onnxruntime.py: 208 warnings
2022-05-18T04:03:02.9935052Z   /opt/conda/lib/python3.7/site-packages/torch/nn/modules/rnn.py:225: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:03:02.9936113Z     if hx.size() != expected_hidden_size:
2022-05-18T04:03:02.9936361Z 
2022-05-18T04:03:02.9936593Z test/onnx/test_pytorch_onnx_onnxruntime.py: 129 warnings
2022-05-18T04:03:02.9937996Z   /opt/conda/lib/python3.7/site-packages/torch/nn/utils/rnn.py:330: TracerWarning: Converting a tensor to a Python integer might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:03:02.9939036Z     sequence.data, sequence.batch_sizes, batch_first, padding_value, max_seq_length)
2022-05-18T04:03:02.9939376Z 
2022-05-18T04:03:02.9939587Z test/onnx/test_pytorch_onnx_onnxruntime.py: 49 warnings
2022-05-18T04:03:02.9941188Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/symbolic_opset9.py:3097: UserWarning: Exporting a model to ONNX with a batch_size other than 1, with a variable length with RNN_RELU can cause an error when running the ONNX model with a different batch size. Make sure to save the model with a batch size of 1, or define the initial states (h0/c0) as inputs of the model. 
2022-05-18T04:03:02.9942265Z     + "or define the initial states (h0/c0) as inputs of the model. "
2022-05-18T04:03:02.9942556Z 
2022-05-18T04:03:02.9942788Z test/onnx/test_pytorch_onnx_onnxruntime.py: 48 warnings
2022-05-18T04:03:02.9943911Z   /opt/conda/lib/python3.7/site-packages/torch/nn/modules/rnn.py:65: UserWarning: dropout option adds dropout after all but last recurrent layer, so non-zero dropout expects num_layers greater than 1, but got dropout=0.2 and num_layers=1
2022-05-18T04:03:02.9944685Z     "num_layers={}".format(dropout, num_layers))
2022-05-18T04:03:02.9944938Z 
2022-05-18T04:03:02.9945163Z test/onnx/test_pytorch_onnx_onnxruntime.py: 51 warnings
2022-05-18T04:03:02.9946686Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/symbolic_opset9.py:3097: UserWarning: Exporting a model to ONNX with a batch_size other than 1, with a variable length with RNN_TANH can cause an error when running the ONNX model with a different batch size. Make sure to save the model with a batch size of 1, or define the initial states (h0/c0) as inputs of the model. 
2022-05-18T04:03:02.9947740Z     + "or define the initial states (h0/c0) as inputs of the model. "
2022-05-18T04:03:02.9948035Z 
2022-05-18T04:03:02.9948408Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_embedding
2022-05-18T04:03:02.9949067Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_embedding_module
2022-05-18T04:03:02.9950550Z   /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:2130: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:03:02.9951603Z     assert padding_idx < weight.size(0), "Padding_idx must be within num_embeddings"
2022-05-18T04:03:02.9951938Z 
2022-05-18T04:03:02.9952238Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_embedding
2022-05-18T04:03:02.9953462Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/symbolic_opset9.py:538: UserWarning: Warning: ONNX export of embedding with padding_idx >= 0 for training mode. ONNX does not support not updating the embedding vector at padding_idx during training.
2022-05-18T04:03:02.9954322Z     "Warning: ONNX export of embedding with padding_idx >= 0 "
2022-05-18T04:03:02.9954615Z 
2022-05-18T04:03:02.9954970Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_embedding_bag_1d_per_sample_weights
2022-05-18T04:03:02.9955714Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_embedding_bag_2d_per_sample_weights
2022-05-18T04:03:02.9957321Z   /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:2269: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:03:02.9958358Z     if per_sample_weights is not None and input.size() != per_sample_weights.size():
2022-05-18T04:03:02.9958692Z 
2022-05-18T04:03:02.9959038Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_embedding_bag_2d_per_sample_weights
2022-05-18T04:03:02.9960252Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/utils.py:1522: UserWarning: No names were found for specified dynamic axes of provided input.Automatically generated names will be applied to each dynamic axes of input w
2022-05-18T04:03:02.9960959Z     key
2022-05-18T04:03:02.9961140Z 
2022-05-18T04:03:02.9961429Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_eye
2022-05-18T04:03:02.9962999Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:6400: TracerWarning: Converting a tensor to a Python integer might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:03:02.9963962Z     torch.eye(x.size()[1], 3),
2022-05-18T04:03:02.9964185Z 
2022-05-18T04:03:02.9964478Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_eye
2022-05-18T04:03:02.9965925Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:6402: TracerWarning: Converting a tensor to a Python integer might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:03:02.9966892Z     torch.eye(x.size()[1], 2, dtype=torch.long),
2022-05-18T04:03:02.9967142Z 
2022-05-18T04:03:02.9967423Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_eye
2022-05-18T04:03:02.9968897Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:6403: TracerWarning: Converting a tensor to a Python integer might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:03:02.9969813Z     torch.eye(x.shape[0]),
2022-05-18T04:03:02.9970023Z 
2022-05-18T04:03:02.9970314Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_eye
2022-05-18T04:03:02.9971788Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:6404: TracerWarning: Converting a tensor to a Python integer might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:03:02.9972785Z     torch.eye(x.shape[0], dtype=torch.float64),
2022-05-18T04:03:02.9973048Z 
2022-05-18T04:03:02.9973357Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_faster_rcnn
2022-05-18T04:03:02.9974736Z   /opt/conda/lib/python3.7/site-packages/torch/functional.py:478: UserWarning: torch.meshgrid: in an upcoming release, it will be required to pass the indexing argument. (Triggered internally at  /var/lib/jenkins/workspace/aten/src/ATen/native/TensorShape.cpp:2904.)
2022-05-18T04:03:02.9975781Z     return _VF.meshgrid(tensors, **kwargs)  # type: ignore[attr-defined]
2022-05-18T04:03:02.9976094Z 
2022-05-18T04:03:02.9976393Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_faster_rcnn
2022-05-18T04:03:02.9977044Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_mask_rcnn
2022-05-18T04:03:02.9977678Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_transform_images
2022-05-18T04:03:02.9979508Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/detection/transform.py:126: TracerWarning: torch.as_tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:03:02.9980663Z     mean = torch.as_tensor(self.image_mean, dtype=dtype, device=device)
2022-05-18T04:03:02.9980968Z 
2022-05-18T04:03:02.9981281Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_faster_rcnn
2022-05-18T04:03:02.9981914Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_mask_rcnn
2022-05-18T04:03:02.9982559Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_transform_images
2022-05-18T04:03:02.9984324Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/detection/transform.py:127: TracerWarning: torch.as_tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:03:02.9985472Z     std = torch.as_tensor(self.image_std, dtype=dtype, device=device)
2022-05-18T04:03:02.9985779Z 
2022-05-18T04:03:02.9986089Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_faster_rcnn
2022-05-18T04:03:02.9986787Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_interpolate_adaptive_pooling_error
2022-05-18T04:03:02.9987486Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_mask_rcnn
2022-05-18T04:03:02.9988128Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_resize_images
2022-05-18T04:03:02.9988870Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_transform_images
2022-05-18T04:03:02.9990443Z   /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:3846: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:03:02.9991416Z     for i in range(dim)
2022-05-18T04:03:02.9991632Z 
2022-05-18T04:03:02.9991934Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_faster_rcnn
2022-05-18T04:03:02.9992591Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_mask_rcnn
2022-05-18T04:03:02.9993221Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_resize_images
2022-05-18T04:03:02.9993873Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_transform_images
2022-05-18T04:03:02.9995174Z   /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:3846: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor).
2022-05-18T04:03:02.9995964Z     for i in range(dim)
2022-05-18T04:03:02.9996157Z 
2022-05-18T04:03:02.9996466Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_faster_rcnn
2022-05-18T04:03:02.9997104Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_mask_rcnn
2022-05-18T04:03:02.9997737Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_roi_heads
2022-05-18T04:03:02.9998331Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_rpn
2022-05-18T04:03:03.0000180Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/detection/anchor_utils.py:148: UserWarning: __floordiv__ is deprecated, and its behavior will change in a future version of pytorch. It currently rounds toward 0 (like the 'trunc' function NOT 'floor'). This results in incorrect rounding for negative values. To keep the current behavior, use torch.div(a, b, rounding_mode='trunc'), or for actual floor division, use torch.div(a, b, rounding_mode='floor').
2022-05-18T04:03:03.0001575Z     torch.tensor(image_size[1] // g[1], dtype=torch.int64, device=device)] for g in grid_sizes]
2022-05-18T04:03:03.0001913Z 
2022-05-18T04:03:03.0002212Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_faster_rcnn
2022-05-18T04:03:03.0002831Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_mask_rcnn
2022-05-18T04:03:03.0003430Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_roi_heads
2022-05-18T04:03:03.0004035Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_rpn
2022-05-18T04:03:03.0005791Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/detection/anchor_utils.py:148: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:03:03.0007001Z     torch.tensor(image_size[1] // g[1], dtype=torch.int64, device=device)] for g in grid_sizes]
2022-05-18T04:03:03.0007329Z 
2022-05-18T04:03:03.0007626Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_faster_rcnn
2022-05-18T04:03:03.0008241Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_mask_rcnn
2022-05-18T04:03:03.0008866Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_roi_heads
2022-05-18T04:03:03.0009469Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_rpn
2022-05-18T04:03:03.0010806Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/detection/anchor_utils.py:148: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor).
2022-05-18T04:03:03.0011810Z     torch.tensor(image_size[1] // g[1], dtype=torch.int64, device=device)] for g in grid_sizes]
2022-05-18T04:03:03.0012125Z 
2022-05-18T04:03:03.0012334Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_faster_rcnn
2022-05-18T04:03:03.0012765Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_mask_rcnn
2022-05-18T04:03:03.0014031Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/detection/anchor_utils.py:61: TracerWarning: torch.as_tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:03:03.0015026Z     scales = torch.as_tensor(scales, dtype=dtype, device=device)
2022-05-18T04:03:03.0015252Z 
2022-05-18T04:03:03.0015504Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_faster_rcnn
2022-05-18T04:03:03.0016002Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_mask_rcnn
2022-05-18T04:03:03.0017337Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/detection/anchor_utils.py:62: TracerWarning: torch.as_tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:03:03.0018213Z     aspect_ratios = torch.as_tensor(aspect_ratios, dtype=dtype, device=device)
2022-05-18T04:03:03.0018443Z 
2022-05-18T04:03:03.0018806Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_faster_rcnn
2022-05-18T04:03:03.0019294Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_mask_rcnn
2022-05-18T04:03:03.0019790Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_roi_heads
2022-05-18T04:03:03.0020233Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_rpn
2022-05-18T04:03:03.0021482Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/detection/anchor_utils.py:136: TracerWarning: Converting a tensor to a Python integer might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:03:03.0022247Z     key = str(grid_sizes) + str(strides)
2022-05-18T04:03:03.0022432Z 
2022-05-18T04:03:03.0022669Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_faster_rcnn
2022-05-18T04:03:03.0023153Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_mask_rcnn
2022-05-18T04:03:03.0023610Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_roi_heads
2022-05-18T04:03:03.0024183Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_rpn
2022-05-18T04:03:03.0025343Z   /opt/conda/lib/python3.7/site-packages/torch/_tensor_str.py:424: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:03:03.0026065Z     if self.numel() == 0 and not self.is_sparse:
2022-05-18T04:03:03.0026241Z 
2022-05-18T04:03:03.0026473Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_faster_rcnn
2022-05-18T04:03:03.0026961Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_mask_rcnn
2022-05-18T04:03:03.0027460Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_roi_heads
2022-05-18T04:03:03.0027899Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_rpn
2022-05-18T04:03:03.0029146Z   /opt/conda/lib/python3.7/site-packages/torch/_tensor_str.py:237: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:03:03.0029828Z     if self.numel() == 0:
2022-05-18T04:03:03.0029998Z 
2022-05-18T04:03:03.0030233Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_faster_rcnn
2022-05-18T04:03:03.0030719Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_mask_rcnn
2022-05-18T04:03:03.0031183Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_roi_heads
2022-05-18T04:03:03.0031676Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_rpn
2022-05-18T04:03:03.0032855Z   /opt/conda/lib/python3.7/site-packages/torch/_tensor_str.py:270: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:03:03.0033644Z     formatter = _Formatter(get_summarized_data(self) if summarize else self)
2022-05-18T04:03:03.0033879Z 
2022-05-18T04:03:03.0034116Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_faster_rcnn
2022-05-18T04:03:03.0034618Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_mask_rcnn
2022-05-18T04:03:03.0035108Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_roi_heads
2022-05-18T04:03:03.0035577Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_rpn
2022-05-18T04:03:03.0036755Z   /opt/conda/lib/python3.7/site-packages/torch/_tensor_str.py:98: TracerWarning: Iterating over a tensor might cause the trace to be incorrect. Passing a tensor of different shape won't change the number of iterations executed (and might lead to errors or silently give incorrect results).
2022-05-18T04:03:03.0037424Z     for value in tensor_view:
2022-05-18T04:03:03.0037598Z 
2022-05-18T04:03:03.0037828Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_faster_rcnn
2022-05-18T04:03:03.0038314Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_mask_rcnn
2022-05-18T04:03:03.0038806Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_roi_heads
2022-05-18T04:03:03.0039282Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_rpn
2022-05-18T04:03:03.0040435Z   /opt/conda/lib/python3.7/site-packages/torch/_tensor.py:662: TracerWarning: Converting a tensor to a Python number might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:03:03.0041105Z     return self.item().__format__(format_spec)
2022-05-18T04:03:03.0041358Z 
2022-05-18T04:03:03.0041605Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_faster_rcnn
2022-05-18T04:03:03.0042107Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_mask_rcnn
2022-05-18T04:03:03.0042597Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_roi_heads
2022-05-18T04:03:03.0043053Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_rpn
2022-05-18T04:03:03.0044208Z   /opt/conda/lib/python3.7/site-packages/torch/_tensor_str.py:176: TracerWarning: Converting a tensor to a Python number might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:03:03.0044935Z     return formatter1.format(self.item())
2022-05-18T04:03:03.0045137Z 
2022-05-18T04:03:03.0045375Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_faster_rcnn
2022-05-18T04:03:03.0045845Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_mask_rcnn
2022-05-18T04:03:03.0046317Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_roi_heads
2022-05-18T04:03:03.0046789Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_rpn
2022-05-18T04:03:03.0048221Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/detection/rpn.py:85: UserWarning: __floordiv__ is deprecated, and its behavior will change in a future version of pytorch. It currently rounds toward 0 (like the 'trunc' function NOT 'floor'). This results in incorrect rounding for negative values. To keep the current behavior, use torch.div(a, b, rounding_mode='trunc'), or for actual floor division, use torch.div(a, b, rounding_mode='floor').
2022-05-18T04:03:03.0049044Z     A = Ax4 // 4
2022-05-18T04:03:03.0049184Z 
2022-05-18T04:03:03.0049408Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_faster_rcnn
2022-05-18T04:03:03.0049884Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_mask_rcnn
2022-05-18T04:03:03.0050359Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_roi_heads
2022-05-18T04:03:03.0050799Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_rpn
2022-05-18T04:03:03.0052241Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/detection/rpn.py:86: UserWarning: __floordiv__ is deprecated, and its behavior will change in a future version of pytorch. It currently rounds toward 0 (like the 'trunc' function NOT 'floor'). This results in incorrect rounding for negative values. To keep the current behavior, use torch.div(a, b, rounding_mode='trunc'), or for actual floor division, use torch.div(a, b, rounding_mode='floor').
2022-05-18T04:03:03.0053176Z     C = AxC // A
2022-05-18T04:03:03.0053329Z 
2022-05-18T04:03:03.0053551Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_faster_rcnn
2022-05-18T04:03:03.0053991Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_mask_rcnn
2022-05-18T04:03:03.0054449Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_roi_heads
2022-05-18T04:03:03.0055034Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_rpn
2022-05-18T04:03:03.0056269Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/detection/_utils.py:177: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:03:03.0056964Z     if box_sum > 0:
2022-05-18T04:03:03.0057111Z 
2022-05-18T04:03:03.0057334Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_faster_rcnn
2022-05-18T04:03:03.0057942Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_mask_rcnn
2022-05-18T04:03:03.0058455Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_roi_heads
2022-05-18T04:03:03.0058946Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_rpn
2022-05-18T04:03:03.0060298Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/detection/_utils.py:218: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:03:03.0061332Z     pred_boxes1 = pred_ctr_x - torch.tensor(0.5, dtype=pred_ctr_x.dtype, device=pred_w.device) * pred_w
2022-05-18T04:03:03.0061612Z 
2022-05-18T04:03:03.0061858Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_faster_rcnn
2022-05-18T04:03:03.0062350Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_mask_rcnn
2022-05-18T04:03:03.0062804Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_roi_heads
2022-05-18T04:03:03.0063279Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_rpn
2022-05-18T04:03:03.0064628Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/detection/_utils.py:219: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:03:03.0065663Z     pred_boxes2 = pred_ctr_y - torch.tensor(0.5, dtype=pred_ctr_y.dtype, device=pred_h.device) * pred_h
2022-05-18T04:03:03.0065937Z 
2022-05-18T04:03:03.0066177Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_faster_rcnn
2022-05-18T04:03:03.0066640Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_mask_rcnn
2022-05-18T04:03:03.0067106Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_roi_heads
2022-05-18T04:03:03.0067558Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_rpn
2022-05-18T04:03:03.0068883Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/detection/_utils.py:220: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:03:03.0069868Z     pred_boxes3 = pred_ctr_x + torch.tensor(0.5, dtype=pred_ctr_x.dtype, device=pred_w.device) * pred_w
2022-05-18T04:03:03.0070149Z 
2022-05-18T04:03:03.0070388Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_faster_rcnn
2022-05-18T04:03:03.0070865Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_mask_rcnn
2022-05-18T04:03:03.0071325Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_roi_heads
2022-05-18T04:03:03.0071774Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_rpn
2022-05-18T04:03:03.0073271Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/detection/_utils.py:221: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:03:03.0074363Z     pred_boxes4 = pred_ctr_y + torch.tensor(0.5, dtype=pred_ctr_y.dtype, device=pred_h.device) * pred_h
2022-05-18T04:03:03.0074644Z 
2022-05-18T04:03:03.0074874Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_faster_rcnn
2022-05-18T04:03:03.0075384Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_mask_rcnn
2022-05-18T04:03:03.0075827Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_roi_heads
2022-05-18T04:03:03.0076262Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_rpn
2022-05-18T04:03:03.0077425Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/detection/_utils.py:182: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:03:03.0078182Z     if box_sum > 0:
2022-05-18T04:03:03.0078344Z 
2022-05-18T04:03:03.0078603Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_faster_rcnn
2022-05-18T04:03:03.0079143Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_mask_rcnn
2022-05-18T04:03:03.0079646Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_roi_heads
2022-05-18T04:03:03.0080110Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_rpn
2022-05-18T04:03:03.0081431Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/detection/rpn.py:24: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:03:03.0082299Z     (torch.tensor([orig_pre_nms_top_n], dtype=num_anchors.dtype),
2022-05-18T04:03:03.0082539Z 
2022-05-18T04:03:03.0082777Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_faster_rcnn
2022-05-18T04:03:03.0083257Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_mask_rcnn
2022-05-18T04:03:03.0083739Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_roi_heads
2022-05-18T04:03:03.0084214Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_rpn
2022-05-18T04:03:03.0085421Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/detection/rpn.py:225: TracerWarning: Converting a tensor to a Python integer might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:03:03.0086119Z     _, top_n_idx = ob.topk(pre_nms_top_n, dim=1)
2022-05-18T04:03:03.0086294Z 
2022-05-18T04:03:03.0086545Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_faster_rcnn
2022-05-18T04:03:03.0087112Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_mask_rcnn
2022-05-18T04:03:03.0087589Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_roi_heads
2022-05-18T04:03:03.0088045Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_rpn
2022-05-18T04:03:03.0089192Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/detection/rpn.py:259: TracerWarning: Iterating over a tensor might cause the trace to be incorrect. Passing a tensor of different shape won't change the number of iterations executed (and might lead to errors or silently give incorrect results).
2022-05-18T04:03:03.0089979Z     for boxes, scores, lvl, img_shape in zip(proposals, objectness_prob, levels, image_shapes):
2022-05-18T04:03:03.0090247Z 
2022-05-18T04:03:03.0090486Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_faster_rcnn
2022-05-18T04:03:03.0090928Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_mask_rcnn
2022-05-18T04:03:03.0092169Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/ops/poolers.py:178: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:03:03.0092896Z     max_x = max(shape[0], max_x)
2022-05-18T04:03:03.0093073Z 
2022-05-18T04:03:03.0093304Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_faster_rcnn
2022-05-18T04:03:03.0093778Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_mask_rcnn
2022-05-18T04:03:03.0095072Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/ops/poolers.py:179: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:03:03.0095791Z     max_y = max(shape[1], max_y)
2022-05-18T04:03:03.0095961Z 
2022-05-18T04:03:03.0096200Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_faster_rcnn
2022-05-18T04:03:03.0096679Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_mask_rcnn
2022-05-18T04:03:03.0097159Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_multi_scale_roi_align
2022-05-18T04:03:03.0098363Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/ops/poolers.py:163: TracerWarning: Converting a tensor to a Python float might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:03:03.0099094Z     approx_scale = float(s1) / float(s2)
2022-05-18T04:03:03.0099279Z 
2022-05-18T04:03:03.0099527Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_faster_rcnn
2022-05-18T04:03:03.0099998Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_mask_rcnn
2022-05-18T04:03:03.0100503Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_multi_scale_roi_align
2022-05-18T04:03:03.0101789Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/ops/poolers.py:164: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:03:03.0102576Z     scale = 2 ** float(torch.tensor(approx_scale).log2().round())
2022-05-18T04:03:03.0102789Z 
2022-05-18T04:03:03.0103015Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_faster_rcnn
2022-05-18T04:03:03.0103635Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_mask_rcnn
2022-05-18T04:03:03.0104132Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_multi_scale_roi_align
2022-05-18T04:03:03.0105340Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/ops/poolers.py:164: TracerWarning: Converting a tensor to a Python float might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:03:03.0106127Z     scale = 2 ** float(torch.tensor(approx_scale).log2().round())
2022-05-18T04:03:03.0106352Z 
2022-05-18T04:03:03.0106574Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_faster_rcnn
2022-05-18T04:03:03.0107064Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_mask_rcnn
2022-05-18T04:03:03.0107588Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_multi_scale_roi_align
2022-05-18T04:03:03.0109114Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/ops/poolers.py:185: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:03:03.0110067Z     lvl_min = -torch.log2(torch.tensor(scales[0], dtype=torch.float32)).item()
2022-05-18T04:03:03.0110311Z 
2022-05-18T04:03:03.0110543Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_faster_rcnn
2022-05-18T04:03:03.0111045Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_mask_rcnn
2022-05-18T04:03:03.0111548Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_multi_scale_roi_align
2022-05-18T04:03:03.0112762Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/ops/poolers.py:185: TracerWarning: Converting a tensor to a Python number might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:03:03.0113669Z     lvl_min = -torch.log2(torch.tensor(scales[0], dtype=torch.float32)).item()
2022-05-18T04:03:03.0113922Z 
2022-05-18T04:03:03.0114169Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_faster_rcnn
2022-05-18T04:03:03.0114655Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_mask_rcnn
2022-05-18T04:03:03.0115129Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_multi_scale_roi_align
2022-05-18T04:03:03.0116447Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/ops/poolers.py:186: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:03:03.0117414Z     lvl_max = -torch.log2(torch.tensor(scales[-1], dtype=torch.float32)).item()
2022-05-18T04:03:03.0117665Z 
2022-05-18T04:03:03.0117899Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_faster_rcnn
2022-05-18T04:03:03.0118370Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_mask_rcnn
2022-05-18T04:03:03.0118857Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_multi_scale_roi_align
2022-05-18T04:03:03.0120081Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/ops/poolers.py:186: TracerWarning: Converting a tensor to a Python number might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:03:03.0121039Z     lvl_max = -torch.log2(torch.tensor(scales[-1], dtype=torch.float32)).item()
2022-05-18T04:03:03.0121284Z 
2022-05-18T04:03:03.0121523Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_faster_rcnn
2022-05-18T04:03:03.0121995Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_mask_rcnn
2022-05-18T04:03:03.0122498Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_multi_scale_roi_align
2022-05-18T04:03:03.0122990Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_roi_heads
2022-05-18T04:03:03.0124265Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/ops/poolers.py:79: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:03:03.0125161Z     target_lvls = torch.floor(self.lvl0 + torch.log2(s / self.s0) + torch.tensor(self.eps, dtype=s.dtype))
2022-05-18T04:03:03.0125437Z 
2022-05-18T04:03:03.0125778Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_faster_rcnn
2022-05-18T04:03:03.0126269Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_mask_rcnn
2022-05-18T04:03:03.0126763Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_multi_scale_roi_align
2022-05-18T04:03:03.0127257Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_roi_heads
2022-05-18T04:03:03.0128397Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/ops/poolers.py:239: TracerWarning: Using len to get tensor shape might cause the trace to be incorrect. Recommended usage would be tensor.shape[0]. Passing a tensor of different shape might lead to errors or silently give incorrect results.
2022-05-18T04:03:03.0129068Z     num_rois = len(rois)
2022-05-18T04:03:03.0129217Z 
2022-05-18T04:03:03.0129427Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_faster_rcnn
2022-05-18T04:03:03.0129899Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_mask_rcnn
2022-05-18T04:03:03.0130383Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_multi_scale_roi_align
2022-05-18T04:03:03.0130890Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_roi_align
2022-05-18T04:03:03.0131370Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_roi_align_aligned
2022-05-18T04:03:03.0131798Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_roi_heads
2022-05-18T04:03:03.0132281Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_roi_pool
2022-05-18T04:03:03.0133610Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/ops/_utils.py:33: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:03:03.0134628Z     assert boxes.size(1) == 5, 'The boxes tensor shape is not correct as Tensor[K, 5]'
2022-05-18T04:03:03.0135171Z 
2022-05-18T04:03:03.0135348Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_faster_rcnn
2022-05-18T04:03:03.0135697Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_mask_rcnn
2022-05-18T04:03:03.0136036Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_roi_heads
2022-05-18T04:03:03.0136975Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/detection/transform.py:275: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:03:03.0137679Z     for s, s_orig in zip(new_size, original_size)
2022-05-18T04:03:03.0137809Z 
2022-05-18T04:03:03.0137973Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_faster_rcnn
2022-05-18T04:03:03.0138309Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_mask_rcnn
2022-05-18T04:03:03.0138643Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_roi_heads
2022-05-18T04:03:03.0139388Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/detection/transform.py:275: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor).
2022-05-18T04:03:03.0139865Z     for s, s_orig in zip(new_size, original_size)
2022-05-18T04:03:03.0140003Z 
2022-05-18T04:03:03.0140164Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_faster_rcnn
2022-05-18T04:03:03.0140627Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_index_put_slice_index
2022-05-18T04:03:03.0140978Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_mask_rcnn
2022-05-18T04:03:03.0141297Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_roi_heads
2022-05-18T04:03:03.0141623Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_rpn
2022-05-18T04:03:03.0141979Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_tensor_index_advanced_indexing
2022-05-18T04:03:03.0142358Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_tensor_index_advanced_indexing_consecutive
2022-05-18T04:03:03.0142756Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_tensor_index_advanced_indexing_ellipsis
2022-05-18T04:03:03.0143686Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/symbolic_opset9.py:4017: UserWarning: Exporting aten::index operator of advanced indexing in opset 11 is achieved by combination of multiple ONNX operators, including Reshape, Transpose, Concat, and Gather. If indices include negative values, the exported graph will produce incorrect results.
2022-05-18T04:03:03.0144276Z     + "If indices include negative values, the exported graph will produce incorrect results."
2022-05-18T04:03:03.0144465Z 
2022-05-18T04:03:03.0144626Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_faster_rcnn
2022-05-18T04:03:03.0144947Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_mask_rcnn
2022-05-18T04:03:03.0145280Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_roi_heads
2022-05-18T04:03:03.0145606Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_rpn
2022-05-18T04:03:03.0146502Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/symbolic_opset9.py:757: UserWarning: This model contains a squeeze operation on dimension 1 on an input with unknown shape. Note that if the size of dimension 1 of the input is not 1, the ONNX model will return an error. Opset version 11 supports squeezing on non-singleton dimensions, it is recommended to export this model using opset version 11 or higher.
2022-05-18T04:03:03.0147029Z     + "version 11 or higher."
2022-05-18T04:03:03.0147148Z 
2022-05-18T04:03:03.0147309Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_faster_rcnn
2022-05-18T04:03:03.0147643Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_mask_rcnn
2022-05-18T04:03:03.0148349Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/utils.py:1522: UserWarning: No names were found for specified dynamic axes of provided input.Automatically generated names will be applied to each dynamic axes of input images_tensors
2022-05-18T04:03:03.0148762Z     key
2022-05-18T04:03:03.0148856Z 
2022-05-18T04:03:03.0149015Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_faster_rcnn
2022-05-18T04:03:03.0149651Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/utils.py:1522: UserWarning: No names were found for specified dynamic axes of provided input.Automatically generated names will be applied to each dynamic axes of input outputs
2022-05-18T04:03:03.0150031Z     key
2022-05-18T04:03:03.0150126Z 
2022-05-18T04:03:03.0150274Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_faster_rcnn
2022-05-18T04:03:03.0150608Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_mask_rcnn
2022-05-18T04:03:03.0151195Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:784: DeprecationWarning: BILINEAR is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.BILINEAR instead.
2022-05-18T04:03:03.0151614Z     image = Image.open(path).convert("RGB").resize(size, Image.BILINEAR)
2022-05-18T04:03:03.0151784Z 
2022-05-18T04:03:03.0151928Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_floor_div
2022-05-18T04:03:03.0152702Z   /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:426: UserWarning: floor_divide is deprecated, and will be removed in a future version of pytorch. It currently rounds toward 0 (like the 'trunc' function NOT 'floor'). This results in incorrect rounding for negative values.
2022-05-18T04:03:03.0153539Z   To keep the current behavior, use torch.div(a, b, rounding_mode='trunc'), or for actual floor division, use torch.div(a, b, rounding_mode='floor'). (Triggered internally at  /var/lib/jenkins/workspace/aten/src/ATen/native/BinaryOps.cpp:599.)
2022-05-18T04:03:03.0153940Z     return callable(*args, **kwargs)
2022-05-18T04:03:03.0154068Z 
2022-05-18T04:03:03.0154227Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_floor_div
2022-05-18T04:03:03.0155166Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2269: UserWarning: __floordiv__ is deprecated, and its behavior will change in a future version of pytorch. It currently rounds toward 0 (like the 'trunc' function NOT 'floor'). This results in incorrect rounding for negative values. To keep the current behavior, use torch.div(a, b, rounding_mode='trunc'), or for actual floor division, use torch.div(a, b, rounding_mode='floor').
2022-05-18T04:03:03.0155723Z     x // 3,
2022-05-18T04:03:03.0155823Z 
2022-05-18T04:03:03.0155982Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_floor_div
2022-05-18T04:03:03.0156925Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2270: UserWarning: __floordiv__ is deprecated, and its behavior will change in a future version of pytorch. It currently rounds toward 0 (like the 'trunc' function NOT 'floor'). This results in incorrect rounding for negative values. To keep the current behavior, use torch.div(a, b, rounding_mode='trunc'), or for actual floor division, use torch.div(a, b, rounding_mode='floor').
2022-05-18T04:03:03.0157481Z     x // 2.0,
2022-05-18T04:03:03.0157571Z 
2022-05-18T04:03:03.0157728Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_floor_div
2022-05-18T04:03:03.0158682Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2271: UserWarning: __floordiv__ is deprecated, and its behavior will change in a future version of pytorch. It currently rounds toward 0 (like the 'trunc' function NOT 'floor'). This results in incorrect rounding for negative values. To keep the current behavior, use torch.div(a, b, rounding_mode='trunc'), or for actual floor division, use torch.div(a, b, rounding_mode='floor').
2022-05-18T04:03:03.0159254Z     x.to(dtype=torch.float64) // 3,
2022-05-18T04:03:03.0159388Z 
2022-05-18T04:03:03.0159547Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_floor_div
2022-05-18T04:03:03.0160488Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2272: UserWarning: __floordiv__ is deprecated, and its behavior will change in a future version of pytorch. It currently rounds toward 0 (like the 'trunc' function NOT 'floor'). This results in incorrect rounding for negative values. To keep the current behavior, use torch.div(a, b, rounding_mode='trunc'), or for actual floor division, use torch.div(a, b, rounding_mode='floor').
2022-05-18T04:03:03.0161076Z     x.to(dtype=torch.float64) // 2.0,
2022-05-18T04:03:03.0161207Z 
2022-05-18T04:03:03.0161366Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_floor_div
2022-05-18T04:03:03.0162313Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2273: UserWarning: __floordiv__ is deprecated, and its behavior will change in a future version of pytorch. It currently rounds toward 0 (like the 'trunc' function NOT 'floor'). This results in incorrect rounding for negative values. To keep the current behavior, use torch.div(a, b, rounding_mode='trunc'), or for actual floor division, use torch.div(a, b, rounding_mode='floor').
2022-05-18T04:03:03.0162881Z     x.to(dtype=torch.int64) // 3,
2022-05-18T04:03:03.0163005Z 
2022-05-18T04:03:03.0163194Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_floor_div
2022-05-18T04:03:03.0164126Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2274: UserWarning: __floordiv__ is deprecated, and its behavior will change in a future version of pytorch. It currently rounds toward 0 (like the 'trunc' function NOT 'floor'). This results in incorrect rounding for negative values. To keep the current behavior, use torch.div(a, b, rounding_mode='trunc'), or for actual floor division, use torch.div(a, b, rounding_mode='floor').
2022-05-18T04:03:03.0164696Z     x.to(dtype=torch.int64) // 2.0,
2022-05-18T04:03:03.0164823Z 
2022-05-18T04:03:03.0164981Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_floor_div
2022-05-18T04:03:03.0165924Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2275: UserWarning: __floordiv__ is deprecated, and its behavior will change in a future version of pytorch. It currently rounds toward 0 (like the 'trunc' function NOT 'floor'). This results in incorrect rounding for negative values. To keep the current behavior, use torch.div(a, b, rounding_mode='trunc'), or for actual floor division, use torch.div(a, b, rounding_mode='floor').
2022-05-18T04:03:03.0166499Z     x // (y + 1.0).to(dtype=torch.int64),
2022-05-18T04:03:03.0166626Z 
2022-05-18T04:03:03.0166773Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_floor_div
2022-05-18T04:03:03.0167707Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2276: UserWarning: __floordiv__ is deprecated, and its behavior will change in a future version of pytorch. It currently rounds toward 0 (like the 'trunc' function NOT 'floor'). This results in incorrect rounding for negative values. To keep the current behavior, use torch.div(a, b, rounding_mode='trunc'), or for actual floor division, use torch.div(a, b, rounding_mode='floor').
2022-05-18T04:03:03.0168251Z     x // y,
2022-05-18T04:03:03.0168350Z 
2022-05-18T04:03:03.0168510Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_floor_div
2022-05-18T04:03:03.0169448Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2277: UserWarning: __floordiv__ is deprecated, and its behavior will change in a future version of pytorch. It currently rounds toward 0 (like the 'trunc' function NOT 'floor'). This results in incorrect rounding for negative values. To keep the current behavior, use torch.div(a, b, rounding_mode='trunc'), or for actual floor division, use torch.div(a, b, rounding_mode='floor').
2022-05-18T04:03:03.0170047Z     x.to(dtype=torch.float64) // y.to(dtype=torch.int64),
2022-05-18T04:03:03.0170185Z 
2022-05-18T04:03:03.0170343Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_floor_div
2022-05-18T04:03:03.0171353Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2278: UserWarning: __floordiv__ is deprecated, and its behavior will change in a future version of pytorch. It currently rounds toward 0 (like the 'trunc' function NOT 'floor'). This results in incorrect rounding for negative values. To keep the current behavior, use torch.div(a, b, rounding_mode='trunc'), or for actual floor division, use torch.div(a, b, rounding_mode='floor').
2022-05-18T04:03:03.0171972Z     x.to(dtype=torch.float64) // y.to(dtype=torch.float64),
2022-05-18T04:03:03.0172127Z 
2022-05-18T04:03:03.0172286Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_floor_div
2022-05-18T04:03:03.0173226Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2279: UserWarning: __floordiv__ is deprecated, and its behavior will change in a future version of pytorch. It currently rounds toward 0 (like the 'trunc' function NOT 'floor'). This results in incorrect rounding for negative values. To keep the current behavior, use torch.div(a, b, rounding_mode='trunc'), or for actual floor division, use torch.div(a, b, rounding_mode='floor').
2022-05-18T04:03:03.0173813Z     x.to(dtype=torch.int64) // y.to(dtype=torch.int64),
2022-05-18T04:03:03.0173960Z 
2022-05-18T04:03:03.0174150Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_floor_div
2022-05-18T04:03:03.0175311Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2280: UserWarning: __floordiv__ is deprecated, and its behavior will change in a future version of pytorch. It currently rounds toward 0 (like the 'trunc' function NOT 'floor'). This results in incorrect rounding for negative values. To keep the current behavior, use torch.div(a, b, rounding_mode='trunc'), or for actual floor division, use torch.div(a, b, rounding_mode='floor').
2022-05-18T04:03:03.0175892Z     x.to(dtype=torch.int64) // y,
2022-05-18T04:03:03.0176018Z 
2022-05-18T04:03:03.0176177Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_floordiv
2022-05-18T04:03:03.0177111Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2301: UserWarning: __floordiv__ is deprecated, and its behavior will change in a future version of pytorch. It currently rounds toward 0 (like the 'trunc' function NOT 'floor'). This results in incorrect rounding for negative values. To keep the current behavior, use torch.div(a, b, rounding_mode='trunc'), or for actual floor division, use torch.div(a, b, rounding_mode='floor').
2022-05-18T04:03:03.0177693Z     return x.new_zeros(x.size(2) // x.size(1))
2022-05-18T04:03:03.0177825Z 
2022-05-18T04:03:03.0177988Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_groupnorm
2022-05-18T04:03:03.0178336Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_groupnorm_noaffine
2022-05-18T04:03:03.0179287Z   /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:2464: UserWarning: __floordiv__ is deprecated, and its behavior will change in a future version of pytorch. It currently rounds toward 0 (like the 'trunc' function NOT 'floor'). This results in incorrect rounding for negative values. To keep the current behavior, use torch.div(a, b, rounding_mode='trunc'), or for actual floor division, use torch.div(a, b, rounding_mode='floor').
2022-05-18T04:03:03.0179941Z     _verify_batch_size([input.size(0) * input.size(1) // num_groups, num_groups] + list(input.size()[2:]))
2022-05-18T04:03:03.0180115Z 
2022-05-18T04:03:03.0180236Z test/onnx/test_pytorch_onnx_onnxruntime.py: 52 warnings
2022-05-18T04:03:03.0181041Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/symbolic_opset9.py:3097: UserWarning: Exporting a model to ONNX with a batch_size other than 1, with a variable length with GRU can cause an error when running the ONNX model with a different batch size. Make sure to save the model with a batch size of 1, or define the initial states (h0/c0) as inputs of the model. 
2022-05-18T04:03:03.0181639Z     + "or define the initial states (h0/c0) as inputs of the model. "
2022-05-18T04:03:03.0181797Z 
2022-05-18T04:03:03.0181919Z test/onnx/test_pytorch_onnx_onnxruntime.py: 32 warnings
2022-05-18T04:03:03.0182654Z   /opt/conda/lib/python3.7/site-packages/torch/nn/modules/rnn.py:918: TracerWarning: Converting a tensor to a Python integer might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:03:03.0183148Z     max_batch_size = int(max_batch_size)
2022-05-18T04:03:03.0183277Z 
2022-05-18T04:03:03.0183457Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_hann_window_default_values
2022-05-18T04:03:03.0184266Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:11822: TracerWarning: Converting a tensor to a Python integer might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:03:03.0184811Z     return torch.add(x, F.relu(torch.hann_window(self.window_length)))
2022-05-18T04:03:03.0184977Z 
2022-05-18T04:03:03.0185178Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_hann_window_not_periodic
2022-05-18T04:03:03.0185990Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:11800: TracerWarning: Converting a tensor to a Python integer might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:03:03.0186511Z     self.window_length, periodic=False, dtype=torch.float
2022-05-18T04:03:03.0186664Z 
2022-05-18T04:03:03.0186837Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_hann_window_periodic
2022-05-18T04:03:03.0187640Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:11778: TracerWarning: Converting a tensor to a Python integer might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:03:03.0188220Z     self.window_length, periodic=True, dtype=torch.float
2022-05-18T04:03:03.0188378Z 
2022-05-18T04:03:03.0188554Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_heatmaps_to_keypoints
2022-05-18T04:03:03.0189558Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/detection/roi_heads.py:269: UserWarning: __floordiv__ is deprecated, and its behavior will change in a future version of pytorch. It currently rounds toward 0 (like the 'trunc' function NOT 'floor'). This results in incorrect rounding for negative values. To keep the current behavior, use torch.div(a, b, rounding_mode='trunc'), or for actual floor division, use torch.div(a, b, rounding_mode='floor').
2022-05-18T04:03:03.0190199Z     y_int = (pos - x_int) // w
2022-05-18T04:03:03.0190323Z 
2022-05-18T04:03:03.0190482Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_if_fold
2022-05-18T04:03:03.0191266Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:7859: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:03:03.0191754Z     if y.numel() > 1:
2022-05-18T04:03:03.0191867Z 
2022-05-18T04:03:03.0192022Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_if_fold
2022-05-18T04:03:03.0192805Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:7928: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:03:03.0193327Z     if y.numel() != 0 and y.dim() == 2:
2022-05-18T04:03:03.0193444Z 
2022-05-18T04:03:03.0193601Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_if_fold
2022-05-18T04:03:03.0194390Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:7940: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:03:03.0194865Z     if x.numel() == y.numel():
2022-05-18T04:03:03.0194983Z 
2022-05-18T04:03:03.0195139Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_if_fold
2022-05-18T04:03:03.0195934Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:7952: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:03:03.0196410Z     if x.numel() != y.numel():
2022-05-18T04:03:03.0196528Z 
2022-05-18T04:03:03.0196704Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_index_add_dim_size_differ
2022-05-18T04:03:03.0197071Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_index_add_dynamic_axes
2022-05-18T04:03:03.0197406Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_index_add_if
2022-05-18T04:03:03.0197751Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_index_add_in_loop
2022-05-18T04:03:03.0198104Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_index_add_normal
2022-05-18T04:03:03.0198714Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/symbolic_opset9.py:4597: UserWarning: Warning: ONNX export does not support duplicated values in 'index' field, this will cause the ONNX model to be incorrect.
2022-05-18T04:03:03.0199205Z     "Warning: ONNX export does not support duplicated values in 'index' field, "
2022-05-18T04:03:03.0199380Z 
2022-05-18T04:03:03.0199539Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_index_copy
2022-05-18T04:03:03.0200148Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:3991: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:03:03.0200674Z     index = torch.tensor([2, 0])
2022-05-18T04:03:03.0200795Z 
2022-05-18T04:03:03.0200944Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_index_fill
2022-05-18T04:03:03.0201551Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:3981: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:03:03.0202066Z     index = torch.tensor([2, 0])
2022-05-18T04:03:03.0202190Z 
2022-05-18T04:03:03.0202348Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_index_mask
2022-05-18T04:03:03.0203059Z   /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:426: UserWarning: indexing with dtype torch.uint8 is now deprecated, please use a dtype torch.bool instead. (Triggered internally at  /var/lib/jenkins/workspace/aten/src/ATen/native/IndexingUtils.h:28.)
2022-05-18T04:03:03.0203528Z     return callable(*args, **kwargs)
2022-05-18T04:03:03.0203657Z 
2022-05-18T04:03:03.0203816Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_index_mask
2022-05-18T04:03:03.0204337Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:1111: UserWarning: indexing with dtype torch.uint8 is now deprecated, please use a dtype torch.bool instead. (Triggered internally at  /var/lib/jenkins/workspace/aten/src/ATen/native/IndexingUtils.h:28.)
2022-05-18T04:03:03.0204809Z     return input[torch.tensor([0, 1, 0], dtype=torch.uint8)]
2022-05-18T04:03:03.0204958Z 
2022-05-18T04:03:03.0205104Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_index_mask
2022-05-18T04:03:03.0205718Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:1111: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:03:03.0206268Z     return input[torch.tensor([0, 1, 0], dtype=torch.uint8)]
2022-05-18T04:03:03.0206416Z 
2022-05-18T04:03:03.0206630Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_index_mask
2022-05-18T04:03:03.0207247Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:1118: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:03:03.0207775Z     return input[torch.tensor([0, 1, 0], dtype=torch.bool)]
2022-05-18T04:03:03.0207924Z 
2022-05-18T04:03:03.0208090Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_index_put_ellipsis
2022-05-18T04:03:03.0208712Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2966: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:03:03.0209232Z     x[..., torch.tensor([2, 1, 3]), 2:4] += update
2022-05-18T04:03:03.0209363Z 
2022-05-18T04:03:03.0209529Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_index_put_ellipsis
2022-05-18T04:03:03.0210128Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2975: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:03:03.0210657Z     x[2, ..., torch.tensor([2, 1, 3]), 2:4] += update
2022-05-18T04:03:03.0210789Z 
2022-05-18T04:03:03.0210951Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_index_put_if
2022-05-18T04:03:03.0211295Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_index_put_if_3
2022-05-18T04:03:03.0211626Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_index_put_if_4
2022-05-18T04:03:03.0211967Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_index_put_if_5
2022-05-18T04:03:03.0212318Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_index_put_inplace_ops
2022-05-18T04:03:03.0212977Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/utils.py:1522: UserWarning: No names were found for specified dynamic axes of provided input.Automatically generated names will be applied to each dynamic axes of input random_data
2022-05-18T04:03:03.0213341Z     key
2022-05-18T04:03:03.0213467Z 
2022-05-18T04:03:03.0213630Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_index_put_if
2022-05-18T04:03:03.0213972Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_index_put_if_3
2022-05-18T04:03:03.0214317Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_index_put_if_4
2022-05-18T04:03:03.0214790Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_index_put_if_5
2022-05-18T04:03:03.0215437Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/utils.py:1522: UserWarning: No names were found for specified dynamic axes of provided input.Automatically generated names will be applied to each dynamic axes of input empty_tensor
2022-05-18T04:03:03.0215823Z     key
2022-05-18T04:03:03.0215918Z 
2022-05-18T04:03:03.0216080Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_index_put_if_2
2022-05-18T04:03:03.0216690Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/utils.py:1522: UserWarning: No names were found for specified dynamic axes of provided input.Automatically generated names will be applied to each dynamic axes of input data
2022-05-18T04:03:03.0217067Z     key
2022-05-18T04:03:03.0217162Z 
2022-05-18T04:03:03.0217387Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_index_put_if_2
2022-05-18T04:03:03.0218025Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/utils.py:1522: UserWarning: No names were found for specified dynamic axes of provided input.Automatically generated names will be applied to each dynamic axes of input state
2022-05-18T04:03:03.0218383Z     key
2022-05-18T04:03:03.0218477Z 
2022-05-18T04:03:03.0218644Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_index_put_singular
2022-05-18T04:03:03.0219267Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2848: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:03:03.0219797Z     mask[indices] = torch.tensor(5.5)
2022-05-18T04:03:03.0219925Z 
2022-05-18T04:03:03.0220085Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_index_put_slice_index
2022-05-18T04:03:03.0220705Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2870: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:03:03.0221237Z     x[1:2, 1:3, torch.tensor([1])] += update
2022-05-18T04:03:03.0221363Z 
2022-05-18T04:03:03.0221534Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_index_put_slice_index
2022-05-18T04:03:03.0222154Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2879: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:03:03.0222687Z     x[torch.tensor([0, 2]), torch.tensor([1, 2])] += update
2022-05-18T04:03:03.0222828Z 
2022-05-18T04:03:03.0222999Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_index_put_slice_index
2022-05-18T04:03:03.0223614Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2888: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:03:03.0224173Z     x[torch.tensor([0, 2]), 1:2] += update
2022-05-18T04:03:03.0224300Z 
2022-05-18T04:03:03.0224470Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_index_put_slice_index
2022-05-18T04:03:03.0225078Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2897: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:03:03.0225596Z     x[torch.tensor([0, 2]), 2] += update
2022-05-18T04:03:03.0225719Z 
2022-05-18T04:03:03.0225890Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_index_put_slice_index
2022-05-18T04:03:03.0226535Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2906: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:03:03.0227053Z     x[1:3, torch.tensor([0, 2]), 2] += update
2022-05-18T04:03:03.0227180Z 
2022-05-18T04:03:03.0227353Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_index_select_constant_scaler_index
2022-05-18T04:03:03.0227979Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:4018: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:03:03.0228598Z     return torch.index_select(x, 1, torch.tensor(index))
2022-05-18T04:03:03.0228752Z 
2022-05-18T04:03:03.0228926Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_initializer_sequence
2022-05-18T04:03:03.0229267Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_onnx_proto_checker
2022-05-18T04:03:03.0229633Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_script_custom_class_error
2022-05-18T04:03:03.0230596Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/utils.py:56: UserWarning: You are exporting the model to ONNX while in training mode with 'train' parameter not specified. The model will default to inference mode export. If you wish to export a training amenable ONNX model, specify training=TrainingMode.TRAINING or training=TrainingMode.PRESERVE (to preserve the original model state) in torch.onnx.export().
2022-05-18T04:03:03.0231232Z     "You are exporting the model to ONNX while in training mode with "
2022-05-18T04:03:03.0231399Z 
2022-05-18T04:03:03.0231566Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_inplace_list
2022-05-18T04:03:03.0231905Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_interpolate_no_shape
2022-05-18T04:03:03.0232253Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_list_pass
2022-05-18T04:03:03.0232582Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_set_
2022-05-18T04:03:03.0232927Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_split_size_with_slice
2022-05-18T04:03:03.0233275Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_symbolic_shape_inference
2022-05-18T04:03:03.0233915Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/utils.py:1522: UserWarning: No names were found for specified dynamic axes of provided input.Automatically generated names will be applied to each dynamic axes of input y
2022-05-18T04:03:03.0234288Z     key
2022-05-18T04:03:03.0234383Z 
2022-05-18T04:03:03.0234589Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_instancenorm1d_norunningstats
2022-05-18T04:03:03.0234973Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_instancenorm2d_norunningstats
2022-05-18T04:03:03.0235355Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_instancenorm3d_norunningstats
2022-05-18T04:03:03.0235740Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_instancenorm_eval_mode_train_layer
2022-05-18T04:03:03.0236447Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/symbolic_helper.py:1139: UserWarning: ONNX export mode is set to inference mode, but operator instance_norm is set to training  mode. The operators will be exported in training , as specified by the functional operator.
2022-05-18T04:03:03.0236905Z     + ", as specified by the functional operator."
2022-05-18T04:03:03.0237051Z 
2022-05-18T04:03:03.0237237Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_instancenorm1d_norunningstats
2022-05-18T04:03:03.0237617Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_instancenorm2d_norunningstats
2022-05-18T04:03:03.0238013Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_instancenorm3d_norunningstats
2022-05-18T04:03:03.0238400Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_instancenorm_eval_mode_train_layer
2022-05-18T04:03:03.0238771Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_instancenorm_training
2022-05-18T04:03:03.0239150Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_instancenorm_training_mode_fix_layer
2022-05-18T04:03:03.0239947Z   /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:2397: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:03:03.0240426Z     if size_prods == 1:
2022-05-18T04:03:03.0240541Z 
2022-05-18T04:03:03.0240730Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_interpolate_adaptive_pooling_error
2022-05-18T04:03:03.0241338Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/symbolic_helper.py:432: UserWarning: ONNX export failed on adaptive_avg_pool1d because output size that are not factor of input size not supported
2022-05-18T04:03:03.0241752Z     "ONNX export failed on " + op + " because " + msg + " not supported"
2022-05-18T04:03:03.0241900Z 
2022-05-18T04:03:03.0242058Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_kldiv_loss
2022-05-18T04:03:03.0242395Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_kldiv_loss
2022-05-18T04:03:03.0242728Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_kldiv_loss
2022-05-18T04:03:03.0243044Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_kldiv_loss
2022-05-18T04:03:03.0243377Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_kldiv_loss
2022-05-18T04:03:03.0243705Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_kldiv_loss
2022-05-18T04:03:03.0244487Z   /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:2853: UserWarning: reduction: 'mean' divides the total loss by both the batch size and the support size.'batchmean' divides only by the batch size, and aligns with the KL div math definition.'mean' will be changed to behave the same as 'batchmean' in the next major release.
2022-05-18T04:03:03.0244950Z     warnings.warn(
2022-05-18T04:03:03.0245062Z 
2022-05-18T04:03:03.0245218Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_kldiv_loss
2022-05-18T04:03:03.0245998Z   /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:2854: UserWarning: reduction: 'mean' divides the total loss by both the batch size and the support size.'batchmean' divides only by the batch size, and aligns with the KL div math definition.'mean' will be changed to behave the same as 'batchmean' in the next major release.
2022-05-18T04:03:03.0246655Z     "reduction: 'mean' divides the total loss by both the batch size and the support size."
2022-05-18T04:03:03.0246835Z 
2022-05-18T04:03:03.0246995Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_kldiv_loss
2022-05-18T04:03:03.0247514Z   /opt/conda/lib/python3.7/site-packages/torch/nn/_reduction.py:42: UserWarning: size_average and reduce args will be deprecated, please use reduction='sum' instead.
2022-05-18T04:03:03.0247866Z     warnings.warn(warning.format(ret))
2022-05-18T04:03:03.0248000Z 
2022-05-18T04:03:03.0248156Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_linspace
2022-05-18T04:03:03.0248941Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2587: TracerWarning: Converting a tensor to a Python integer might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:03:03.0249432Z     return torch.linspace(start, end, steps)
2022-05-18T04:03:03.0249602Z 
2022-05-18T04:03:03.0249779Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_linspace_negative_start
2022-05-18T04:03:03.0250580Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2598: TracerWarning: Converting a tensor to a Python integer might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:03:03.0251079Z     return torch.linspace(start, end, steps)
2022-05-18T04:03:03.0251220Z 
2022-05-18T04:03:03.0251381Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_lower_tuple
2022-05-18T04:03:03.0252154Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:9174: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:03:03.0252671Z     if f.size(0) != input1.size(-1):
2022-05-18T04:03:03.0252798Z 
2022-05-18T04:03:03.0252960Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_lower_tuple_3
2022-05-18T04:03:03.0253748Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:9215: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:03:03.0254208Z     if c.shape[0] == e.shape[0]:
2022-05-18T04:03:03.0254333Z 
2022-05-18T04:03:03.0254452Z test/onnx/test_pytorch_onnx_onnxruntime.py: 60 warnings
2022-05-18T04:03:03.0255459Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/symbolic_opset9.py:3097: UserWarning: Exporting a model to ONNX with a batch_size other than 1, with a variable length with LSTM can cause an error when running the ONNX model with a different batch size. Make sure to save the model with a batch size of 1, or define the initial states (h0/c0) as inputs of the model. 
2022-05-18T04:03:03.0256008Z     + "or define the initial states (h0/c0) as inputs of the model. "
2022-05-18T04:03:03.0256165Z 
2022-05-18T04:03:03.0256336Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_lstm_proj_no_hidden
2022-05-18T04:03:03.0256859Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/symbolic_helper.py:432: UserWarning: ONNX export failed on LSTM because LSTMs with projections not supported
2022-05-18T04:03:03.0257243Z     "ONNX export failed on " + op + " because " + msg + " not supported"
2022-05-18T04:03:03.0257460Z 
2022-05-18T04:03:03.0257579Z test/onnx/test_pytorch_onnx_onnxruntime.py: 32 warnings
2022-05-18T04:03:03.0258331Z   /opt/conda/lib/python3.7/site-packages/torch/nn/modules/rnn.py:728: TracerWarning: Converting a tensor to a Python integer might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:03:03.0258809Z     max_batch_size = int(max_batch_size)
2022-05-18T04:03:03.0258936Z 
2022-05-18T04:03:03.0259058Z test/onnx/test_pytorch_onnx_onnxruntime.py: 32 warnings
2022-05-18T04:03:03.0259799Z   /opt/conda/lib/python3.7/site-packages/torch/nn/modules/rnn.py:677: TracerWarning: Converting a tensor to a Python integer might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:03:03.0260284Z     mini_batch = int(batch_sizes[0])
2022-05-18T04:03:03.0260411Z 
2022-05-18T04:03:03.0260556Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_mask_rcnn
2022-05-18T04:03:03.0260943Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_paste_mask_in_image
2022-05-18T04:03:03.0261836Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/detection/roi_heads.py:372: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:03:03.0262461Z     return torch.tensor(M + 2 * padding).to(torch.float32) / torch.tensor(M).to(torch.float32)
2022-05-18T04:03:03.0262648Z 
2022-05-18T04:03:03.0262806Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_mask_rcnn
2022-05-18T04:03:03.0263141Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_paste_mask_in_image
2022-05-18T04:03:03.0263885Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/detection/roi_heads.py:372: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor).
2022-05-18T04:03:03.0264419Z     return torch.tensor(M + 2 * padding).to(torch.float32) / torch.tensor(M).to(torch.float32)
2022-05-18T04:03:03.0264605Z 
2022-05-18T04:03:03.0264763Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_mask_rcnn
2022-05-18T04:03:03.0265379Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/utils.py:1522: UserWarning: No names were found for specified dynamic axes of provided input.Automatically generated names will be applied to each dynamic axes of input boxes
2022-05-18T04:03:03.0265763Z     key
2022-05-18T04:03:03.0265856Z 
2022-05-18T04:03:03.0266012Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_mask_rcnn
2022-05-18T04:03:03.0266637Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/utils.py:1522: UserWarning: No names were found for specified dynamic axes of provided input.Automatically generated names will be applied to each dynamic axes of input labels
2022-05-18T04:03:03.0266999Z     key
2022-05-18T04:03:03.0267094Z 
2022-05-18T04:03:03.0267252Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_mask_rcnn
2022-05-18T04:03:03.0267871Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/utils.py:1522: UserWarning: No names were found for specified dynamic axes of provided input.Automatically generated names will be applied to each dynamic axes of input scores
2022-05-18T04:03:03.0268328Z     key
2022-05-18T04:03:03.0268423Z 
2022-05-18T04:03:03.0268567Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_mask_rcnn
2022-05-18T04:03:03.0269225Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/utils.py:1522: UserWarning: No names were found for specified dynamic axes of provided input.Automatically generated names will be applied to each dynamic axes of input masks
2022-05-18T04:03:03.0269605Z     key
2022-05-18T04:03:03.0269699Z 
2022-05-18T04:03:03.0269859Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_masked_fill
2022-05-18T04:03:03.0270188Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_masked_fill_inplace
2022-05-18T04:03:03.0271014Z   /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:426: UserWarning: masked_fill_ received a mask with dtype torch.uint8, this behavior is now deprecated,please use a mask with dtype torch.bool instead. (Triggered internally at  /var/lib/jenkins/workspace/aten/src/ATen/native/TensorAdvancedIndexing.cpp:1582.)
2022-05-18T04:03:03.0271533Z     return callable(*args, **kwargs)
2022-05-18T04:03:03.0271663Z 
2022-05-18T04:03:03.0271823Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_masked_fill
2022-05-18T04:03:03.0272454Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:6890: UserWarning: masked_fill_ received a mask with dtype torch.uint8, this behavior is now deprecated,please use a mask with dtype torch.bool instead. (Triggered internally at  /var/lib/jenkins/workspace/aten/src/ATen/native/TensorAdvancedIndexing.cpp:1582.)
2022-05-18T04:03:03.0272945Z     return x.masked_fill(mask, 2)
2022-05-18T04:03:03.0273071Z 
2022-05-18T04:03:03.0273231Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_masked_fill
2022-05-18T04:03:03.0273849Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:6889: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:03:03.0274401Z     mask = torch.tensor([[0, 0, 1], [1, 1, 0]], dtype=torch.uint8)
2022-05-18T04:03:03.0274549Z 
2022-05-18T04:03:03.0274701Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_narrow_dynamic
2022-05-18T04:03:03.0275502Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:3972: TracerWarning: Converting a tensor to a Python integer might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:03:03.0276071Z     return torch.narrow(input, 0, 0, input.shape[0] - 1)
2022-05-18T04:03:03.0276222Z 
2022-05-18T04:03:03.0276376Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_one_hot
2022-05-18T04:03:03.0277164Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:4396: TracerWarning: Converting a tensor to a Python integer might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:03:03.0277681Z     return torch.nn.functional.one_hot(x, num_classes[0])
2022-05-18T04:03:03.0277837Z 
2022-05-18T04:03:03.0278000Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_qat_maxpool2d
2022-05-18T04:03:03.0278649Z   /opt/conda/lib/python3.7/site-packages/torch/ao/quantization/observer.py:178: UserWarning: Please use quant_min and quant_max to specify the range for observers.                     reduce_range will be deprecated in a future release of PyTorch.
2022-05-18T04:03:03.0279100Z     reduce_range will be deprecated in a future release of PyTorch."
2022-05-18T04:03:03.0279264Z 
2022-05-18T04:03:03.0279427Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_qat_maxpool2d
2022-05-18T04:03:03.0280047Z   /opt/conda/lib/python3.7/site-packages/torch/ao/quantization/observer.py:1137: UserWarning: must run observer before calling calculate_qparams.                                    Returning default scale and zero point 
2022-05-18T04:03:03.0280437Z     Returning default scale and zero point "
2022-05-18T04:03:03.0280576Z 
2022-05-18T04:03:03.0280740Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_qat_maxpool2d
2022-05-18T04:03:03.0281539Z   /opt/conda/lib/python3.7/site-packages/torch/nn/quantized/modules/__init__.py:53: TracerWarning: Converting a tensor to a Python float might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:03:03.0282055Z     return torch.quantize_per_tensor(X, float(self.scale),
2022-05-18T04:03:03.0282208Z 
2022-05-18T04:03:03.0282372Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_qat_maxpool2d
2022-05-18T04:03:03.0283225Z   /opt/conda/lib/python3.7/site-packages/torch/nn/quantized/modules/__init__.py:54: TracerWarning: Converting a tensor to a Python integer might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:03:03.0283734Z     int(self.zero_point), self.dtype)
2022-05-18T04:03:03.0283864Z 
2022-05-18T04:03:03.0284017Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_repeat_interleave
2022-05-18T04:03:03.0284638Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:5447: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:03:03.0285154Z     repeats = torch.tensor([4])
2022-05-18T04:03:03.0285279Z 
2022-05-18T04:03:03.0285448Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_repeat_interleave
2022-05-18T04:03:03.0286066Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:5455: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:03:03.0286586Z     repeats = torch.tensor([1, 2])
2022-05-18T04:03:03.0286699Z 
2022-05-18T04:03:03.0286865Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_repeat_interleave
2022-05-18T04:03:03.0287477Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:5463: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:03:03.0288000Z     repeats = torch.tensor([1, 2])
2022-05-18T04:03:03.0288125Z 
2022-05-18T04:03:03.0288288Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_resize_images
2022-05-18T04:03:03.0288615Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_roi_heads
2022-05-18T04:03:03.0288942Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_rpn
2022-05-18T04:03:03.0289569Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/utils.py:1522: UserWarning: No names were found for specified dynamic axes of provided input.Automatically generated names will be applied to each dynamic axes of input input1
2022-05-18T04:03:03.0289985Z     key
2022-05-18T04:03:03.0290066Z 
2022-05-18T04:03:03.0290232Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_roi_align_aligned
2022-05-18T04:03:03.0290881Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/ops/_register_onnx_ops.py:28: UserWarning: ONNX export of ROIAlign with aligned=True does not match PyTorch when using malformed boxes, ONNX forces ROIs to be 1x1 or larger.
2022-05-18T04:03:03.0291383Z     warnings.warn("ONNX export of ROIAlign with aligned=True does not match PyTorch when using malformed boxes,"
2022-05-18T04:03:03.0291591Z 
2022-05-18T04:03:03.0291749Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_roi_heads
2022-05-18T04:03:03.0292065Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_rpn
2022-05-18T04:03:03.0292685Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/utils.py:1522: UserWarning: No names were found for specified dynamic axes of provided input.Automatically generated names will be applied to each dynamic axes of input input2
2022-05-18T04:03:03.0293061Z     key
2022-05-18T04:03:03.0293154Z 
2022-05-18T04:03:03.0293313Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_roi_heads
2022-05-18T04:03:03.0293657Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_rpn
2022-05-18T04:03:03.0294278Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/utils.py:1522: UserWarning: No names were found for specified dynamic axes of provided input.Automatically generated names will be applied to each dynamic axes of input input3
2022-05-18T04:03:03.0294770Z     key
2022-05-18T04:03:03.0294866Z 
2022-05-18T04:03:03.0295022Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_roi_heads
2022-05-18T04:03:03.0295337Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_rpn
2022-05-18T04:03:03.0295958Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/utils.py:1522: UserWarning: No names were found for specified dynamic axes of provided input.Automatically generated names will be applied to each dynamic axes of input input4
2022-05-18T04:03:03.0296339Z     key
2022-05-18T04:03:03.0296434Z 
2022-05-18T04:03:03.0296577Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_roi_heads
2022-05-18T04:03:03.0296902Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_rpn
2022-05-18T04:03:03.0297519Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/utils.py:1522: UserWarning: No names were found for specified dynamic axes of provided input.Automatically generated names will be applied to each dynamic axes of input input5
2022-05-18T04:03:03.0297896Z     key
2022-05-18T04:03:03.0297989Z 
2022-05-18T04:03:03.0298131Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_roi_heads
2022-05-18T04:03:03.0298456Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_rpn
2022-05-18T04:03:03.0299067Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/utils.py:1522: UserWarning: No names were found for specified dynamic axes of provided input.Automatically generated names will be applied to each dynamic axes of input input6
2022-05-18T04:03:03.0299443Z     key
2022-05-18T04:03:03.0299537Z 
2022-05-18T04:03:03.0299680Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_roi_heads
2022-05-18T04:03:03.0300416Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:10666: TracerWarning: Iterating over a tensor might cause the trace to be incorrect. Passing a tensor of different shape won't change the number of iterations executed (and might lead to errors or silently give incorrect results).
2022-05-18T04:03:03.0300948Z     (img.shape[-1], img.shape[-2]) for img in images
2022-05-18T04:03:03.0301090Z 
2022-05-18T04:03:03.0301248Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_roi_heads
2022-05-18T04:03:03.0301976Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:10670: TracerWarning: Iterating over a tensor might cause the trace to be incorrect. Passing a tensor of different shape won't change the number of iterations executed (and might lead to errors or silently give incorrect results).
2022-05-18T04:03:03.0302565Z     images, [(i.shape[-1], i.shape[-2]) for i in images]
2022-05-18T04:03:03.0302711Z 
2022-05-18T04:03:03.0302864Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_rpn
2022-05-18T04:03:03.0303601Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:10583: TracerWarning: Iterating over a tensor might cause the trace to be incorrect. Passing a tensor of different shape won't change the number of iterations executed (and might lead to errors or silently give incorrect results).
2022-05-18T04:03:03.0304139Z     images, [(i.shape[-1], i.shape[-2]) for i in images]
2022-05-18T04:03:03.0304281Z 
2022-05-18T04:03:03.0304430Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_scalar_type
2022-05-18T04:03:03.0305091Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:7023: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:03:03.0305622Z     a = torch.tensor([12.0])
2022-05-18T04:03:03.0305742Z 
2022-05-18T04:03:03.0305921Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_shufflenet_v2_dynamic_axes
2022-05-18T04:03:03.0306430Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/utils.py:1515: UserWarning: Provided key output for dynamic axes is not a valid input/output name
2022-05-18T04:03:03.0306731Z     key
2022-05-18T04:03:03.0306826Z 
2022-05-18T04:03:03.0307007Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_shufflenet_v2_dynamic_axes
2022-05-18T04:03:03.0308013Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/shufflenetv2.py:23: UserWarning: __floordiv__ is deprecated, and its behavior will change in a future version of pytorch. It currently rounds toward 0 (like the 'trunc' function NOT 'floor'). This results in incorrect rounding for negative values. To keep the current behavior, use torch.div(a, b, rounding_mode='trunc'), or for actual floor division, use torch.div(a, b, rounding_mode='floor').
2022-05-18T04:03:03.0308711Z     channels_per_group = num_channels // groups
2022-05-18T04:03:03.0308854Z 
2022-05-18T04:03:03.0309012Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_slice_dynamic_to_end
2022-05-18T04:03:03.0309527Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/utils.py:1515: UserWarning: Provided key input_1 for dynamic axes is not a valid input/output name
2022-05-18T04:03:03.0309830Z     key
2022-05-18T04:03:03.0309925Z 
2022-05-18T04:03:03.0310094Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_slice_dynamic_to_end
2022-05-18T04:03:03.0310596Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/utils.py:1515: UserWarning: Provided key output_1 for dynamic axes is not a valid input/output name
2022-05-18T04:03:03.0310898Z     key
2022-05-18T04:03:03.0310993Z 
2022-05-18T04:03:03.0311167Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_split_size_with_slice
2022-05-18T04:03:03.0311804Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/utils.py:1522: UserWarning: No names were found for specified dynamic axes of provided input.Automatically generated names will be applied to each dynamic axes of input t
2022-05-18T04:03:03.0312156Z     key
2022-05-18T04:03:03.0312250Z 
2022-05-18T04:03:03.0312419Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_split_tensor_scalar
2022-05-18T04:03:03.0313192Z   /opt/conda/lib/python3.7/site-packages/torch/_tensor.py:609: TracerWarning: Converting a tensor to a Python integer might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:03:03.0313712Z     split_size = int(split_size)
2022-05-18T04:03:03.0313822Z 
2022-05-18T04:03:03.0314012Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_symbolic_shape_inference_arange
2022-05-18T04:03:03.0314989Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:11538: UserWarning: __rfloordiv__ is deprecated, and its behavior will change in a future version of pytorch. It currently rounds toward 0 (like the 'trunc' function NOT 'floor'). This results in incorrect rounding for negative values. To keep the current behavior, use torch.div(a, b, rounding_mode='trunc'), or for actual floor division, use torch.div(a, b, rounding_mode='floor').
2022-05-18T04:03:03.0315577Z     subframe_step = frame_step // subframe_length
2022-05-18T04:03:03.0315717Z 
2022-05-18T04:03:03.0315905Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_symbolic_shape_inference_arange
2022-05-18T04:03:03.0316902Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:11539: UserWarning: __floordiv__ is deprecated, and its behavior will change in a future version of pytorch. It currently rounds toward 0 (like the 'trunc' function NOT 'floor'). This results in incorrect rounding for negative values. To keep the current behavior, use torch.div(a, b, rounding_mode='trunc'), or for actual floor division, use torch.div(a, b, rounding_mode='floor').
2022-05-18T04:03:03.0317514Z     subframes_per_frame = frame_length // subframe_length
2022-05-18T04:03:03.0317648Z 
2022-05-18T04:03:03.0317834Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_symbolic_shape_inference_arange
2022-05-18T04:03:03.0318803Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:11541: UserWarning: __floordiv__ is deprecated, and its behavior will change in a future version of pytorch. It currently rounds toward 0 (like the 'trunc' function NOT 'floor'). This results in incorrect rounding for negative values. To keep the current behavior, use torch.div(a, b, rounding_mode='trunc'), or for actual floor division, use torch.div(a, b, rounding_mode='floor').
2022-05-18T04:03:03.0319405Z     output_subframes = output_size // subframe_length
2022-05-18T04:03:03.0319551Z 
2022-05-18T04:03:03.0319736Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_symbolic_shape_inference_box_if
2022-05-18T04:03:03.0320552Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:11593: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:03:03.0321016Z     if boxes_1.numel() > 3:
2022-05-18T04:03:03.0321135Z 
2022-05-18T04:03:03.0321319Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_symbolic_shape_inference_slice
2022-05-18T04:03:03.0321984Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/utils.py:1522: UserWarning: No names were found for specified dynamic axes of provided input.Automatically generated names will be applied to each dynamic axes of input position_bias
2022-05-18T04:03:03.0322365Z     key
2022-05-18T04:03:03.0322445Z 
2022-05-18T04:03:03.0322632Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_tensor_index_advanced_indexing
2022-05-18T04:03:03.0323267Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2784: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:03:03.0323817Z     torch.tensor([[0, 2], [1, 1]]),
2022-05-18T04:03:03.0323940Z 
2022-05-18T04:03:03.0324119Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_tensor_index_advanced_indexing
2022-05-18T04:03:03.0324745Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2786: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:03:03.0325243Z     torch.tensor([2, 1]),
2022-05-18T04:03:03.0325360Z 
2022-05-18T04:03:03.0325542Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_tensor_index_advanced_indexing
2022-05-18T04:03:03.0326167Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2787: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:03:03.0326673Z     torch.tensor([0, 3]),
2022-05-18T04:03:03.0326830Z 
2022-05-18T04:03:03.0327010Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_tensor_index_advanced_indexing
2022-05-18T04:03:03.0327616Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2796: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:03:03.0328166Z     :, torch.tensor([0, 2]), None, 2:4, torch.tensor([[1, 3], [4, 0]])
2022-05-18T04:03:03.0328318Z 
2022-05-18T04:03:03.0328498Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_tensor_index_advanced_indexing
2022-05-18T04:03:03.0329125Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2805: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:03:03.0329637Z     torch.tensor([0, 2]),
2022-05-18T04:03:03.0329741Z 
2022-05-18T04:03:03.0329920Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_tensor_index_advanced_indexing
2022-05-18T04:03:03.0330536Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2806: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:03:03.0331040Z     torch.tensor([1]),
2022-05-18T04:03:03.0331153Z 
2022-05-18T04:03:03.0331335Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_tensor_index_advanced_indexing
2022-05-18T04:03:03.0331940Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2808: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:03:03.0332442Z     torch.tensor([[1], [4]]),
2022-05-18T04:03:03.0332559Z 
2022-05-18T04:03:03.0332755Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_tensor_index_advanced_indexing_consecutive
2022-05-18T04:03:03.0333388Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2817: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:03:03.0333959Z     :, torch.tensor([0, 2]), torch.tensor([[1, 3], [4, 0]]), None
2022-05-18T04:03:03.0334104Z 
2022-05-18T04:03:03.0334283Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_tensor_index_advanced_indexing_ellipsis
2022-05-18T04:03:03.0335022Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2774: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:03:03.0335576Z     return input[..., torch.tensor([2, 1]), torch.tensor([0, 3])]
2022-05-18T04:03:03.0335727Z 
2022-05-18T04:03:03.0335892Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_topk_int32_k
2022-05-18T04:03:03.0336788Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:4060: TracerWarning: Converting a tensor to a Python integer might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:03:03.0337264Z     return torch.topk(x, k)
2022-05-18T04:03:03.0337387Z 
2022-05-18T04:03:03.0337563Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_topk_smallest_unsorted
2022-05-18T04:03:03.0338373Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:4072: TracerWarning: Converting a tensor to a Python integer might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:03:03.0338906Z     topk_unsorted = torch.topk(x, k, largest=False, sorted=False)
2022-05-18T04:03:03.0339067Z 
2022-05-18T04:03:03.0339243Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_topk_smallest_unsorted
2022-05-18T04:03:03.0340037Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:4073: TracerWarning: Converting a tensor to a Python integer might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:03:03.0340555Z     topk_sorted = torch.topk(x, k, largest=False, sorted=True)
2022-05-18T04:03:03.0340712Z 
2022-05-18T04:03:03.0340876Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_trace_script
2022-05-18T04:03:03.0341496Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:8284: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:03:03.0342129Z     return center_slice_helper(input, torch.tensor(input.shape[1] - 1))
2022-05-18T04:03:03.0342299Z 
2022-05-18T04:03:03.0342448Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_trace_script
2022-05-18T04:03:03.0342979Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:8284: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor).
2022-05-18T04:03:03.0343527Z     return center_slice_helper(input, torch.tensor(input.shape[1] - 1))
2022-05-18T04:03:03.0343745Z 
2022-05-18T04:03:03.0343917Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_transformer_encoder
2022-05-18T04:03:03.0344701Z   /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:4995: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:03:03.0345197Z     assert embed_dim == embed_dim_to_check, \
2022-05-18T04:03:03.0345331Z 
2022-05-18T04:03:03.0345503Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_transformer_encoder
2022-05-18T04:03:03.0346294Z   /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:5002: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:03:03.0346859Z     assert head_dim * num_heads == embed_dim, f"embed_dim {embed_dim} not divisible by num_heads {num_heads}"
2022-05-18T04:03:03.0347113Z 
2022-05-18T04:03:03.0347273Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_transformer_encoder
2022-05-18T04:03:03.0348062Z   /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:5008: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:03:03.0348699Z     assert key.shape == value.shape, f"key shape {key.shape} does not match value shape {value.shape}"
2022-05-18T04:03:03.0348898Z 
2022-05-18T04:03:03.0349071Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_transformer_encoder
2022-05-18T04:03:03.0349877Z   /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:4798: TracerWarning: Converting a tensor to a Python float might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:03:03.0350332Z     q = q / math.sqrt(E)
2022-05-18T04:03:03.0350449Z 
2022-05-18T04:03:03.0350610Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_type_as
2022-05-18T04:03:03.0351223Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:7739: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:03:03.0351740Z     y = torch.tensor([1.0])
2022-05-18T04:03:03.0351861Z 
2022-05-18T04:03:03.0352026Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_uninitialized
2022-05-18T04:03:03.0352815Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:7966: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:03:03.0353295Z     if y.shape[1] < 5:
2022-05-18T04:03:03.0353409Z 
2022-05-18T04:03:03.0353574Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_uninitialized
2022-05-18T04:03:03.0354364Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:7967: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:03:03.0354878Z     if y.size(0) == 1:
2022-05-18T04:03:03.0354975Z 
2022-05-18T04:03:03.0355150Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_uninitialized_dynamic
2022-05-18T04:03:03.0355950Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:7980: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:03:03.0356421Z     if y.shape[1] < 5:
2022-05-18T04:03:03.0356535Z 
2022-05-18T04:03:03.0356707Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_uninitialized_dynamic
2022-05-18T04:03:03.0357490Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:7981: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:03:03.0357996Z     if y.size(0) == 1:
2022-05-18T04:03:03.0358107Z 
2022-05-18T04:03:03.0358267Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_view_dynamic
2022-05-18T04:03:03.0358897Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/utils.py:1522: UserWarning: No names were found for specified dynamic axes of provided input.Automatically generated names will be applied to each dynamic axes of input shape
2022-05-18T04:03:03.0359258Z     key
2022-05-18T04:03:03.0359355Z 
2022-05-18T04:03:03.0359528Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset11::test_where_with_byte_tensor
2022-05-18T04:03:03.0360355Z   /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:426: UserWarning: where received a uint8 condition tensor. This behavior is deprecated and will be removed in a future version of PyTorch. Use a boolean condition instead. (Triggered internally at  /var/lib/jenkins/workspace/aten/src/ATen/native/TensorCompare.cpp:402.)
2022-05-18T04:03:03.0360872Z     return callable(*args, **kwargs)
2022-05-18T04:03:03.0360999Z 
2022-05-18T04:03:03.0361234Z -- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html
2022-05-18T04:03:03.0361409Z 
2022-05-18T04:03:03.0361612Z ---------- coverage: platform linux, python 3.7.13-final-0 -----------
2022-05-18T04:03:03.0361891Z Coverage XML written to file test/coverage.xml
2022-05-18T04:03:03.0362033Z 
2022-05-18T04:03:03.0362149Z =========================== short test summary info ============================
2022-05-18T04:03:03.0362426Z SKIPPED [7] test/onnx/test_pytorch_common.py:98: Unsupported opset_version: 11 < 15
2022-05-18T04:03:03.0362754Z SKIPPED [3] test/onnx/test_pytorch_common.py:53: Unsupported opset_version: 11 < 15
2022-05-18T04:03:03.0363078Z SKIPPED [25] test/onnx/test_pytorch_common.py:53: Unsupported opset_version: 11 < 12
2022-05-18T04:03:03.0363434Z SKIPPED [29] test/onnx/test_pytorch_common.py:53: Unsupported opset_version: 11 < 13
2022-05-18T04:03:03.0363836Z SKIPPED [1] test/onnx/test_pytorch_common.py:98: Due to ONNX Loop shape inference issue. https://msdata.visualstudio.com/Vienna/_workitems/edit/1352001
2022-05-18T04:03:03.0364240Z SKIPPED [1] test/onnx/test_pytorch_common.py:53: Unsupported opset_version: 11 < 16
2022-05-18T04:03:03.0364560Z SKIPPED [8] test/onnx/test_pytorch_common.py:53: Unsupported opset_version: 11 < 14
2022-05-18T04:03:03.0364882Z SKIPPED [1] test/onnx/test_pytorch_common.py:68: Unsupported opset_version: 11 > 8
2022-05-18T04:03:03.0365227Z SKIPPED [1] test/onnx/test_pytorch_common.py:53: Failing, see https://github.com/pytorch/pytorch/issues/66528
2022-05-18T04:03:03.0365661Z SKIPPED [1] test/onnx/test_pytorch_common.py:53: Unstable loading pretrained quantized mobilenet v3: https://github.com/pytorch/vision/issues/5303
2022-05-18T04:03:03.0366175Z SKIPPED [1] test/onnx/test_pytorch_common.py:53: Bug in ORT, skip test until rel-1.11.
2022-05-18T04:03:03.0366484Z SKIPPED [1] test/onnx/test_pytorch_common.py:68: Unsupported opset_version: 11 > 10
2022-05-18T04:03:03.0366917Z ========== 726 passed, 79 skipped, 1743 warnings in 585.94s (0:09:45) ==========
2022-05-18T04:03:03.4994952Z + for i in '$(seq 10 16)'
2022-05-18T04:03:03.7393930Z + pytest -v --cov --cov-report xml:test/coverage.xml --cov-append /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12
2022-05-18T04:03:03.7394781Z ============================= test session starts ==============================
2022-05-18T04:03:03.7395427Z platform linux -- Python 3.7.13, pytest-7.1.2, pluggy-1.0.0 -- /opt/conda/bin/python
2022-05-18T04:03:03.7464396Z cachedir: .pytest_cache
2022-05-18T04:03:03.7464834Z rootdir: /var/lib/jenkins/workspace, configfile: pytest.ini
2022-05-18T04:03:03.7465463Z plugins: hypothesis-3.44.6, cov-3.0.0
2022-05-18T04:03:04.6036732Z collecting ... 
2022-05-18T04:03:04.7251058Z collecting 0 items                                                             
2022-05-18T04:03:04.7251888Z collected 805 items                                                            
2022-05-18T04:03:04.7260982Z 
2022-05-18T04:03:04.8533156Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test__dim_arange PASSED [  0%]
2022-05-18T04:03:04.8634819Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_add_inplace Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'x.1'. This changes graph semantics.
2022-05-18T04:03:04.8797489Z Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: '0'. This changes graph semantics.
2022-05-18T04:03:04.8969754Z PASSED [  0%]
2022-05-18T04:03:04.9401270Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_addcmul PASSED [  0%]
2022-05-18T04:03:05.0258673Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_all PASSED [  0%]
2022-05-18T04:03:05.0283579Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_all_optional_default_none SKIPPED [  0%]
2022-05-18T04:03:05.0305267Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_all_optional_default_tensor SKIPPED [  0%]
2022-05-18T04:03:05.0326615Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_all_optional_default_tensor_script SKIPPED [  0%]
2022-05-18T04:03:05.0808488Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_amax_amin PASSED [  0%]
2022-05-18T04:03:05.1431050Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_aminmax PASSED [  1%]
2022-05-18T04:03:05.1953779Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_and_or_xor PASSED [  1%]
2022-05-18T04:03:05.3129615Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_any PASSED [  1%]
2022-05-18T04:03:05.4553665Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_arange_dynamic PASSED [  1%]
2022-05-18T04:03:05.5624597Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_arange_end PASSED [  1%]
2022-05-18T04:03:05.6916239Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_arange_end_notype PASSED [  1%]
2022-05-18T04:03:05.7528316Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_arange_no_type PASSED [  1%]
2022-05-18T04:03:05.8099759Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_arange_out PASSED [  1%]
2022-05-18T04:03:05.9359221Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_arange_start_end PASSED [  2%]
2022-05-18T04:03:06.0613744Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_arange_start_end_notype PASSED [  2%]
2022-05-18T04:03:06.2113881Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_arange_start_end_step PASSED [  2%]
2022-05-18T04:03:06.3616579Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_arange_start_end_step_notype PASSED [  2%]
2022-05-18T04:03:06.5075314Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_arange_start_out PASSED [  2%]
2022-05-18T04:03:06.8391499Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_arange_with_floats PASSED [  2%]
2022-05-18T04:03:07.0367009Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_arange_with_floats_out PASSED [  2%]
2022-05-18T04:03:07.1813862Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_arange_with_floats_override PASSED [  2%]
2022-05-18T04:03:07.2525078Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_argmin_argmax PASSED [  3%]
2022-05-18T04:03:07.3902403Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_argmin_argmax_select_last_index PASSED [  3%]
2022-05-18T04:03:07.4906855Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_arithmetic PASSED [  3%]
2022-05-18T04:03:08.0275996Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_arithmeticOps_with_low_precision PASSED [  3%]
2022-05-18T04:03:08.0961764Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_arithmetic_infer_dtype PASSED [  3%]
2022-05-18T04:03:08.2057191Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_arithmetic_prim_bool PASSED [  3%]
2022-05-18T04:03:08.3779158Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_arithmetic_prim_float PASSED [  3%]
2022-05-18T04:03:08.5340552Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_arithmetic_prim_long PASSED [  3%]
2022-05-18T04:03:08.6063929Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_as_strided PASSED [  4%]
2022-05-18T04:03:08.6208594Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_auto_grad PASSED [  4%]
2022-05-18T04:03:08.6833559Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_avgpool PASSED [  4%]
2022-05-18T04:03:08.7415077Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_avgpool_1d_ceil PASSED [  4%]
2022-05-18T04:03:08.8139526Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_avgpool_2d_ceil PASSED [  4%]
2022-05-18T04:03:09.8265506Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_avgpool_3d_ceil PASSED [  4%]
2022-05-18T04:03:09.8845098Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_avgpool_default_stride PASSED [  4%]
2022-05-18T04:03:09.9233893Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_baddbmm PASSED [  4%]
2022-05-18T04:03:09.9517858Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_baddbmm_dynamic PASSED [  5%]
2022-05-18T04:03:10.1470678Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_batched_nms PASSED [  5%]
2022-05-18T04:03:10.2587701Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_batchnorm1d PASSED [  5%]
2022-05-18T04:03:10.3729833Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_batchnorm1d_noaffine PASSED [  5%]
2022-05-18T04:03:10.5524291Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_batchnorm1d_norunningstats PASSED [  5%]
2022-05-18T04:03:10.6281355Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_batchnorm2d PASSED [  5%]
2022-05-18T04:03:10.7067267Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_batchnorm2d_noaffine PASSED [  5%]
2022-05-18T04:03:10.8233007Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_batchnorm2d_norunningstats PASSED [  5%]
2022-05-18T04:03:14.6147444Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_batchnorm3d PASSED [  6%]
2022-05-18T04:03:18.4106916Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_batchnorm3d_noaffine PASSED [  6%]
2022-05-18T04:03:18.9925048Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_batchnorm_eval_mode_train_layer PASSED [  6%]
2022-05-18T04:03:19.1962921Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_batchnorm_training Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'bn1.num_batches_tracked'. This changes graph semantics.
2022-05-18T04:03:19.1964150Z Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'bn2.num_batches_tracked'. This changes graph semantics.
2022-05-18T04:03:19.1965132Z Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'bn3.num_batches_tracked'. This changes graph semantics.
2022-05-18T04:03:19.4923698Z Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'bn1.num_batches_tracked'. This changes graph semantics.
2022-05-18T04:03:19.4924730Z Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'bn2.num_batches_tracked'. This changes graph semantics.
2022-05-18T04:03:19.4925702Z Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'bn3.num_batches_tracked'. This changes graph semantics.
2022-05-18T04:03:19.6002592Z PASSED [  6%]
2022-05-18T04:03:19.8709808Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_batchnorm_training_mode_fix_layer Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'bn1.num_batches_tracked'. This changes graph semantics.
2022-05-18T04:03:19.8711083Z Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'bn2.num_batches_tracked'. This changes graph semantics.
2022-05-18T04:03:19.8712050Z Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'bn3.num_batches_tracked'. This changes graph semantics.
2022-05-18T04:03:20.2473433Z Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'bn1.num_batches_tracked'. This changes graph semantics.
2022-05-18T04:03:20.2474467Z Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'bn2.num_batches_tracked'. This changes graph semantics.
2022-05-18T04:03:20.2475435Z Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'bn3.num_batches_tracked'. This changes graph semantics.
2022-05-18T04:03:20.3713707Z PASSED [  6%]
2022-05-18T04:03:20.4564199Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_bernoulli PASSED [  6%]
2022-05-18T04:03:20.9562911Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_binary_cross_entropy_with_logits PASSED [  6%]
2022-05-18T04:03:21.0264546Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_bitshift PASSED [  6%]
2022-05-18T04:03:21.0895221Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_bitshift_uint8 PASSED [  7%]
2022-05-18T04:03:21.1835070Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_broad_cast_tensors PASSED [  7%]
2022-05-18T04:03:21.2424105Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_bucketize PASSED [  7%]
2022-05-18T04:03:21.2660235Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_cast_to PASSED [  7%]
2022-05-18T04:03:21.3203412Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_cast_to_bool PASSED [  7%]
2022-05-18T04:03:21.3226155Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_cast_type_as_with_bfloat16 SKIPPED [  7%]
2022-05-18T04:03:21.3652520Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_cdist PASSED [  7%]
2022-05-18T04:03:21.3986653Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_celu PASSED [  7%]
2022-05-18T04:03:21.4278136Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_celu_alpha PASSED [  8%]
2022-05-18T04:03:21.4576393Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_celu_cast PASSED [  8%]
2022-05-18T04:03:21.4857942Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_celu_default PASSED [  8%]
2022-05-18T04:03:21.6826995Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_chunk PASSED [  8%]
2022-05-18T04:03:21.7300121Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_clamp WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:21.7303475Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:21.7311980Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:21.7416954Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:21.7420652Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:21.7423666Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:21.7597499Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:21.7601031Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:21.7609450Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:21.7716475Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:21.7720228Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:21.7723241Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:21.7749611Z PASSED [  8%]
2022-05-18T04:03:21.7932567Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_clamp_dyn WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:21.7936175Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:21.7945155Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:21.8132994Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:21.8136870Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:21.8145925Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:21.9115305Z PASSED [  8%]
2022-05-18T04:03:22.0484265Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_clip_boxes_to_image PASSED [  8%]
2022-05-18T04:03:22.0888727Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_clip_int PASSED [  8%]
2022-05-18T04:03:22.1364282Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_concat PASSED [  9%]
2022-05-18T04:03:22.1627749Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_concat_dynamic PASSED [  9%]
2022-05-18T04:03:22.1828997Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_constant_pad Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:03:22.1845969Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:03:22.1862028Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:03:22.2031983Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:03:22.2049360Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:03:22.2060106Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:03:22.2344373Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:03:22.2362748Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:03:22.2380481Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:03:22.2549260Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:03:22.2565782Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:03:22.2575747Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:03:22.2617853Z PASSED [  9%]
2022-05-18T04:03:24.8683747Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_conv PASSED [  9%]
2022-05-18T04:03:25.1099367Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_conv_bn Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'bn.num_batches_tracked'. This changes graph semantics.
2022-05-18T04:03:25.1627929Z PASSED [  9%]
2022-05-18T04:03:25.3414117Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_conv_shape_inference PASSED [  9%]
2022-05-18T04:03:25.3841182Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_conv_tbc PASSED [  9%]
2022-05-18T04:03:46.2367630Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_conv_transpose PASSED [  9%]
2022-05-18T04:03:46.3969575Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_convolution_allow_tf32 PASSED [ 10%]
2022-05-18T04:03:47.6267547Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_copy_ PASSED [ 10%]
2022-05-18T04:03:48.1294082Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_copy_ellipsis PASSED [ 10%]
2022-05-18T04:03:48.4303900Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_copy_ellipsis_script PASSED [ 10%]
2022-05-18T04:03:48.5197215Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_copy_tracing PASSED [ 10%]
2022-05-18T04:03:48.5570491Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_cosine_similarity PASSED [ 10%]
2022-05-18T04:03:48.6334847Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_cross PASSED [ 10%]
2022-05-18T04:03:50.3638271Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_crossentropyloss PASSED [ 10%]
2022-05-18T04:03:50.4367102Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_cste_script PASSED [ 11%]
2022-05-18T04:03:50.4685689Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_cumsum PASSED [ 11%]
2022-05-18T04:03:50.5312974Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_cumsum_with_cast PASSED [ 11%]
2022-05-18T04:03:50.5677837Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_data PASSED [ 11%]
2022-05-18T04:03:50.6030247Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_dequantize PASSED [ 11%]
2022-05-18T04:03:50.7931454Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_derive_index PASSED [ 11%]
2022-05-18T04:03:50.8061364Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_derive_index_scripting Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'j.11'. This changes graph semantics.
2022-05-18T04:03:50.9226546Z Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'j.11'. This changes graph semantics.
2022-05-18T04:03:51.0396503Z Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'j.11'. This changes graph semantics.
2022-05-18T04:03:51.1356987Z Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'j.11'. This changes graph semantics.
2022-05-18T04:03:51.2212775Z PASSED [ 11%]
2022-05-18T04:03:51.2440031Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_det PASSED [ 11%]
2022-05-18T04:03:51.2739403Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_device_eq PASSED [ 12%]
2022-05-18T04:03:51.2763373Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_diagonal SKIPPED [ 12%]
2022-05-18T04:03:51.2877585Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_dict PASSED [ 12%]
2022-05-18T04:03:51.2952964Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_dict_output PASSED [ 12%]
2022-05-18T04:03:51.3093123Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_dict_str PASSED [ 12%]
2022-05-18T04:03:51.3502364Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_dim PASSED [ 12%]
2022-05-18T04:03:51.4534963Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_dim_1 PASSED [ 12%]
2022-05-18T04:03:51.6343575Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_dist_normal PASSED [ 12%]
2022-05-18T04:03:51.6881475Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_dist_normal_correctness PASSED [ 13%]
2022-05-18T04:03:51.8593804Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_dist_uniform PASSED [ 13%]
2022-05-18T04:03:51.9121112Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_dist_uniform_correctness PASSED [ 13%]
2022-05-18T04:03:51.9669191Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_div PASSED [ 13%]
2022-05-18T04:03:52.0534375Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_div_promotion_script PASSED [ 13%]
2022-05-18T04:03:52.0926440Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_div_promotion_trace PASSED [ 13%]
2022-05-18T04:03:52.5659446Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_div_rounding_mode PASSED [ 13%]
2022-05-18T04:03:52.6064819Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_dot PASSED [ 13%]
2022-05-18T04:03:52.6466903Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_dropout PASSED [ 14%]
2022-05-18T04:03:52.6955735Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_dropout_training PASSED [ 14%]
2022-05-18T04:03:52.7680470Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_dropout_training_zero PASSED [ 14%]
2022-05-18T04:03:52.7959616Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_dtype PASSED [ 14%]
2022-05-18T04:03:52.8241428Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_dtype_eq PASSED [ 14%]
2022-05-18T04:03:52.8805361Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_dynamic_arange_out PASSED [ 14%]
2022-05-18T04:03:53.0257826Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_dynamic_arange_start_out PASSED [ 14%]
2022-05-18T04:03:53.3315568Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_dynamic_chunk PASSED [ 14%]
2022-05-18T04:03:53.7883057Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_dynamic_expand_as PASSED [ 15%]
2022-05-18T04:03:53.7907937Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_dynamic_repeat_interleave SKIPPED [ 15%]
2022-05-18T04:03:53.9702004Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_einsum PASSED [ 15%]
2022-05-18T04:03:54.0091515Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_elman_relu_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:54.0093165Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:54.0482966Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:54.1020072Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:54.1020621Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:54.1021399Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:54.1411004Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:54.1411540Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:54.1594061Z PASSED [ 15%]
2022-05-18T04:03:54.1981248Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_elman_relu_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:54.1982141Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:54.2376632Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:54.2377182Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:54.2916569Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:54.2917134Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:54.3315818Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:54.3316651Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:54.3504341Z PASSED [ 15%]
2022-05-18T04:03:54.3899871Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_elman_relu_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:54.3900942Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:54.4292713Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:54.4293256Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:54.4821593Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:54.4822153Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:54.5212796Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:54.5213536Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:54.5390604Z PASSED [ 15%]
2022-05-18T04:03:54.5779650Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_elman_relu_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:54.5780652Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:54.6171436Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:54.6171990Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:54.6697123Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:54.6697875Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:54.7088934Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:54.7089678Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:54.7266323Z PASSED [ 15%]
2022-05-18T04:03:54.7875796Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_elman_relu_trilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:54.7950581Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:54.8012838Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:54.8680699Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:54.8753805Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:54.8815973Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:54.8911230Z PASSED [ 15%]
2022-05-18T04:03:54.9515385Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_elman_relu_trilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:54.9587807Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:54.9648890Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:55.0312194Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:55.0386517Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:55.0447953Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:55.0542685Z PASSED [ 16%]
2022-05-18T04:03:55.0922692Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_elman_relu_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:55.0923396Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:55.1289613Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:55.1290191Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:55.1773134Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:55.1773667Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:55.2133217Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:55.2133751Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:55.2271093Z PASSED [ 16%]
2022-05-18T04:03:55.2652286Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_elman_relu_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:55.2652997Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:55.3012224Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:55.3012815Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:55.3492500Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:55.3493237Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:55.3855701Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:55.3856269Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:55.3995917Z PASSED [ 16%]
2022-05-18T04:03:55.4379326Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_elman_relu_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:55.4380075Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:55.4742160Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:55.4742678Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:55.5221677Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:55.5585619Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:55.5586153Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:55.5586673Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:55.5719724Z PASSED [ 16%]
2022-05-18T04:03:55.6100559Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_elman_relu_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:55.6101498Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:55.6462034Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:55.6462768Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:55.6936155Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:55.6936709Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:55.7300793Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:55.7301320Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:55.7433575Z PASSED [ 16%]
2022-05-18T04:03:55.7779535Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_elman_relu_trilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:55.7846003Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:55.7891353Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:55.8272385Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:55.8338078Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:55.8382635Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:55.8453539Z PASSED [ 16%]
2022-05-18T04:03:55.8797860Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_elman_relu_trilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:55.8863908Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:55.8913688Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:55.9294177Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:55.9360001Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:55.9404777Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:55.9478307Z PASSED [ 16%]
2022-05-18T04:03:55.9822535Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_elman_relu_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:55.9823236Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:56.0175809Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:56.0176557Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:56.0627048Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:56.0628146Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:56.0982165Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:56.0983148Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:56.1122269Z PASSED [ 16%]
2022-05-18T04:03:56.1468892Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_elman_relu_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:56.1470188Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:56.1823512Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:56.1824521Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:56.2273560Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:56.2274575Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:56.2628962Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:56.2629935Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:56.2768727Z PASSED [ 17%]
2022-05-18T04:03:56.3112734Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_elman_relu_trilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:56.3113496Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:56.3465192Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:56.3465749Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:56.3908771Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:56.3909311Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:56.4261816Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:56.4262326Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:56.4395410Z PASSED [ 17%]
2022-05-18T04:03:56.4738890Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_elman_relu_trilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:56.4739613Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:56.5092184Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:56.5092714Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:56.5538185Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:56.5538726Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:56.5892628Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:56.5893611Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:56.6026784Z PASSED [ 17%]
2022-05-18T04:03:56.6588452Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_elman_relu_trilayer_forward_no_initial_state_without_sequence_lengths_with_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:56.6625482Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:56.6661223Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:56.7273489Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:56.7312035Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:56.7348162Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:56.7433828Z PASSED [ 17%]
2022-05-18T04:03:56.7998979Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_elman_relu_trilayer_forward_no_initial_state_without_sequence_lengths_without_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:56.8040582Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:56.8076536Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:56.8689275Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:56.8726532Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:56.8762485Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:56.8846013Z PASSED [ 17%]
2022-05-18T04:03:56.9187469Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_elman_relu_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:56.9188237Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:56.9514819Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:56.9515348Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:56.9924385Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:56.9924920Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:57.0253195Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:57.0253722Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:57.0354956Z PASSED [ 17%]
2022-05-18T04:03:57.0695438Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_elman_relu_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:57.0696149Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:57.1025677Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:57.1026202Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:57.1438953Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:57.1439475Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:57.1766111Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:57.1766642Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:57.1869482Z PASSED [ 17%]
2022-05-18T04:03:57.2211541Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_elman_relu_trilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:57.2212231Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:57.2540452Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:57.2541028Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:57.2947368Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:57.2947962Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:57.3281197Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:57.3281927Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:57.3377590Z PASSED [ 17%]
2022-05-18T04:03:57.3716475Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_elman_relu_trilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:57.3717172Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:57.4045816Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:57.4046525Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:57.4448398Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:57.4448945Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:57.4775990Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:57.4776509Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:57.4873206Z PASSED [ 18%]
2022-05-18T04:03:57.5180780Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_elman_relu_trilayer_forward_with_initial_state_without_sequence_lengths_with_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:57.5215102Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:57.5237705Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:57.5577193Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:57.5611085Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:57.5633816Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:57.5696730Z PASSED [ 18%]
2022-05-18T04:03:57.6003075Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_elman_relu_trilayer_forward_with_initial_state_without_sequence_lengths_without_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:57.6037461Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:57.6059617Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:57.6395725Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:57.6429791Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:57.6453569Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:57.6516321Z PASSED [ 18%]
2022-05-18T04:03:57.6848857Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_elman_relu_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:57.6849590Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:57.7185145Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:57.7185816Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:57.7569556Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:57.7570190Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:57.7905683Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:57.7906237Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:57.7993001Z PASSED [ 18%]
2022-05-18T04:03:57.8325221Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_elman_relu_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:57.8325957Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:57.8662721Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:57.8663255Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:57.9045232Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:57.9045938Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:57.9382420Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:57.9465359Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:57.9465858Z PASSED [ 18%]
2022-05-18T04:03:57.9795225Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_elman_relu_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:57.9796117Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:58.0131651Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:58.0132220Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:58.0508171Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:58.0508755Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:58.0848530Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:58.0849443Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:58.0930771Z PASSED [ 18%]
2022-05-18T04:03:58.1268157Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_elman_relu_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:58.1269493Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:58.1605470Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:58.1606391Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:58.1986467Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:58.1987475Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:58.2323930Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:58.2324874Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:58.2402160Z PASSED [ 18%]
2022-05-18T04:03:58.2952852Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_elman_relu_unilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:58.2972556Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:58.2991309Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:58.3556771Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:58.3577220Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:58.3595190Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:58.3644798Z PASSED [ 18%]
2022-05-18T04:03:58.4200851Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_elman_relu_unilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:58.4220811Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:58.4239496Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:58.4813042Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:58.4833753Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:58.4852091Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:58.4903193Z PASSED [ 19%]
2022-05-18T04:03:58.5231830Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_elman_relu_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:58.5232551Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:58.5543718Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:58.5544531Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:58.5908924Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:58.5909489Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:58.6222015Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:58.6222627Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:58.6291990Z PASSED [ 19%]
2022-05-18T04:03:58.6621713Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_elman_relu_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:58.6622436Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:58.6933708Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:58.6934382Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:58.7295921Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:58.7296600Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:58.7606851Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:58.7607562Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:58.7673297Z PASSED [ 19%]
2022-05-18T04:03:58.7999940Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_elman_relu_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:58.8000636Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:58.8310368Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:58.8311086Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:58.8668463Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:58.8669160Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:58.8979670Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:58.8980368Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:58.9044015Z PASSED [ 19%]
2022-05-18T04:03:58.9370454Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_elman_relu_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:58.9371377Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:58.9681364Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:58.9682081Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:59.0035213Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:59.0035910Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:59.0346464Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:59.0347181Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:59.0410087Z PASSED [ 19%]
2022-05-18T04:03:59.0705873Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_elman_relu_unilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:59.0723166Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:59.0737139Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:59.1041977Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:59.1059376Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:59.1072066Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:59.1111375Z PASSED [ 19%]
2022-05-18T04:03:59.1408098Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_elman_relu_unilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:59.1427254Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:59.1441382Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:59.1746595Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:59.1764490Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:59.1778476Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:59.1820133Z PASSED [ 19%]
2022-05-18T04:03:59.2137557Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_elman_relu_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:59.2138267Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:59.2461452Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:59.2461976Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:59.2824487Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:59.2825011Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:59.3148207Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:59.3148737Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:59.3220154Z PASSED [ 19%]
2022-05-18T04:03:59.3539834Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_elman_relu_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:59.3540534Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:59.3864760Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:59.3865312Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:59.4224150Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:59.4224712Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:59.4548884Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:59.4549469Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:59.4622028Z PASSED [ 20%]
2022-05-18T04:03:59.4938733Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_elman_relu_unilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:59.4939484Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:59.5263975Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:59.5264611Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:59.5617682Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:59.5618320Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:59.5942541Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:59.5943153Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:59.6011797Z PASSED [ 20%]
2022-05-18T04:03:59.6330134Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_elman_relu_unilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:59.6330853Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:59.6656057Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:59.6656754Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:59.7015440Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:59.7015988Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:59.7339881Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:59.7340405Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:59.7410746Z PASSED [ 20%]
2022-05-18T04:03:59.7942801Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_elman_relu_unilayer_forward_no_initial_state_without_sequence_lengths_with_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:59.7951910Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:59.7963273Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:59.8513334Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:59.8522576Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:59.8535083Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:59.8581959Z PASSED [ 20%]
2022-05-18T04:03:59.9116623Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_elman_relu_unilayer_forward_no_initial_state_without_sequence_lengths_without_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:59.9125778Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:59.9138590Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:59.9689245Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:59.9698634Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:59.9711315Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:03:59.9762133Z PASSED [ 20%]
2022-05-18T04:04:00.0082202Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_elman_relu_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:00.0083144Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:00.0384841Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:00.0385349Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:00.0725557Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:00.0726123Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:00.1027107Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:00.1027641Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:00.1083701Z PASSED [ 20%]
2022-05-18T04:04:00.1397718Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_elman_relu_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:00.1398445Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:00.1701884Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:00.1702408Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:00.2039994Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:00.2040513Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:00.2340959Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:00.2341479Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:00.2400562Z PASSED [ 20%]
2022-05-18T04:04:00.2714799Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_elman_relu_unilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:00.2715496Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:00.3017321Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:00.3017904Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:00.3352977Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:00.3353532Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:00.3653970Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:00.3654798Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:00.3707273Z PASSED [ 20%]
2022-05-18T04:04:00.4018094Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_elman_relu_unilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:00.4018796Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:00.4318494Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:00.4319036Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:00.4650014Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:00.4650546Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:00.4952686Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:00.4953222Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:00.5007201Z PASSED [ 20%]
2022-05-18T04:04:00.5288309Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_elman_relu_unilayer_forward_with_initial_state_without_sequence_lengths_with_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:00.5296875Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:00.5304125Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:00.5590910Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:00.5598960Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:00.5606021Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:00.5642258Z PASSED [ 21%]
2022-05-18T04:04:00.5924548Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_elman_relu_unilayer_forward_with_initial_state_without_sequence_lengths_without_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:00.5933760Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:00.5941565Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:00.6230646Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:00.6240439Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:00.6247500Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:00.6282845Z PASSED [ 21%]
2022-05-18T04:04:00.6667047Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_elman_tanh_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:00.6667749Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:00.7058578Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:00.7059478Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:00.7591204Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:00.7591885Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:00.7980908Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:00.7981447Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:00.8163104Z PASSED [ 21%]
2022-05-18T04:04:00.8549268Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_elman_tanh_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:00.8549983Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:00.8939221Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:00.8939742Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:00.9469225Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:00.9469970Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:00.9858507Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:00.9859028Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:01.0039443Z PASSED [ 21%]
2022-05-18T04:04:01.0422953Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_elman_tanh_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:01.0423690Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:01.0815749Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:01.0816762Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:01.1349956Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:01.1744126Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:01.1745125Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:01.1746078Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:01.1923637Z PASSED [ 21%]
2022-05-18T04:04:01.2310136Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_elman_tanh_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:01.2311835Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:01.2703163Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:01.2704152Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:01.3226663Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:01.3227690Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:01.3619023Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:01.3619584Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:01.3798209Z PASSED [ 21%]
2022-05-18T04:04:01.4402965Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_elman_tanh_trilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:01.4475800Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:01.4537647Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:01.5202059Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:01.5275003Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:01.5336879Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:01.5431879Z PASSED [ 21%]
2022-05-18T04:04:01.6035484Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_elman_tanh_trilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:01.6109095Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:01.6171366Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:01.6833728Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:01.6907285Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:01.6969993Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:01.7066348Z PASSED [ 21%]
2022-05-18T04:04:01.7447577Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_elman_tanh_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:01.7448902Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:01.7810341Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:01.7811541Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:01.8298462Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:01.8299470Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:01.8661336Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:01.8662303Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:01.8801560Z PASSED [ 22%]
2022-05-18T04:04:01.9187249Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_elman_tanh_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:01.9188658Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:01.9551272Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:01.9552214Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:02.0034323Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:02.0035342Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:02.0395981Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:02.0396912Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:02.0534353Z PASSED [ 22%]
2022-05-18T04:04:02.0915041Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_elman_tanh_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:02.0916377Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:02.1277472Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:02.1278444Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:02.1751904Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:02.1752940Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:02.2113926Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:02.2114466Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:02.2246907Z PASSED [ 22%]
2022-05-18T04:04:02.2624935Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_elman_tanh_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:02.2625715Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:02.2985370Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:02.2985912Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:02.3457463Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:02.3458016Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:02.3817127Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:02.3817657Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:02.3947923Z PASSED [ 22%]
2022-05-18T04:04:02.4295540Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_elman_tanh_trilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:02.4361039Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:02.4406013Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:02.4785176Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:02.4851202Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:02.4896364Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:02.4968997Z PASSED [ 22%]
2022-05-18T04:04:02.5314263Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_elman_tanh_trilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:02.5379973Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:02.5425151Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:02.5807849Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:02.5875713Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:02.5920386Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:02.5992217Z PASSED [ 22%]
2022-05-18T04:04:02.6335254Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_elman_tanh_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:02.6335973Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:02.6688979Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:02.6689529Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:02.7140755Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:02.7141288Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:02.7494319Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:02.7495089Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:02.7635125Z PASSED [ 22%]
2022-05-18T04:04:02.7981294Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_elman_tanh_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:02.7981990Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:02.8334823Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:02.8335380Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:02.8789069Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:02.8789719Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:02.9143236Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:02.9143761Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:02.9285145Z PASSED [ 22%]
2022-05-18T04:04:02.9628751Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_elman_tanh_trilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:02.9629443Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:02.9981835Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:02.9982380Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:03.0426795Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:03.0427348Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:03.0780804Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:03.0782076Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:03.0916040Z PASSED [ 23%]
2022-05-18T04:04:03.1262152Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_elman_tanh_trilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:03.1263487Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:03.1618253Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:03.1619239Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:03.2064106Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:03.2065125Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:03.2421502Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:03.2422048Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:03.2556981Z PASSED [ 23%]
2022-05-18T04:04:03.3122618Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_elman_tanh_trilayer_forward_no_initial_state_without_sequence_lengths_with_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:03.3159948Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:03.3196038Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:03.3815731Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:03.3852803Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:03.3892283Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:03.3976903Z PASSED [ 23%]
2022-05-18T04:04:03.4540145Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_elman_tanh_trilayer_forward_no_initial_state_without_sequence_lengths_without_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:03.4577499Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:03.4613011Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:03.5228520Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:03.5265774Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:03.5301110Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:03.5384803Z PASSED [ 23%]
2022-05-18T04:04:03.5725826Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_elman_tanh_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:03.5726548Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:03.6052844Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:03.6053515Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:03.6461514Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:03.6462172Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:03.6789943Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:03.6790546Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:03.6892520Z PASSED [ 23%]
2022-05-18T04:04:03.7232033Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_elman_tanh_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:03.7232752Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:03.7559852Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:03.7560419Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:03.7969430Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:03.7970199Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:03.8299396Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:03.8299928Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:03.8401242Z PASSED [ 23%]
2022-05-18T04:04:03.8739690Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_elman_tanh_trilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:03.8740408Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:03.9068750Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:03.9069292Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:03.9473991Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:03.9474514Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:03.9801254Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:03.9801777Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:03.9900383Z PASSED [ 23%]
2022-05-18T04:04:04.0238812Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_elman_tanh_trilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:04.0239505Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:04.0566146Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:04.0566672Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:04.0970208Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:04.0970744Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:04.1298928Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:04.1299685Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:04.1395701Z PASSED [ 23%]
2022-05-18T04:04:04.1700709Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_elman_tanh_trilayer_forward_with_initial_state_without_sequence_lengths_with_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:04.1734655Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:04.1757051Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:04.2093118Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:04.2126792Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:04.2151327Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:04.2213896Z PASSED [ 24%]
2022-05-18T04:04:04.2518331Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_elman_tanh_trilayer_forward_with_initial_state_without_sequence_lengths_without_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:04.2553406Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:04.2575281Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:04.2910822Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:04.2943644Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:04.2966658Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:04.3026638Z PASSED [ 24%]
2022-05-18T04:04:04.3356410Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_elman_tanh_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:04.3357107Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:04.3697625Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:04.3698377Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:04.4080394Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:04.4080940Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:04.4417034Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:04.4417564Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:04.4498686Z PASSED [ 24%]
2022-05-18T04:04:04.4829063Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_elman_tanh_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:04.4829762Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:04.5165577Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:04.5166098Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:04.5546663Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:04.5547198Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:04.5882050Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:04.5882614Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:04.5964819Z PASSED [ 24%]
2022-05-18T04:04:04.6295448Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_elman_tanh_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:04.6296149Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:04.6631199Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:04.6631704Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:04.7006138Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:04.7006687Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:04.7341783Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:04.7342307Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:04.7419556Z PASSED [ 24%]
2022-05-18T04:04:04.7751786Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_elman_tanh_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:04.8087502Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:04.8088046Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:04.8088566Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:04.8464309Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:04.8464856Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:04.8801393Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:04.8801914Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:04.8880572Z PASSED [ 24%]
2022-05-18T04:04:04.9429221Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_elman_tanh_unilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:04.9447048Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:04.9465047Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:05.0034123Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:05.0052876Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:05.0071543Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:05.0124980Z PASSED [ 24%]
2022-05-18T04:04:05.0679722Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_elman_tanh_unilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:05.0699247Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:05.0717081Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:05.1291022Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:05.1310157Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:05.1329711Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:05.1381549Z PASSED [ 24%]
2022-05-18T04:04:05.1711518Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_elman_tanh_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:05.1712235Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:05.2023300Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:05.2023828Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:05.2389594Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:05.2390107Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:05.2701392Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:05.2701948Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:05.2769608Z PASSED [ 25%]
2022-05-18T04:04:05.3097820Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_elman_tanh_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:05.3098520Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:05.3408066Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:05.3408605Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:05.3771025Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:05.3771607Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:05.4083195Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:05.4083743Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:05.4150216Z PASSED [ 25%]
2022-05-18T04:04:05.4475721Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_elman_tanh_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:05.4476435Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:05.4787030Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:05.4787619Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:05.5142267Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:05.5142792Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:05.5453363Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:05.5453947Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:05.5515066Z PASSED [ 25%]
2022-05-18T04:04:05.5842672Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_elman_tanh_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:05.5843395Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:05.6156503Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:05.6157053Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:05.6517207Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:05.6517748Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:05.6829886Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:05.6830408Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:05.6893782Z PASSED [ 25%]
2022-05-18T04:04:05.7191926Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_elman_tanh_unilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:05.7208753Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:05.7221838Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:05.7528184Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:05.7545996Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:05.7559094Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:05.7600393Z PASSED [ 25%]
2022-05-18T04:04:05.7894863Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_elman_tanh_unilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:05.7912215Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:05.7926171Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:05.8232133Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:05.8249715Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:05.8263679Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:05.8304648Z PASSED [ 25%]
2022-05-18T04:04:05.8622145Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_elman_tanh_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:05.8623116Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:05.8947472Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:05.8948027Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:05.9306032Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:05.9306570Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:05.9630873Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:05.9631493Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:05.9702844Z PASSED [ 25%]
2022-05-18T04:04:06.0020890Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_elman_tanh_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:06.0021596Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:06.0346462Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:06.0346989Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:06.0709942Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:06.0710592Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:06.1035143Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:06.1035888Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:06.1108707Z PASSED [ 25%]
2022-05-18T04:04:06.1425257Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_elman_tanh_unilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:06.1425980Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:06.1750585Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:06.1751366Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:06.2102710Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:06.2103422Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:06.2427718Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:06.2428493Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:06.2495518Z PASSED [ 26%]
2022-05-18T04:04:06.2816450Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_elman_tanh_unilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:06.2817167Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:06.3143598Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:06.3144130Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:06.3505943Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:06.3506488Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:06.3834446Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:06.3834983Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:06.3906162Z PASSED [ 26%]
2022-05-18T04:04:06.4441832Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_elman_tanh_unilayer_forward_no_initial_state_without_sequence_lengths_with_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:06.4451172Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:06.4462877Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:06.5013444Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:06.5023040Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:06.5034448Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:06.5081455Z PASSED [ 26%]
2022-05-18T04:04:06.5613802Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_elman_tanh_unilayer_forward_no_initial_state_without_sequence_lengths_without_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:06.5623448Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:06.5635063Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:06.6183370Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:06.6192852Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:06.6204607Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:06.6250103Z PASSED [ 26%]
2022-05-18T04:04:06.6564272Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_elman_tanh_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:06.6565007Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:06.6866003Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:06.6866734Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:06.7205784Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:06.7206509Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:06.7507059Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:06.7507570Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:06.7562766Z PASSED [ 26%]
2022-05-18T04:04:06.7879713Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_elman_tanh_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:06.7880417Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:06.8181836Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:06.8182373Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:06.8518609Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:06.8519365Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:06.8820031Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:06.8820577Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:06.8874432Z PASSED [ 26%]
2022-05-18T04:04:06.9185481Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_elman_tanh_unilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:06.9186198Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:06.9486292Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:06.9486829Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:06.9815308Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:06.9815933Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:07.0116748Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:07.0117278Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:07.0167067Z PASSED [ 26%]
2022-05-18T04:04:07.0478468Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_elman_tanh_unilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:07.0479384Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:07.0780860Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:07.0781839Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:07.1116948Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:07.1117500Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:07.1418180Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:07.1418942Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:07.1470303Z PASSED [ 26%]
2022-05-18T04:04:07.1750100Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_elman_tanh_unilayer_forward_with_initial_state_without_sequence_lengths_with_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:07.1757987Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:07.1765009Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:07.2048768Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:07.2056825Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:07.2063712Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:07.2097845Z PASSED [ 27%]
2022-05-18T04:04:07.2375615Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_elman_tanh_unilayer_forward_with_initial_state_without_sequence_lengths_without_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:07.2383805Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:07.2390575Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:07.2673300Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:07.2681286Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:07.2688172Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:07.2721142Z PASSED [ 27%]
2022-05-18T04:04:07.4146358Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_embedding PASSED [ 27%]
2022-05-18T04:04:07.5315006Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_embedding_bag PASSED [ 27%]
2022-05-18T04:04:07.6746834Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_embedding_bag_1d_per_sample_weights PASSED [ 27%]
2022-05-18T04:04:07.8616856Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_embedding_bag_2d_per_sample_weights PASSED [ 27%]
2022-05-18T04:04:07.8641333Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_embedding_bag_dynamic_input SKIPPED [ 27%]
2022-05-18T04:04:07.8856245Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_embedding_model_with_external_data PASSED [ 27%]
2022-05-18T04:04:08.0418345Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_embedding_module PASSED [ 28%]
2022-05-18T04:04:08.1576837Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_embedding_renorm PASSED [ 28%]
2022-05-18T04:04:08.1970100Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_empty_branch PASSED [ 28%]
2022-05-18T04:04:08.2080519Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_empty_constant_shape Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'x.1'. This changes graph semantics.
2022-05-18T04:04:08.2618381Z Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'x.1'. This changes graph semantics.
2022-05-18T04:04:08.3154046Z Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'x.1'. This changes graph semantics.
2022-05-18T04:04:08.3750028Z Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'x.1'. This changes graph semantics.
2022-05-18T04:04:08.4565007Z PASSED [ 28%]
2022-05-18T04:04:08.4720191Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_empty_kwargs PASSED [ 28%]
2022-05-18T04:04:08.5495356Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_eq PASSED [ 28%]
2022-05-18T04:04:08.6739075Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_expand PASSED [ 28%]
2022-05-18T04:04:08.8289012Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_eye PASSED [ 28%]
2022-05-18T04:04:08.8314304Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_fake_quantize_activation SKIPPED [ 29%]
2022-05-18T04:04:08.8336606Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_fake_quantize_per_channel SKIPPED [ 29%]
2022-05-18T04:04:08.8792568Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_fake_quantize_per_tensor PASSED [ 29%]
2022-05-18T04:04:08.8815843Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_fake_quantize_per_tensor_dynamic_scale_zeropoint SKIPPED [ 29%]
2022-05-18T04:04:09.7966184Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_faster_rcnn [W LegacyTypeDispatch.h:79] Warning: AutoNonVariableTypeMode is deprecated and will be removed in 1.10 release. For kernel implementations please use AutoDispatchBelowADInplaceOrView instead, If you are looking for a user facing API to enable running your inference-only workload, please use c10::InferenceMode. Using AutoDispatchBelowADInplaceOrView in user code is under risk of producing silent wrong result in some edge cases. See Note [AutoDispatchBelowAutograd] for more details. (function operator())
2022-05-18T04:04:30.0285780Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:30.0561535Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:39.0800801Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:39.1111933Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:44.8934780Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:44.9097966Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:45.6492105Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:45.6507076Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:46.0144204Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:46.0159009Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:46.2071463Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:46.2182544Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:46.5402912Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:46.5406305Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:46.8678358Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:04:46.8682000Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:05:10.2365610Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:05:10.2625851Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:05:19.3270407Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:05:19.3599701Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:05:25.1720259Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:05:25.1875305Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:05:25.8896691Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:05:25.8910475Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:05:26.2387709Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:05:26.2401832Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:05:26.4250356Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:05:26.4353621Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:05:26.7361091Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:05:26.7364479Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:05:27.0499839Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:05:27.0502661Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:05:47.8023588Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:05:47.8282334Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:05:54.7692133Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:05:54.7994165Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:05:57.9480137Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:05:58.6369807Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:05:58.6383633Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:05:58.9476732Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:05:58.9490271Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:05:59.0670754Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:05:59.3522475Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:05:59.3525888Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:05:59.6277814Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:05:59.6280649Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:21.8130324Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:21.8382367Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:28.8257706Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:28.8566302Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:32.0379399Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:32.7320498Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:32.7333494Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:33.0455160Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:33.0468183Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:33.1671317Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:33.4562350Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:33.4565614Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:33.7323489Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:33.7326422Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:37.0811394Z PASSED [ 29%]
2022-05-18T04:06:37.1203912Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_fill PASSED [ 29%]
2022-05-18T04:06:37.1841344Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_flatten PASSED [ 29%]
2022-05-18T04:06:37.2155596Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_flatten2d PASSED [ 29%]
2022-05-18T04:06:37.2809055Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_flatten2d_neg PASSED [ 30%]
2022-05-18T04:06:37.3172662Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_flatten_dynamic_axes PASSED [ 30%]
2022-05-18T04:06:37.3452751Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_flip PASSED [ 30%]
2022-05-18T04:06:37.4245026Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_floating_point PASSED [ 30%]
2022-05-18T04:06:37.5469687Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_floating_point_infer_dtype PASSED [ 30%]
2022-05-18T04:06:37.9295620Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_floor_div PASSED [ 30%]
2022-05-18T04:06:37.9581041Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_floor_div_script PASSED [ 30%]
2022-05-18T04:06:38.0977794Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_floordiv PASSED [ 30%]
2022-05-18T04:06:38.1201805Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_fmod PASSED [ 31%]
2022-05-18T04:06:38.1476998Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_fmod_scalar PASSED [ 31%]
2022-05-18T04:06:38.2523284Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_frobenius_norm PASSED [ 31%]
2022-05-18T04:06:38.2873438Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_frobenius_norm_keepdim PASSED [ 31%]
2022-05-18T04:06:38.3306754Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_full_like PASSED [ 31%]
2022-05-18T04:06:38.3858442Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_full_like_value PASSED [ 31%]
2022-05-18T04:06:38.4078203Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_full_script PASSED [ 31%]
2022-05-18T04:06:38.4505503Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_full_trace PASSED [ 31%]
2022-05-18T04:06:38.4778499Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_fuse_addmm PASSED [ 32%]
2022-05-18T04:06:38.5889834Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_fuse_conv_bn1d PASSED [ 32%]
2022-05-18T04:06:38.7068163Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_fuse_conv_bn2d PASSED [ 32%]
2022-05-18T04:06:38.8446051Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_fuse_conv_bn3d PASSED [ 32%]
2022-05-18T04:06:38.9290686Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_fuse_conv_in_block PASSED [ 32%]
2022-05-18T04:06:38.9621737Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_gather PASSED [ 32%]
2022-05-18T04:06:38.9881548Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_gather_constant_fold WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:38.9982199Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:38.9986520Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:39.0259047Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:06:39.0269178Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:06:39.0342023Z Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: '0'. This changes graph semantics.
2022-05-18T04:06:39.0585392Z PASSED [ 32%]
2022-05-18T04:06:39.1410170Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_ge PASSED [ 32%]
2022-05-18T04:06:39.1934031Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_ge_scalar PASSED [ 33%]
2022-05-18T04:06:39.2248405Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_gelu PASSED [ 33%]
2022-05-18T04:06:39.2563032Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_getitem PASSED [ 33%]
2022-05-18T04:06:39.2908955Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_glu PASSED [ 33%]
2022-05-18T04:06:39.2933973Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_grid_sample SKIPPED [ 33%]
2022-05-18T04:06:48.3781665Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_groupnorm PASSED [ 33%]
2022-05-18T04:06:48.7933506Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_groupnorm_noaffine PASSED [ 33%]
2022-05-18T04:06:48.9857049Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_gru_constant_folding WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:49.0140747Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:49.0295088Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:49.0646469Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:49.0890590Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:49.1029117Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:49.2828864Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:49.3048691Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:49.3173538Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:49.3514902Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:49.3693652Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:49.3795584Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:49.3861340Z PASSED [ 33%]
2022-05-18T04:06:49.5568153Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_gru_no_bias WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:49.5617131Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:49.5679545Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:49.5737374Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:49.5760467Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:49.5788599Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:49.5842273Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:49.5842777Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:49.5846796Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:49.6173737Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:49.6220552Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:49.6277301Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:49.6303761Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:49.6329937Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:49.6361152Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:49.6374254Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:49.6374879Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:49.6379358Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:49.8005801Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:49.8030350Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:49.8062582Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:49.8094002Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:49.8142015Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:49.8154199Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:49.8168756Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:49.8183979Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:49.8233598Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:49.8234099Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:49.8237498Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:49.8240917Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:49.8560501Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:49.8583530Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:49.8612585Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:49.8641771Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:49.8660826Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:49.8673765Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:49.8689600Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:49.8705931Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:49.8715819Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:49.8716308Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:49.8719919Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:49.8723145Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:49.8781286Z PASSED [ 34%]
2022-05-18T04:06:50.0964952Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_gru_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:50.0965755Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:50.1501797Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:50.1502314Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:50.2355561Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:50.2356108Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:50.3034738Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:50.3035273Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:50.5103056Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:50.5103610Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:50.5643643Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:50.5644380Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:50.6474274Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:50.6474815Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:50.7145305Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:50.7145852Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:50.7551416Z PASSED [ 34%]
2022-05-18T04:06:50.9474338Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_gru_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:50.9475060Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:51.0010062Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:51.0010618Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:51.0859132Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:51.0859741Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:51.1536051Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:51.1536577Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:51.3565551Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:51.3573101Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:51.4101207Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:51.4101890Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:51.4927641Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:51.4928512Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:51.5597129Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:51.5597832Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:51.6004034Z PASSED [ 34%]
2022-05-18T04:06:51.7948587Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_gru_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:51.7949424Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:51.8496370Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:51.8496917Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:51.9357848Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:51.9358388Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:52.0032049Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:52.0032572Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:52.2080628Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:52.2081639Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:52.2618304Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:52.2619321Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:52.3433944Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:52.3434937Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:52.4109086Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:52.4109963Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:52.4509880Z PASSED [ 34%]
2022-05-18T04:06:52.6423735Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_gru_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:52.6425080Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:52.6960495Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:52.6961461Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:52.7800933Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:52.7802238Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:52.8475895Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:52.8476823Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:53.0499985Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:53.0501076Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:53.1039916Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:53.1040887Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:53.1862536Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:53.1863108Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:53.2538816Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:53.2539362Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:53.2941122Z PASSED [ 34%]
2022-05-18T04:06:53.4733361Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_gru_trilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:53.5145039Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:53.5363859Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:53.6053978Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:53.6439803Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:53.6693152Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:53.8517222Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:53.8930142Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:53.9133335Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:53.9827322Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:54.0212974Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:54.0463643Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:54.0563738Z PASSED [ 34%]
2022-05-18T04:06:54.2363329Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_gru_trilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:54.2773882Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:54.2992824Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:54.3684522Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:54.4065874Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:54.4314019Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:54.6135890Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:54.6551857Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:54.6753471Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:54.7451770Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:54.7839460Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:54.8089684Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:54.8190619Z PASSED [ 34%]
2022-05-18T04:06:54.9917092Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_gru_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:54.9918143Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:55.0333397Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:55.0333976Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:55.1159274Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:55.1159828Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:55.1805677Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:55.1806272Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:55.3796593Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:55.3797190Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:55.4213681Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:55.4214222Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:55.5011445Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:55.5011963Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:55.5651487Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:55.5652308Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:55.6014259Z PASSED [ 34%]
2022-05-18T04:06:55.7709202Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_gru_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:55.7709923Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:55.8125064Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:55.8125799Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:55.8946197Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:55.8946734Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:55.9593049Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:55.9593585Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:56.1555295Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:56.1555828Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:56.1970849Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:56.1971378Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:56.2765847Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:56.2766403Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:56.3407581Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:56.3408118Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:56.3772977Z PASSED [ 35%]
2022-05-18T04:06:56.5490592Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_gru_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:56.5491535Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:56.5906191Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:56.5906765Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:56.6719623Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:56.6720359Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:56.7366094Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:56.7366645Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:56.9335102Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:56.9335660Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:56.9755484Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:56.9756209Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:57.0541640Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:57.0542295Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:57.1188857Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:57.1189599Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:57.1549770Z PASSED [ 35%]
2022-05-18T04:06:57.3250614Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_gru_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:57.3251342Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:57.3664368Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:57.3665188Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:57.4475700Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:57.4476247Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:57.5117984Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:57.5118514Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:57.7063058Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:57.7063606Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:57.7476831Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:57.7477350Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:57.8262595Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:57.8263301Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:57.8902733Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:57.8903465Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:57.9258076Z PASSED [ 35%]
2022-05-18T04:06:58.1135961Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_gru_trilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:58.1544119Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:58.1761071Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:58.2169511Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:58.2548301Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:58.2780821Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:58.4671063Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:58.5077368Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:58.5264355Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:58.5674731Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:58.6047390Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:58.6284465Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:58.6360162Z PASSED [ 35%]
2022-05-18T04:06:58.8238008Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_gru_trilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:58.8649838Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:58.8867946Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:58.9275118Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:58.9650248Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:58.9883582Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:59.1768829Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:59.2175692Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:59.2363184Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:59.2772164Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:59.3146412Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:59.3379201Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:59.3456302Z PASSED [ 35%]
2022-05-18T04:06:59.5066588Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_gru_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:59.5067373Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:59.5430854Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:59.5431603Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:59.6098137Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:59.6098917Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:59.6581170Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:59.6581842Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:59.8127906Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:59.8128521Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:59.8493057Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:59.8493602Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:59.9138888Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:59.9139436Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:59.9621637Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:59.9622203Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:06:59.9861404Z PASSED [ 35%]
2022-05-18T04:07:00.1437171Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_gru_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:00.1437880Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:00.1801876Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:00.1802397Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:00.2474552Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:00.2475103Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:00.2960563Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:00.2961390Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:00.4494739Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:00.4495290Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:00.4860903Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:00.4861411Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:00.5500957Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:00.5501487Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:00.5983498Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:00.5984023Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:00.6221944Z PASSED [ 35%]
2022-05-18T04:07:00.7827410Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_gru_trilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:00.7828108Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:00.8192819Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:00.8193345Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:00.8854429Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:00.8855143Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:00.9343122Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:00.9343710Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:01.0895484Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:01.0896039Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:01.1264650Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:01.1265242Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:01.1895816Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:01.1896414Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:01.2379923Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:01.2380449Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:01.2614160Z PASSED [ 35%]
2022-05-18T04:07:01.4193346Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_gru_trilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:01.4194119Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:01.4560789Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:01.4561345Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:01.5219299Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:01.5219835Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:01.5702367Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:01.5703112Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:01.7218208Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:01.7219226Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:01.7584056Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:01.7585072Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:01.8214229Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:01.8215692Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:01.8697726Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:01.8698598Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:01.8928684Z PASSED [ 36%]
2022-05-18T04:07:02.0377644Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_gru_trilayer_forward_no_initial_state_without_sequence_lengths_with_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:02.0597811Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:02.0728629Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:02.1351093Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:02.1532842Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:02.1649593Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:02.3116529Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:02.3335725Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:02.3449471Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:02.4083928Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:02.4265981Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:02.4382350Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:02.4468699Z PASSED [ 36%]
2022-05-18T04:07:02.5928248Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_gru_trilayer_forward_no_initial_state_without_sequence_lengths_without_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:02.6148089Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:02.6277859Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:02.6899762Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:02.7080831Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:02.7195438Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:02.8665187Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:02.8883783Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:02.8991008Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:02.9612603Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:02.9792331Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:02.9907670Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:02.9992796Z PASSED [ 36%]
2022-05-18T04:07:03.1397416Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_gru_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:03.1398174Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:03.1643375Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:03.1644259Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:03.2287193Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:03.2287881Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:03.2744216Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:03.2744991Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:03.4247228Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:03.4247986Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:03.4493478Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:03.4494250Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:03.5106882Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:03.5107552Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:03.5565054Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:03.5565772Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:03.5765973Z PASSED [ 36%]
2022-05-18T04:07:03.7153639Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_gru_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:03.7154368Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:03.7399833Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:03.7400534Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:03.8043667Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:03.8044425Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:03.8502087Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:03.8502787Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:03.9983112Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:03.9983776Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:04.0230851Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:04.0231766Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:04.0846543Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:04.0847556Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:04.1305673Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:04.1306633Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:04.1504233Z PASSED [ 36%]
2022-05-18T04:07:04.2904684Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_gru_trilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:04.2905394Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:04.3151887Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:04.3152413Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:04.3785329Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:04.3785853Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:04.4243318Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:04.4244032Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:04.5742301Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:04.5742912Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:04.5989030Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:04.5989605Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:04.6599636Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:04.6600165Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:04.7059373Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:04.7059902Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:04.7254819Z PASSED [ 36%]
2022-05-18T04:07:04.8635387Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_gru_trilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:04.8636115Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:04.8887325Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:04.8887847Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:04.9527196Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:04.9527789Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:04.9987503Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:04.9988057Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:05.1474041Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:05.1474563Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:05.1722509Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:05.1723289Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:05.2332905Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:05.2333434Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:05.2793736Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:05.2794539Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:05.2990461Z PASSED [ 36%]
2022-05-18T04:07:05.4526834Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_gru_trilayer_forward_with_initial_state_without_sequence_lengths_with_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:05.4743954Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:05.4870539Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:05.5215578Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:05.5394098Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:05.5496339Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:05.7038935Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:05.7257686Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:05.7357551Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:05.7710945Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:05.7887448Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:05.7988594Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:05.8053437Z PASSED [ 36%]
2022-05-18T04:07:05.9586580Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_gru_trilayer_forward_with_initial_state_without_sequence_lengths_without_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:05.9802856Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:05.9929980Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:06.0275867Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:06.0453530Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:06.0555147Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:06.2093436Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:06.2310412Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:06.2407862Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:06.2754431Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:06.2931521Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:06.3032330Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:06.3096495Z PASSED [ 37%]
2022-05-18T04:07:06.4643478Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_gru_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:06.4644245Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:06.4948228Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:06.4948767Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:06.5529575Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:06.5530090Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:06.5950981Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:06.5951755Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:06.7360538Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:06.7361097Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:06.7668286Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:06.7668826Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:06.8227439Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:06.8228204Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:06.8648095Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:06.8648618Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:06.8798035Z PASSED [ 37%]
2022-05-18T04:07:07.0335030Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_gru_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:07.0335769Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:07.0640408Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:07.0640955Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:07.1224158Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:07.1224694Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:07.1646891Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:07.1647415Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:07.3021727Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:07.3022292Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:07.3329887Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:07.3330429Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:07.3883964Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:07.3884491Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:07.4307486Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:07.4308169Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:07.4455185Z PASSED [ 37%]
2022-05-18T04:07:07.6015733Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_gru_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:07.6016435Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:07.6321411Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:07.6321952Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:07.6894121Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:07.6894763Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:07.7314307Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:07.7314810Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:07.8718379Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:07.8718912Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:07.9025985Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:07.9026530Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:07.9576023Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:07.9576769Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:07.9997313Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:07.9997852Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:08.0144440Z PASSED [ 37%]
2022-05-18T04:07:08.1676402Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_gru_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:08.1677323Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:08.1981415Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:08.1981921Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:08.2563166Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:08.2563705Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:08.2983601Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:08.2984155Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:08.4353331Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:08.4353871Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:08.4658156Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:08.4658723Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:08.5205075Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:08.5205597Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:08.5625402Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:08.5626240Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:08.5768112Z PASSED [ 37%]
2022-05-18T04:07:08.7149983Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_gru_unilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:08.7300468Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:08.7391203Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:08.7965690Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:08.8079822Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:08.8147745Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:08.9526921Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:08.9678116Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:08.9749284Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:09.0326890Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:09.0439512Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:09.0508460Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:09.0562932Z PASSED [ 37%]
2022-05-18T04:07:09.1946513Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_gru_unilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:09.2096807Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:09.2188554Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:09.2765325Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:09.2879088Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:09.2948723Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:09.4319877Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:09.4471013Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:09.4541456Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:09.5120021Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:09.5233066Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:09.5301537Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:09.5355024Z PASSED [ 37%]
2022-05-18T04:07:09.6665002Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_gru_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:09.6666327Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:09.6852660Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:09.6853628Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:09.7418119Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:09.7419134Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:09.7815734Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:09.7816638Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:09.9166815Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:09.9167828Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:09.9355342Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:09.9356627Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:09.9896755Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:09.9897794Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:10.0294217Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:10.0295283Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:10.0426964Z PASSED [ 37%]
2022-05-18T04:07:10.1716983Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_gru_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:10.1718370Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:10.1907143Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:10.1908112Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:10.2478942Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:10.2479960Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:10.2877266Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:10.2878157Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:10.4193800Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:10.4194819Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:10.4386558Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:10.4387577Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:10.4928507Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:10.4929507Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:10.5326712Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:10.5327566Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:10.5460522Z PASSED [ 38%]
2022-05-18T04:07:10.6778385Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_gru_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:10.6779735Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:10.6967930Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:10.6968946Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:10.7525341Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:10.7526373Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:10.7923384Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:10.7924238Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:10.9257993Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:10.9258998Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:10.9445798Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:10.9978271Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:10.9979284Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:10.9980261Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:11.0378917Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:11.0379758Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:11.0507306Z PASSED [ 38%]
2022-05-18T04:07:11.1795738Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_gru_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:11.1797074Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:11.1985158Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:11.1986157Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:11.2542085Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:11.2543408Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:11.2940772Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:11.2941660Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:11.4256913Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:11.4257955Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:11.4446172Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:11.4447171Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:11.4976069Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:11.4977076Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:11.5372192Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:11.5373074Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:11.5497182Z PASSED [ 38%]
2022-05-18T04:07:11.6960547Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_gru_unilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:11.7111671Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:11.7207750Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:11.7518604Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:11.7631915Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:11.7695440Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:11.9139225Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:11.9289386Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:11.9357033Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:11.9669524Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:11.9780826Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:11.9843835Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:11.9886510Z PASSED [ 38%]
2022-05-18T04:07:12.1358713Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_gru_unilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:12.1509041Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:12.1604929Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:12.1916785Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:12.2027563Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:12.2090375Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:12.3533556Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:12.3682871Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:12.3749498Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:12.4060833Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:12.4178006Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:12.4240752Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:12.4282602Z PASSED [ 38%]
2022-05-18T04:07:12.5702071Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_gru_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:12.5703026Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:12.5951853Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:12.5952383Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:12.6473676Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:12.6474269Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:12.6840274Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:12.6840838Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:12.8073251Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:12.8073796Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:12.8322208Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:12.8322742Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:12.8819570Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:12.8820123Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:12.9187578Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:12.9188268Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:12.9294221Z PASSED [ 38%]
2022-05-18T04:07:13.0711875Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_gru_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:13.0712584Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:13.0964455Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:13.0965017Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:13.1501336Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:13.1501876Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:13.1869642Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:13.1870151Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:13.3088382Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:13.3088954Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:13.3337175Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:13.3337702Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:13.3836523Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:13.3837057Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:13.4203252Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:13.4203915Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:13.4309742Z PASSED [ 38%]
2022-05-18T04:07:13.5732710Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_gru_unilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:13.5733621Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:13.5982488Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:13.5983011Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:13.6505960Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:13.6506497Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:13.6874017Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:13.6874557Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:13.8126909Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:13.8127442Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:13.8376059Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:13.8376598Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:13.8871409Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:13.8871945Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:13.9238874Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:13.9239408Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:13.9343320Z PASSED [ 38%]
2022-05-18T04:07:14.0753715Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_gru_unilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:14.0754426Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:14.1003270Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:14.1004037Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:14.1526982Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:14.1527519Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:14.1894044Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:14.1894729Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:14.3105121Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:14.3105871Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:14.3353641Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:14.3354159Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:14.3842440Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:14.3842973Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:14.4209638Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:14.4210231Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:14.4306118Z PASSED [ 39%]
2022-05-18T04:07:14.5556865Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_gru_unilayer_forward_no_initial_state_without_sequence_lengths_with_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:14.5643004Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:14.5704911Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:14.6254964Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:14.6310288Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:14.6345707Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:14.7573949Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:14.7661443Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:14.7701819Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:14.8257611Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:14.8312515Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:14.8351242Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:14.8399581Z PASSED [ 39%]
2022-05-18T04:07:14.9652844Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_gru_unilayer_forward_no_initial_state_without_sequence_lengths_without_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:14.9739200Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:14.9804376Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:15.0356744Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:15.0411752Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:15.0450032Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:15.1689801Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:15.1778278Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:15.1819150Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:15.2378877Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:15.2434564Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:15.2469506Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:15.2519541Z PASSED [ 39%]
2022-05-18T04:07:15.3732009Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_gru_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:15.3732926Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:15.3862616Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:15.3863137Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:15.4366395Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:15.4367088Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:15.4709744Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:15.4710279Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:15.5901642Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:15.5902335Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:15.6031700Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:15.6032222Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:15.6506831Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:15.6507408Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:15.6848886Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:15.6849424Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:15.6935473Z PASSED [ 39%]
2022-05-18T04:07:15.8118217Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_gru_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:15.8118925Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:15.8248876Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:15.8249480Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:15.8755437Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:15.8755969Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:15.9100840Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:15.9101379Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:16.0282295Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:16.0282872Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:16.0413709Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:16.0414346Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:16.0894991Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:16.0895577Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:16.1238495Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:16.1239193Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:16.1326757Z PASSED [ 39%]
2022-05-18T04:07:16.2531372Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_gru_unilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:16.2532104Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:16.2661947Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:16.2662662Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:16.3164679Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:16.3165590Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:16.3508805Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:16.3509475Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:16.4702277Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:16.4702916Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:16.4833209Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:16.4833736Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:16.5308410Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:16.5309008Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:16.5651434Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:16.5652164Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:16.5732577Z PASSED [ 39%]
2022-05-18T04:07:16.6912913Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_gru_unilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:16.6913620Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:16.7043504Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:16.7044086Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:16.7544013Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:16.7544557Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:16.7887238Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:16.7887801Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:16.9055627Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:16.9056627Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:16.9187351Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:16.9188355Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:16.9656961Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:16.9658210Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:17.0001718Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:17.0002633Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:17.0083384Z PASSED [ 39%]
2022-05-18T04:07:17.1419968Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_gru_unilayer_forward_with_initial_state_without_sequence_lengths_with_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:17.1506246Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:17.1572283Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:17.1861991Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:17.1916344Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:17.1947611Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:17.3260143Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:17.3346380Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:17.3384044Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:17.3678041Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:17.3733247Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:17.3766997Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:17.3807115Z PASSED [ 39%]
2022-05-18T04:07:17.5146455Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_gru_unilayer_forward_with_initial_state_without_sequence_lengths_without_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:17.5232044Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:17.5302108Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:17.5591769Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:17.5645645Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:17.5676180Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:17.6986791Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:17.7072119Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:17.7108878Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:17.7398229Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:17.7451232Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:17.7481963Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:17.7520835Z PASSED [ 40%]
2022-05-18T04:07:17.8317486Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_gt PASSED [ 40%]
2022-05-18T04:07:17.8558522Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_gt_primitive PASSED [ 40%]
2022-05-18T04:07:17.9078351Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_gt_scalar PASSED [ 40%]
2022-05-18T04:07:17.9393429Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_hann_window_default_values PASSED [ 40%]
2022-05-18T04:07:18.0053996Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_hann_window_not_periodic PASSED [ 40%]
2022-05-18T04:07:18.0704927Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_hann_window_periodic PASSED [ 40%]
2022-05-18T04:07:18.1532670Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_hardshrink PASSED [ 40%]
2022-05-18T04:07:18.2094416Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_hardsigmoid PASSED [ 40%]
2022-05-18T04:07:18.2664847Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_hardswish PASSED [ 41%]
2022-05-18T04:07:18.2809313Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_hardswish_script PASSED [ 41%]
2022-05-18T04:07:18.3169899Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_hardtanh PASSED [ 41%]
2022-05-18T04:07:18.3365404Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_hardtanh_script_with_default_values PASSED [ 41%]
2022-05-18T04:07:18.7524089Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_heatmaps_to_keypoints PASSED [ 41%]
2022-05-18T04:07:19.3474109Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_if_fold PASSED [ 41%]
2022-05-18T04:07:19.3487499Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_if_list SKIPPED [ 41%]
2022-05-18T04:07:19.3809525Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_if_transpose PASSED [ 41%]
2022-05-18T04:07:19.3833065Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_if_view SKIPPED [ 42%]
2022-05-18T04:07:19.5870662Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_im2col PASSED [ 42%]
2022-05-18T04:07:19.6185168Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_index_1d PASSED [ 42%]
2022-05-18T04:07:19.6758656Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_index_2d_1dimslice PASSED [ 42%]
2022-05-18T04:07:19.7354466Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_index_2d_neg_slice PASSED [ 42%]
2022-05-18T04:07:19.7856410Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_index_2d_sliceint PASSED [ 42%]
2022-05-18T04:07:19.7945181Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_index_add_dim_size_differ Warning: ONNX Preprocess - Removing mutation from node aten::index_add_ on block input: 'x.1'. This changes graph semantics.
2022-05-18T04:07:19.8172561Z Warning: ONNX Preprocess - Removing mutation from node aten::index_add_ on block input: '0'. This changes graph semantics.
2022-05-18T04:07:19.8404328Z PASSED [ 42%]
2022-05-18T04:07:19.8494639Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_index_add_dynamic_axes Warning: ONNX Preprocess - Removing mutation from node aten::index_add_ on block input: 'x.1'. This changes graph semantics.
2022-05-18T04:07:19.8731929Z Warning: ONNX Preprocess - Removing mutation from node aten::index_add_ on block input: '0'. This changes graph semantics.
2022-05-18T04:07:19.8978485Z PASSED [ 42%]
2022-05-18T04:07:19.9087049Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_index_add_if Warning: ONNX Preprocess - Removing mutation from node aten::index_add_ on block input: 'x.1'. This changes graph semantics.
2022-05-18T04:07:19.9087705Z Warning: ONNX Preprocess - Removing mutation from node aten::index_add_ on block input: 'x.1'. This changes graph semantics.
2022-05-18T04:07:19.9343422Z PASSED [ 43%]
2022-05-18T04:07:19.9444532Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_index_add_in_loop Warning: ONNX Preprocess - Removing mutation from node aten::index_add_ on block input: 'x.1'. This changes graph semantics.
2022-05-18T04:07:19.9890402Z Warning: ONNX Preprocess - Removing mutation from node aten::index_add_ on block input: '0'. This changes graph semantics.
2022-05-18T04:07:20.0460636Z PASSED [ 43%]
2022-05-18T04:07:20.0553049Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_index_add_normal Warning: ONNX Preprocess - Removing mutation from node aten::index_add_ on block input: 'x.1'. This changes graph semantics.
2022-05-18T04:07:20.0803874Z Warning: ONNX Preprocess - Removing mutation from node aten::index_add_ on block input: '0'. This changes graph semantics.
2022-05-18T04:07:20.1092929Z Warning: ONNX Preprocess - Removing mutation from node aten::index_add_ on block input: 'x.1'. This changes graph semantics.
2022-05-18T04:07:20.1315683Z Warning: ONNX Preprocess - Removing mutation from node aten::index_add_ on block input: '0'. This changes graph semantics.
2022-05-18T04:07:20.1613245Z Warning: ONNX Preprocess - Removing mutation from node aten::index_add_ on block input: 'x.1'. This changes graph semantics.
2022-05-18T04:07:20.1860089Z Warning: ONNX Preprocess - Removing mutation from node aten::index_add_ on block input: '0'. This changes graph semantics.
2022-05-18T04:07:20.2095041Z PASSED [ 43%]
2022-05-18T04:07:20.2570706Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_index_copy PASSED [ 43%]
2022-05-18T04:07:20.3089376Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_index_fill PASSED [ 43%]
2022-05-18T04:07:20.3769177Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_index_mask PASSED [ 43%]
2022-05-18T04:07:20.4170033Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_index_mask_nd PASSED [ 43%]
2022-05-18T04:07:20.4638694Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_index_put PASSED [ 43%]
2022-05-18T04:07:20.5115378Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_index_put_accumulate PASSED [ 44%]
2022-05-18T04:07:20.9143386Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_index_put_ellipsis PASSED [ 44%]
2022-05-18T04:07:21.8531999Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_index_put_if PASSED [ 44%]
2022-05-18T04:07:23.5476778Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_index_put_if_2 PASSED [ 44%]
2022-05-18T04:07:24.0042188Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_index_put_if_3 PASSED [ 44%]
2022-05-18T04:07:24.6290620Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_index_put_if_4 PASSED [ 44%]
2022-05-18T04:07:25.2461944Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_index_put_if_5 PASSED [ 44%]
2022-05-18T04:07:26.0294100Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_index_put_inplace_ops PASSED [ 44%]
2022-05-18T04:07:30.2932180Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_index_put_loop PASSED [ 45%]
2022-05-18T04:07:30.3052283Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_index_put_singular Warning: ONNX Preprocess - Removing mutation from node aten::index_put_ on block input: 'mask.1'. This changes graph semantics.
2022-05-18T04:07:30.3412401Z Warning: ONNX Preprocess - Removing mutation from node aten::index_put_ on block input: '0'. This changes graph semantics.
2022-05-18T04:07:30.3768305Z Warning: ONNX Preprocess - Removing mutation from node aten::index_put_ on block input: 'mask.1'. This changes graph semantics.
2022-05-18T04:07:30.4063915Z Warning: ONNX Preprocess - Removing mutation from node aten::index_put_ on block input: '0'. This changes graph semantics.
2022-05-18T04:07:30.4328322Z PASSED [ 45%]
2022-05-18T04:07:30.4459365Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_index_put_slice_index Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'update.1'. This changes graph semantics.
2022-05-18T04:07:30.7576200Z Warning: ONNX Preprocess - Removing mutation from node aten::index_put_ on block input: 'x.1'. This changes graph semantics.
2022-05-18T04:07:30.7576755Z Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'update.1'. This changes graph semantics.
2022-05-18T04:07:30.8195627Z Warning: ONNX Preprocess - Removing mutation from node aten::index_put_ on block input: '0'. This changes graph semantics.
2022-05-18T04:07:30.9119159Z Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'update.1'. This changes graph semantics.
2022-05-18T04:07:31.1095855Z Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'update.1'. This changes graph semantics.
2022-05-18T04:07:31.2610555Z Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'update.1'. This changes graph semantics.
2022-05-18T04:07:32.4926910Z PASSED [ 45%]
2022-05-18T04:07:32.6063012Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_index_put_to_masked_fill PASSED [ 45%]
2022-05-18T04:07:32.6778155Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_index_put_to_masked_scatter PASSED [ 45%]
2022-05-18T04:07:32.7111450Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_index_select_constant_scaler_index PASSED [ 45%]
2022-05-18T04:07:32.7525063Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_index_select_scaler_index PASSED [ 45%]
2022-05-18T04:07:32.7682163Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_initializer_sequence PASSED [ 45%]
2022-05-18T04:07:32.8199698Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_initializer_sequence_script_model PASSED [ 46%]
2022-05-18T04:07:32.8285033Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_inplace_arithmetic Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'x.1'. This changes graph semantics.
2022-05-18T04:07:32.8285696Z Warning: ONNX Preprocess - Removing mutation from node aten::mul_ on block input: 'y.1'. This changes graph semantics.
2022-05-18T04:07:32.8537677Z PASSED [ 46%]
2022-05-18T04:07:32.8638945Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_inplace_arithmetic_half Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'x.1'. This changes graph semantics.
2022-05-18T04:07:32.8804548Z Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: '0'. This changes graph semantics.
2022-05-18T04:07:32.9028288Z Warning: ONNX Preprocess - Removing mutation from node aten::mul_ on block input: 'x.1'. This changes graph semantics.
2022-05-18T04:07:32.9163643Z Warning: ONNX Preprocess - Removing mutation from node aten::mul_ on block input: '0'. This changes graph semantics.
2022-05-18T04:07:32.9284790Z PASSED [ 46%]
2022-05-18T04:07:33.2038402Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_inplace_attr_copy_with_loop PASSED [ 46%]
2022-05-18T04:07:33.2831960Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_inplace_attr_with_loop PASSED [ 46%]
2022-05-18T04:07:33.2936729Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_inplace_fill Warning: ONNX Preprocess - Removing mutation from node aten::fill_ on block input: 'x.1'. This changes graph semantics.
2022-05-18T04:07:33.3191193Z Warning: ONNX Preprocess - Removing mutation from node aten::fill_ on block input: '0'. This changes graph semantics.
2022-05-18T04:07:33.3508141Z Warning: ONNX Preprocess - Removing mutation from node aten::fill_ on block input: 'x.1'. This changes graph semantics.
2022-05-18T04:07:33.3749297Z Warning: ONNX Preprocess - Removing mutation from node aten::fill_ on block input: '0'. This changes graph semantics.
2022-05-18T04:07:33.3983901Z PASSED [ 46%]
2022-05-18T04:07:33.4077053Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_inplace_list Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'x.1'. This changes graph semantics.
2022-05-18T04:07:33.4077675Z Warning: ONNX Preprocess - Removing mutation from node aten::fill_ on block input: 'y.1'. This changes graph semantics.
2022-05-18T04:07:33.4538633Z Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'x.1'. This changes graph semantics.
2022-05-18T04:07:33.4539394Z Warning: ONNX Preprocess - Removing mutation from node aten::fill_ on block input: 'y.1'. This changes graph semantics.
2022-05-18T04:07:33.4952945Z PASSED [ 46%]
2022-05-18T04:07:33.4976363Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_inplace_sequence_with_loop SKIPPED [ 46%]
2022-05-18T04:07:33.5545346Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_inplace_with_loop PASSED [ 47%]
2022-05-18T04:07:33.8729702Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_inplace_with_loop_2 PASSED [ 47%]
2022-05-18T04:07:33.8834277Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_inplace_zero Warning: ONNX Preprocess - Removing mutation from node aten::zero_ on block input: 'x.1'. This changes graph semantics.
2022-05-18T04:07:33.9058852Z Warning: ONNX Preprocess - Removing mutation from node aten::zero_ on block input: '0'. This changes graph semantics.
2022-05-18T04:07:33.9340954Z Warning: ONNX Preprocess - Removing mutation from node aten::zero_ on block input: 'x.1'. This changes graph semantics.
2022-05-18T04:07:33.9552229Z Warning: ONNX Preprocess - Removing mutation from node aten::zero_ on block input: '0'. This changes graph semantics.
2022-05-18T04:07:33.9761561Z PASSED [ 47%]
2022-05-18T04:07:34.1913492Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_input_mask_model Warning: ONNX Preprocess - Removing mutation from node aten::index_put_ on block input: 'y.1'. This changes graph semantics.
2022-05-18T04:07:34.2891303Z Warning: ONNX Preprocess - Removing mutation from node aten::index_put_ on block input: '2'. This changes graph semantics.
2022-05-18T04:07:34.3483139Z PASSED [ 47%]
2022-05-18T04:07:34.5606043Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_instancenorm1d_norunningstats PASSED [ 47%]
2022-05-18T04:07:34.7378796Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_instancenorm1d_runningstats PASSED [ 47%]
2022-05-18T04:07:34.9778596Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_instancenorm2d_norunningstats PASSED [ 47%]
2022-05-18T04:07:35.1868254Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_instancenorm2d_runningstats PASSED [ 47%]
2022-05-18T04:07:42.8605505Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_instancenorm3d_norunningstats PASSED [ 48%]
2022-05-18T04:07:50.7844629Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_instancenorm3d_runningstats PASSED [ 48%]
2022-05-18T04:07:51.8604628Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_instancenorm_eval_mode_train_layer PASSED [ 48%]
2022-05-18T04:07:52.6133682Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_instancenorm_training PASSED [ 48%]
2022-05-18T04:07:53.3663322Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_instancenorm_training_mode_fix_layer PASSED [ 48%]
2022-05-18T04:07:53.3800891Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_interpolate_adaptive_pooling_error WARNING: The shape inference of aten::adaptive_avg_pool1d type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:53.3802016Z WARNING: The shape inference of aten::adaptive_avg_pool1d type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:53.3803398Z WARNING: The shape inference of aten::adaptive_avg_pool1d type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:53.3804434Z WARNING: The shape inference of aten::adaptive_avg_pool1d type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:07:53.4319343Z PASSED [ 48%]
2022-05-18T04:07:54.7929318Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_interpolate_downsample PASSED [ 48%]
2022-05-18T04:07:54.9158432Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_interpolate_function_substitution PASSED [ 48%]
2022-05-18T04:07:55.0231003Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_interpolate_no_shape PASSED [ 49%]
2022-05-18T04:07:56.3847913Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_interpolate_upsample PASSED [ 49%]
2022-05-18T04:07:56.3871225Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_interpolate_upsample_trace SKIPPED [ 49%]
2022-05-18T04:07:56.4105611Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_isfinite PASSED [ 49%]
2022-05-18T04:07:56.4320316Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_isinf PASSED [ 49%]
2022-05-18T04:07:56.4527274Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_isnan PASSED [ 49%]
2022-05-18T04:07:56.4794936Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_item PASSED [ 49%]
2022-05-18T04:07:56.4812494Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_keypoint_rcnn SKIPPED [ 49%]
2022-05-18T04:07:57.1432265Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_kldiv_loss PASSED [ 50%]
2022-05-18T04:07:57.1816202Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_l1_norm PASSED [ 50%]
2022-05-18T04:07:57.2192772Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_l2_norm PASSED [ 50%]
2022-05-18T04:08:34.6280332Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_large_model_with_external_data PASSED [ 50%]
2022-05-18T04:08:59.3625448Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_large_model_with_non_str_file PASSED [ 50%]
2022-05-18T04:08:59.4161313Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_layer_norm PASSED [ 50%]
2022-05-18T04:08:59.4993170Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_le PASSED [ 50%]
2022-05-18T04:08:59.5515459Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_le_scalar PASSED [ 50%]
2022-05-18T04:08:59.5772751Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_len PASSED [ 51%]
2022-05-18T04:08:59.6008169Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_len_list PASSED [ 51%]
2022-05-18T04:08:59.6801853Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_linalg_cross PASSED [ 51%]
2022-05-18T04:09:00.2802575Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_linalg_matrix_norm PASSED [ 51%]
2022-05-18T04:09:01.2363550Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_linalg_norm PASSED [ 51%]
2022-05-18T04:09:02.0262459Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_linalg_vector_norm PASSED [ 51%]
2022-05-18T04:09:02.0672062Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_linalg_vector_norm_zero PASSED [ 51%]
2022-05-18T04:09:02.1481142Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_linear PASSED [ 51%]
2022-05-18T04:09:02.1901639Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_linspace PASSED [ 52%]
2022-05-18T04:09:02.2321246Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_linspace_negative_start PASSED [ 52%]
2022-05-18T04:09:02.3135634Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_list PASSED [ 52%]
2022-05-18T04:09:02.3260345Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_list_append Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'res.11'. This changes graph semantics.
2022-05-18T04:09:02.3613322Z PASSED [ 52%]
2022-05-18T04:09:02.4017083Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_list_append_in_block PASSED [ 52%]
2022-05-18T04:09:02.4040259Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_list_append_in_nested_block SKIPPED [ 52%]
2022-05-18T04:09:02.4062102Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_list_append_nested SKIPPED [ 52%]
2022-05-18T04:09:02.4083898Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_list_append_nested_2 SKIPPED [ 52%]
2022-05-18T04:09:02.4105812Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_list_append_nested_mixed_dtype SKIPPED [ 53%]
2022-05-18T04:09:02.4230346Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_list_del Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'res.13'. This changes graph semantics.
2022-05-18T04:09:02.4626141Z PASSED [ 53%]
2022-05-18T04:09:02.4649432Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_list_del_in_block SKIPPED [ 53%]
2022-05-18T04:09:02.4671802Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_list_del_nested SKIPPED [ 53%]
2022-05-18T04:09:02.4693511Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_list_idx_sum SKIPPED [ 53%]
2022-05-18T04:09:03.1552246Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_list_pass PASSED [ 53%]
2022-05-18T04:09:03.1682433Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_list_pop Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'res.13'. This changes graph semantics.
2022-05-18T04:09:03.2073270Z PASSED [ 53%]
2022-05-18T04:09:03.2095590Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_list_pop_in_block SKIPPED [ 53%]
2022-05-18T04:09:03.2118004Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_list_pop_nested SKIPPED [ 54%]
2022-05-18T04:09:03.2570559Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_list_set PASSED [ 54%]
2022-05-18T04:09:03.3003035Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_list_unpack PASSED [ 54%]
2022-05-18T04:09:03.4313441Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_listunpack PASSED [ 54%]
2022-05-18T04:09:03.4524203Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_log PASSED [ 54%]
2022-05-18T04:09:03.4743341Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_log10 PASSED [ 54%]
2022-05-18T04:09:03.4964794Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_log1p PASSED [ 54%]
2022-05-18T04:09:03.5181850Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_logdet PASSED [ 54%]
2022-05-18T04:09:03.6047577Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_logical_and PASSED [ 55%]
2022-05-18T04:09:03.6912316Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_logical_or PASSED [ 55%]
2022-05-18T04:09:03.7771019Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_logical_xor PASSED [ 55%]
2022-05-18T04:09:03.9225541Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_logsoftmax PASSED [ 55%]
2022-05-18T04:09:04.1944615Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_logsoftmax_dim PASSED [ 55%]
2022-05-18T04:09:04.2296455Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_logsoftmax_dtype PASSED [ 55%]
2022-05-18T04:09:04.2942298Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_loop_dynamic PASSED [ 55%]
2022-05-18T04:09:04.3447337Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_loop_multi_dim PASSED [ 55%]
2022-05-18T04:09:04.4569755Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_loop_nested PASSED [ 56%]
2022-05-18T04:09:04.4695466Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_loop_transpose Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'res.11'. This changes graph semantics.
2022-05-18T04:09:04.5086979Z PASSED [ 56%]
2022-05-18T04:09:04.5254869Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_loop_with_list Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'res4.11'. This changes graph semantics.
2022-05-18T04:09:04.5255837Z Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'res2.11'. This changes graph semantics.
2022-05-18T04:09:04.6362664Z PASSED [ 56%]
2022-05-18T04:09:04.7761458Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_lower_tuple PASSED [ 56%]
2022-05-18T04:09:04.7960491Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_lower_tuple_2 PASSED [ 56%]
2022-05-18T04:09:04.9526510Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_lower_tuple_3 PASSED [ 56%]
2022-05-18T04:09:05.1233426Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_lstm WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:05.1319456Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:05.1395233Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:05.1729714Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:05.1784673Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:05.1815950Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:05.1860411Z PASSED [ 56%]
2022-05-18T04:09:05.2328817Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_lstm_cell WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:05.2408929Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:05.2467729Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:05.3554914Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:05.3577027Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:05.3611462Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:05.3623487Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:05.3655371Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:05.3655923Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:05.4319256Z PASSED [ 56%]
2022-05-18T04:09:05.6357562Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_lstm_constant_folding WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:05.6650852Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:05.6826983Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:05.7241003Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:05.7494226Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:05.7639840Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:05.9613163Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:05.9845268Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:05.9990809Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:06.0397940Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:06.0585258Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:06.0691493Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:06.0784382Z PASSED [ 57%]
2022-05-18T04:09:06.2330425Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_lstm_default_init_state WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:06.2417550Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:06.2487625Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:06.3286370Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:06.3341099Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:06.3379256Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:06.3444596Z PASSED [ 57%]
2022-05-18T04:09:06.5031487Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_lstm_fixed_batch_size WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:06.5117306Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:06.5193774Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:06.5988393Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:06.6042346Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:06.6072970Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:06.6127576Z PASSED [ 57%]
2022-05-18T04:09:06.7849560Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_lstm_no_bias WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:06.7900074Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:06.7943036Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:06.7966761Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:06.8027868Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:06.8028669Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:06.8370360Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:06.8415101Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:06.8429711Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:06.8454890Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:06.8463742Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:06.8464243Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:07.0114694Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:07.0140073Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:07.0174035Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:07.0186657Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:07.0243466Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:07.0243970Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:07.0572281Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:07.0595813Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:07.0603455Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:07.0615938Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:07.0621705Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:07.0622201Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:07.2476928Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:07.2527153Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:07.2593172Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:07.2654020Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:07.2678043Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:07.2708242Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:07.2782120Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:07.2782675Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:07.2789154Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:07.3180050Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:07.3226923Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:07.3287488Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:07.3318896Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:07.3345754Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:07.3380185Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:07.3396666Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:07.3397234Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:07.3403687Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:07.5187643Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:07.5212842Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:07.5248395Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:07.5283836Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:07.5336569Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:07.5348982Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:07.5365433Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:07.5382305Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:07.5449332Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:07.5449821Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:07.5455579Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:07.5460670Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:07.5844361Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:07.5868557Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:07.5901420Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:07.5933987Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:07.5958826Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:07.5971897Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:07.5990183Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:07.6008262Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:07.6021122Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:07.6021613Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:07.6027393Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:07.6032440Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:07.6114097Z PASSED [ 57%]
2022-05-18T04:09:07.7955485Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_lstm_no_hidden WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:07.8052885Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:07.8128718Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:07.8948940Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:07.9006963Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:07.9049579Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:07.9121574Z PASSED [ 57%]
2022-05-18T04:09:08.0728739Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_lstm_post_fix_init_state WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:08.0827812Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:08.0909565Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:08.1719705Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:08.1788081Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:08.1823521Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:08.1893436Z PASSED [ 57%]
2022-05-18T04:09:08.3850930Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_lstm_proj_no_hidden WARNING: The shape inference of aten::lstm type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:08.3851970Z WARNING: The shape inference of aten::lstm type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:08.3854366Z WARNING: The shape inference of aten::lstm type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:08.3897155Z WARNING: The shape inference of aten::lstm type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:08.3898245Z WARNING: The shape inference of aten::lstm type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:08.3899105Z WARNING: The shape inference of aten::lstm type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:08.3921170Z PASSED [ 57%]
2022-05-18T04:09:08.7171995Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_lstm_sequence WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:08.7612671Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:08.7825611Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:08.7884022Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:08.8069309Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:08.8078159Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:08.9167579Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:08.9968840Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:09.0140925Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:09.0217042Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:09.0304743Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:09.0315762Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:09.0420584Z PASSED [ 57%]
2022-05-18T04:09:09.0856838Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_lstm_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:09.1594198Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:09.1594732Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:09.1595287Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:09.2487186Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:09.2487777Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:09.3221863Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:09.3222419Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:09.3715225Z PASSED [ 58%]
2022-05-18T04:09:09.4145064Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_lstm_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:09.4145824Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:09.4889089Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:09.5787031Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:09.5787636Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:09.5788164Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:09.6525038Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:09.6525574Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:09.7022448Z PASSED [ 58%]
2022-05-18T04:09:09.7455481Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_lstm_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:09.7456471Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:09.8196471Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:09.8197003Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:09.9095014Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:09.9095569Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:09.9840309Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:09.9840857Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:10.0336964Z PASSED [ 58%]
2022-05-18T04:09:10.0771363Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_lstm_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:10.0772080Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:10.1509171Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:10.2398486Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:10.2399020Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:10.2399541Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:10.3136140Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:10.3136707Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:10.3625626Z PASSED [ 58%]
2022-05-18T04:09:10.4497289Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_lstm_trilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:10.4899706Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:10.5172301Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:10.6171619Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:10.6583091Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:10.6858488Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:10.7014018Z PASSED [ 58%]
2022-05-18T04:09:10.7891351Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_lstm_trilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:10.8293375Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:10.8566925Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:10.9561707Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:10.9969340Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:11.0245707Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:11.0403107Z PASSED [ 58%]
2022-05-18T04:09:11.0836773Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_lstm_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:11.0837482Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:11.1529820Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:11.1530378Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:11.2337299Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:11.2337914Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:11.3030463Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:11.3031360Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:11.3442607Z PASSED [ 58%]
2022-05-18T04:09:11.3870826Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_lstm_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:11.3871530Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:11.4555258Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:11.4555803Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:11.5358933Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:11.5359495Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:11.6046366Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:11.6046896Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:11.6459033Z PASSED [ 58%]
2022-05-18T04:09:11.6887117Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_lstm_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:11.6887901Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:11.7571295Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:11.7571821Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:11.8366950Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:11.8367494Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:11.9056565Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:11.9057092Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:11.9460490Z PASSED [ 59%]
2022-05-18T04:09:11.9883017Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_lstm_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:11.9883920Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:12.0571351Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:12.0572007Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:12.1385201Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:12.2077496Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:12.2078070Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:12.2078589Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:12.2483814Z PASSED [ 59%]
2022-05-18T04:09:12.2894128Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_lstm_trilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:12.3288408Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:12.3531807Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:12.4010899Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:12.4406175Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:12.4649006Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:12.4753624Z PASSED [ 59%]
2022-05-18T04:09:12.5160572Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_lstm_trilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:12.5555252Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:12.5797535Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:12.6277347Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:12.6673976Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:12.6918836Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:12.7023519Z PASSED [ 59%]
2022-05-18T04:09:12.7401417Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_lstm_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:12.7402118Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:12.7945355Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:12.7945963Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:12.8611520Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:12.8612055Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:12.9161864Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:12.9162383Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:12.9485126Z PASSED [ 59%]
2022-05-18T04:09:12.9867707Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_lstm_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:12.9868500Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:13.0418119Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:13.0418659Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:13.1106952Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:13.1107495Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:13.1660885Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:13.1661750Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:13.1989518Z PASSED [ 59%]
2022-05-18T04:09:13.2369793Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_lstm_trilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:13.2370576Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:13.2916530Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:13.2917311Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:13.3580536Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:13.3581063Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:13.4125641Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:13.4126231Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:13.4439701Z PASSED [ 59%]
2022-05-18T04:09:13.4817189Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_lstm_trilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:13.4817910Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:13.5361651Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:13.5362424Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:13.6025754Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:13.6026422Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:13.6571633Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:13.6572326Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:13.6888874Z PASSED [ 59%]
2022-05-18T04:09:13.7705842Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_lstm_trilayer_forward_no_initial_state_without_sequence_lengths_with_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:13.7904351Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:13.8040688Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:13.8965572Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:13.9165222Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:13.9301903Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:13.9443276Z PASSED [ 60%]
2022-05-18T04:09:14.0260058Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_lstm_trilayer_forward_no_initial_state_without_sequence_lengths_without_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:14.0460566Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:14.0597921Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:14.1528049Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:14.1729153Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:14.1868267Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:14.2012096Z PASSED [ 60%]
2022-05-18T04:09:14.2392792Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_lstm_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:14.2393511Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:14.2894744Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:14.2895281Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:14.3483955Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:14.3484853Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:14.3982758Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:14.3983284Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:14.4227636Z PASSED [ 60%]
2022-05-18T04:09:14.4605616Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_lstm_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:14.4606550Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:14.5103322Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:14.5104119Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:14.5684035Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:14.5684689Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:14.6180535Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:14.6181317Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:14.6413286Z PASSED [ 60%]
2022-05-18T04:09:14.6791139Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_lstm_trilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:14.6791850Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:14.7288321Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:14.7288942Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:14.7853313Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:14.7853971Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:14.8354243Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:14.8355003Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:14.8582065Z PASSED [ 60%]
2022-05-18T04:09:14.8955289Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_lstm_trilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:14.8955996Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:14.9453879Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:14.9454850Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:15.0020649Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:15.0517180Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:15.0517959Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:15.0518487Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:15.0743301Z PASSED [ 60%]
2022-05-18T04:09:15.1100538Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_lstm_trilayer_forward_with_initial_state_without_sequence_lengths_with_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:15.1298062Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:15.1407210Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:15.1825728Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:15.2023239Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:15.2132508Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:15.2218205Z PASSED [ 60%]
2022-05-18T04:09:15.2576984Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_lstm_trilayer_forward_with_initial_state_without_sequence_lengths_without_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:15.2775107Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:15.2885873Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:15.3303221Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:15.3498959Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:15.3607382Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:15.3691852Z PASSED [ 60%]
2022-05-18T04:09:15.4055975Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_lstm_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:15.4056682Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:15.4529318Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:15.4529923Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:15.5024445Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:15.5024987Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:15.5493659Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:15.5494241Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:15.5661837Z PASSED [ 60%]
2022-05-18T04:09:15.6023722Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_lstm_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:15.6024437Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:15.6493447Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:15.6493977Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:15.6998788Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:15.6999600Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:15.7474053Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:15.7474789Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:15.7642723Z PASSED [ 61%]
2022-05-18T04:09:15.8006366Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_lstm_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:15.8007318Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:15.8479720Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:15.8480245Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:15.8973812Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:15.8974354Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:15.9444003Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:15.9444525Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:15.9607338Z PASSED [ 61%]
2022-05-18T04:09:15.9967012Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_lstm_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:15.9967733Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:16.0435808Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:16.0436395Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:16.0925792Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:16.0926357Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:16.1396132Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:16.1396673Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:16.1557706Z PASSED [ 61%]
2022-05-18T04:09:16.2351187Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_lstm_unilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:16.2466616Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:16.2538243Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:16.3368111Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:16.3484104Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:16.3556947Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:16.3624405Z PASSED [ 61%]
2022-05-18T04:09:16.4421142Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_lstm_unilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:16.4534725Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:16.4606864Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:16.5435371Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:16.5549753Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:16.5620989Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:16.5685340Z PASSED [ 61%]
2022-05-18T04:09:16.6038481Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_lstm_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:16.6039173Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:16.6461226Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:16.6461973Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:16.6920828Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:16.6921371Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:16.7343121Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:16.7343660Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:16.7479120Z PASSED [ 61%]
2022-05-18T04:09:16.7835797Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_lstm_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:16.7836517Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:16.8262242Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:16.8262761Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:16.8727871Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:16.8728409Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:16.9150729Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:16.9151260Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:16.9286657Z PASSED [ 61%]
2022-05-18T04:09:16.9642905Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_lstm_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:16.9643614Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:17.0064898Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:17.0065423Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:17.0516707Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:17.0517239Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:17.0938241Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:17.0938886Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:17.1066629Z PASSED [ 61%]
2022-05-18T04:09:17.1418817Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_lstm_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:17.1419538Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:17.1839472Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:17.1839996Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:17.2287827Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:17.2288362Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:17.2711273Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:17.2711799Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:17.2840202Z PASSED [ 62%]
2022-05-18T04:09:17.3179410Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_lstm_unilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:17.3292787Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:17.3356659Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:17.3707311Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:17.3822323Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:17.3885506Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:17.3930063Z PASSED [ 62%]
2022-05-18T04:09:17.4271272Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_lstm_unilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:17.4387483Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:17.4451551Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:17.4805654Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:17.4919786Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:17.4983629Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:17.5027163Z PASSED [ 62%]
2022-05-18T04:09:17.5370468Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_lstm_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:17.5371191Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:17.5783506Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:17.5784045Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:17.6220025Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:17.6220708Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:17.6633178Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:17.6633789Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:17.6755487Z PASSED [ 62%]
2022-05-18T04:09:17.7100179Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_lstm_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:17.7100884Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:17.7513135Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:17.7513847Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:17.7948537Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:17.7949179Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:17.8361254Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:17.8361791Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:17.8482013Z PASSED [ 62%]
2022-05-18T04:09:17.8825268Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_lstm_unilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:17.8825959Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:17.9239858Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:17.9240394Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:17.9668632Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:17.9669183Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:18.0082438Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:18.0082979Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:18.0205901Z PASSED [ 62%]
2022-05-18T04:09:18.0551423Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_lstm_unilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:18.0552119Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:18.0965854Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:18.0966383Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:18.1397013Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:18.1397589Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:18.1812867Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:18.1813452Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:18.1932162Z PASSED [ 62%]
2022-05-18T04:09:18.2711215Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_lstm_unilayer_forward_no_initial_state_without_sequence_lengths_with_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:18.2769031Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:18.2808586Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:18.3618823Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:18.3675278Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:18.3714280Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:18.3776036Z PASSED [ 62%]
2022-05-18T04:09:18.4549495Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_lstm_unilayer_forward_no_initial_state_without_sequence_lengths_without_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:18.4606956Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:18.4646827Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:18.5458760Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:18.5514873Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:18.5553811Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:18.5615478Z PASSED [ 63%]
2022-05-18T04:09:18.5953154Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_lstm_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:18.5954142Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:18.6320142Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:18.6320673Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:18.6715632Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:18.6716164Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:18.7083536Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:18.7084075Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:18.7174270Z PASSED [ 63%]
2022-05-18T04:09:18.7510896Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_lstm_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:18.7511626Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:18.7879355Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:18.7879917Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:18.8274135Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:18.8274669Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:18.8640141Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:18.8640727Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:18.8728289Z PASSED [ 63%]
2022-05-18T04:09:18.9066056Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_lstm_unilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:18.9066863Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:18.9433010Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:18.9433599Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:18.9823764Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:18.9824306Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:19.0190827Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:19.0191534Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:19.0276118Z PASSED [ 63%]
2022-05-18T04:09:19.0610688Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_lstm_unilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:19.0611468Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:19.0977491Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:19.0978031Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:19.1366470Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:19.1366985Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:19.1734141Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:19.1734829Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:19.1819977Z PASSED [ 63%]
2022-05-18T04:09:19.2141974Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_lstm_unilayer_forward_with_initial_state_without_sequence_lengths_with_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:19.2197000Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:19.2228047Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:19.2559453Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:19.2614189Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:19.2645239Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:19.2684003Z PASSED [ 63%]
2022-05-18T04:09:19.3004748Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_lstm_unilayer_forward_with_initial_state_without_sequence_lengths_without_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:19.3059533Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:19.3090792Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:19.3421943Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:19.3476914Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:19.3514225Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:19.3551939Z PASSED [ 63%]
2022-05-18T04:09:19.4350472Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_lt PASSED [ 63%]
2022-05-18T04:09:19.4860560Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_lt_scalar PASSED [ 64%]
2022-05-18T04:09:38.5062769Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_mask_rcnn WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:38.5317086Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:45.5867956Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:45.6168805Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:52.8547597Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:09:55.1399584Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:55.9041988Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:55.9056868Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:56.1880247Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:56.1895329Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:56.3713395Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:56.3775277Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:09:56.5110088Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:56.8343784Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:56.8347483Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:57.0815241Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:57.0818111Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:57.2372760Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:09:57.2399992Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:10:17.8277955Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:10:17.8532973Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:10:24.8711121Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:10:24.9013335Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:10:32.1783292Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:10:34.4539970Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:10:35.1728094Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:10:35.1744063Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:10:35.4931762Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:10:35.4946184Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:10:35.6659065Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:10:35.6717108Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:10:35.8050233Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:10:36.1087308Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:10:36.1090716Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:10:36.3966970Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:10:36.3970265Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:10:36.5431228Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:10:36.5455994Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:10:57.1676767Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:10:57.1933294Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:04.2303583Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:04.2600630Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:11.4953420Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:11:13.7924115Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:14.5101865Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:14.5115304Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:14.8299605Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:14.8313457Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:15.0015308Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:15.0073360Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:11:15.1412139Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:15.4454307Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:15.4457717Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:15.7314939Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:15.7317882Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:15.8780404Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:15.8805335Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:11:38.9122299Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:38.9377600Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:45.9609235Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:45.9909361Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:53.2222017Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:11:55.5026981Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:56.2248528Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:56.2263471Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:56.5453160Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:56.5468359Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:56.7179644Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:56.7238351Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:11:56.8563647Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:57.1635211Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:57.1638810Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:57.4492535Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:57.4496541Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:57.5948134Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:11:57.5973485Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:12:01.3991664Z PASSED [ 64%]
2022-05-18T04:12:01.4736857Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_masked_fill PASSED [ 64%]
2022-05-18T04:12:01.4828123Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_masked_fill_inplace Warning: ONNX Preprocess - Removing mutation from node aten::masked_fill_ on block input: 'x.1'. This changes graph semantics.
2022-05-18T04:12:01.5048909Z Warning: ONNX Preprocess - Removing mutation from node aten::masked_fill_ on block input: 'x.1'. This changes graph semantics.
2022-05-18T04:12:01.5237978Z PASSED [ 64%]
2022-05-18T04:12:01.5734770Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_masked_scatter PASSED [ 64%]
2022-05-18T04:12:01.6088998Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_masked_select PASSED [ 64%]
2022-05-18T04:12:01.6497895Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_matmul PASSED [ 64%]
2022-05-18T04:12:01.6912145Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_matmul_batch PASSED [ 64%]
2022-05-18T04:12:01.7525691Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_max_int PASSED [ 65%]
2022-05-18T04:12:01.7741843Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_max_tensors PASSED [ 65%]
2022-05-18T04:12:01.8016289Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_maximum_minimum PASSED [ 65%]
2022-05-18T04:12:01.8521089Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_maxpool PASSED [ 65%]
2022-05-18T04:12:01.8997883Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_maxpool_1d_ceil PASSED [ 65%]
2022-05-18T04:12:01.9498028Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_maxpool_2d PASSED [ 65%]
2022-05-18T04:12:02.0089180Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_maxpool_2d_ceil PASSED [ 65%]
2022-05-18T04:12:02.6764257Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_maxpool_3d_ceil PASSED [ 65%]
2022-05-18T04:12:02.7128348Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_maxpool_adaptive PASSED [ 66%]
2022-05-18T04:12:02.7637312Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_maxpool_default_stride PASSED [ 66%]
2022-05-18T04:12:02.8091990Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_maxpool_dilation PASSED [ 66%]
2022-05-18T04:12:02.8652664Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_maxpool_with_indices PASSED [ 66%]
2022-05-18T04:12:02.9105627Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_meshgrid PASSED [ 66%]
2022-05-18T04:12:02.9554047Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_meshgrid_scalar PASSED [ 66%]
2022-05-18T04:12:03.0174364Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_min_int PASSED [ 66%]
2022-05-18T04:12:03.0979181Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_minimum_dtypes PASSED [ 66%]
2022-05-18T04:12:03.1272251Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_mish PASSED [ 67%]
2022-05-18T04:12:03.1295749Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_mixed_optional SKIPPED [ 67%]
2022-05-18T04:12:03.1316886Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_mixed_optional_default_none SKIPPED [ 67%]
2022-05-18T04:12:03.1338141Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_mixed_optional_default_tensor SKIPPED [ 67%]
2022-05-18T04:12:03.1358814Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_mixed_optional_default_tensor_script SKIPPED [ 67%]
2022-05-18T04:12:08.0564301Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_mobilenet_v3 PASSED [ 67%]
2022-05-18T04:12:08.0583037Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_mobilenet_v3_quant SKIPPED [ 67%]
2022-05-18T04:12:08.2763533Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_mod_with_low_precision PASSED [ 67%]
2022-05-18T04:12:08.8147219Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_multi_scale_roi_align PASSED [ 68%]
2022-05-18T04:12:08.8866916Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_multinomial PASSED [ 68%]
2022-05-18T04:12:09.1741242Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_multiple_conv_bn Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'bn.num_batches_tracked'. This changes graph semantics.
2022-05-18T04:12:09.1742479Z Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'bn2.num_batches_tracked'. This changes graph semantics.
2022-05-18T04:12:09.6526359Z PASSED [ 68%]
2022-05-18T04:12:09.6552815Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_multiple_dynamic_repeat_interleave SKIPPED [ 68%]
2022-05-18T04:12:09.6976598Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_mv PASSED [ 68%]
2022-05-18T04:12:09.8585780Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_nan_to_num PASSED [ 68%]
2022-05-18T04:12:09.8949360Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_narrow PASSED [ 68%]
2022-05-18T04:12:09.9507221Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_narrow_dynamic PASSED [ 68%]
2022-05-18T04:12:10.0281880Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_nested_tuple_input PASSED [ 69%]
2022-05-18T04:12:10.0492800Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_nested_tuple_output PASSED [ 69%]
2022-05-18T04:12:10.2876459Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_new_empty PASSED [ 69%]
2022-05-18T04:12:10.4798514Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_new_full PASSED [ 69%]
2022-05-18T04:12:10.6458728Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_new_ones PASSED [ 69%]
2022-05-18T04:12:10.8109797Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_new_zeros PASSED [ 69%]
2022-05-18T04:12:10.8944200Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_nllloss PASSED [ 69%]
2022-05-18T04:12:11.0082880Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_nllloss_2d_mean PASSED [ 69%]
2022-05-18T04:12:11.1158336Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_nllloss_2d_mean_ignore_index PASSED [ 70%]
2022-05-18T04:12:11.2219390Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_nllloss_2d_mean_ignore_index_weights PASSED [ 70%]
2022-05-18T04:12:11.3297296Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_nllloss_2d_mean_weights PASSED [ 70%]
2022-05-18T04:12:11.4401913Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_nllloss_2d_none PASSED [ 70%]
2022-05-18T04:12:11.5516987Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_nllloss_2d_sum PASSED [ 70%]
2022-05-18T04:12:11.6718610Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_nllloss_dynamic_ignore_index PASSED [ 70%]
2022-05-18T04:12:11.7060448Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_nms PASSED [ 70%]
2022-05-18T04:12:11.7193079Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_nonzero PASSED [ 70%]
2022-05-18T04:12:11.7501930Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_normalize WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:12:11.7554695Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:12:11.7568163Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:12:11.7765792Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:12:11.7818933Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:12:11.7824729Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:12:11.7857792Z PASSED [ 71%]
2022-05-18T04:12:11.8156163Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_numel PASSED [ 71%]
2022-05-18T04:12:11.8439423Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_numel_empty PASSED [ 71%]
2022-05-18T04:12:11.9293405Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_one_hot PASSED [ 71%]
2022-05-18T04:12:12.0142741Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_ones_bool PASSED [ 71%]
2022-05-18T04:12:12.0243149Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_onnx_checker_invalid_graph PASSED [ 71%]
2022-05-18T04:12:12.0341836Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_onnx_proto_checker PASSED [ 71%]
2022-05-18T04:12:12.1172313Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_outer PASSED [ 71%]
2022-05-18T04:12:12.1398516Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_pad_int Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:12:12.1407245Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:12:12.1414734Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:12:12.1425391Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:12:12.1430375Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:12:12.1596207Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:12:12.1604251Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:12:12.1611641Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:12:12.1616999Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:12:12.1621837Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:12:12.1663535Z PASSED [ 72%]
2022-05-18T04:12:12.1870736Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_pad_types WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:12:12.1887268Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:12:12.2074405Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:12:12.2088109Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:12:12.2322458Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:12:12.2337700Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:12:12.2529510Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:12:12.2542748Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:12:12.2602633Z PASSED [ 72%]
2022-05-18T04:12:12.2998990Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_pairwise_distance PASSED [ 72%]
2022-05-18T04:12:12.4769298Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_paste_mask_in_image PASSED [ 72%]
2022-05-18T04:12:12.5309795Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_pixel_shuffle PASSED [ 72%]
2022-05-18T04:12:12.5906759Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_pixel_unshuffle PASSED [ 72%]
2022-05-18T04:12:12.7801958Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_pow PASSED [ 72%]
2022-05-18T04:12:12.8062221Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_prelu PASSED [ 72%]
2022-05-18T04:12:12.8263209Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_prelu_scalar PASSED [ 73%]
2022-05-18T04:12:12.9529925Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_prim_min PASSED [ 73%]
2022-05-18T04:12:12.9678926Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_primitive_input_bool PASSED [ 73%]
2022-05-18T04:12:12.9925469Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_primitive_input_floating PASSED [ 73%]
2022-05-18T04:12:13.0199356Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_primitive_input_integer PASSED [ 73%]
2022-05-18T04:12:13.0222553Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_qat_conv2d SKIPPED [ 73%]
2022-05-18T04:12:13.0244749Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_qat_conv2d_relu SKIPPED [ 73%]
2022-05-18T04:12:13.0266868Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_qat_conv2d_relu_fused SKIPPED [ 73%]
2022-05-18T04:12:13.0288910Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_qat_linear_per_channel SKIPPED [ 74%]
2022-05-18T04:12:13.1187968Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_qat_maxpool2d WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:12:13.1219322Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:12:13.1451078Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:12:13.1603111Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:12:13.1687249Z PASSED [ 74%]
2022-05-18T04:12:13.1711986Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_qat_relu SKIPPED [ 74%]
2022-05-18T04:12:13.1974236Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_quantize_per_tensor WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:12:13.2001549Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:12:13.2174317Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:12:13.2275454Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:12:13.2322228Z PASSED [ 74%]
2022-05-18T04:12:13.2495694Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_quantized_adaptive_avg_pool2d WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:12:13.2721383Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:12:13.2772552Z PASSED [ 74%]
2022-05-18T04:12:13.3018809Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_quantized_arithmetic WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:12:13.3053430Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:12:13.3350905Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:12:13.3386437Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:12:13.3466884Z PASSED [ 74%]
2022-05-18T04:12:13.3716860Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_quantized_arithmetic_qfunctional WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:12:13.3752557Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:12:13.3837209Z PASSED [ 74%]
2022-05-18T04:12:13.4539462Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_quantized_conv2d WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:12:13.4550871Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:12:13.5422022Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:12:13.5433297Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:12:13.5536116Z PASSED [ 74%]
2022-05-18T04:12:13.6201408Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_quantized_conv2d_relu WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:12:13.6214412Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:12:13.7078595Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:12:13.7091526Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:12:13.7197823Z PASSED [ 75%]
2022-05-18T04:12:13.7409553Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_quantized_flatten WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:12:13.7655856Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:12:13.7719428Z PASSED [ 75%]
2022-05-18T04:12:13.7849909Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_quantized_hardsigmoid WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:12:13.8028576Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:12:13.8081222Z PASSED [ 75%]
2022-05-18T04:12:13.8305155Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_quantized_hardswish WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:12:13.8545619Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:12:13.8601177Z PASSED [ 75%]
2022-05-18T04:12:13.9082896Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_quantized_linear WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:12:13.9095017Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:12:13.9707634Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:12:13.9720305Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:12:13.9809488Z PASSED [ 75%]
2022-05-18T04:12:14.1119764Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_random PASSED [ 75%]
2022-05-18T04:12:14.2554660Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_random_dynamic_size PASSED [ 75%]
2022-05-18T04:12:14.4054058Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_random_like PASSED [ 75%]
2022-05-18T04:12:14.6049347Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_random_like_dtype PASSED [ 76%]
2022-05-18T04:12:14.6619112Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_reciprocal PASSED [ 76%]
2022-05-18T04:12:14.7181129Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_reduce_log_sum_exp PASSED [ 76%]
2022-05-18T04:12:14.7871461Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_reduced_mean PASSED [ 76%]
2022-05-18T04:12:14.9173063Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_reduced_min_max PASSED [ 76%]
2022-05-18T04:12:15.1198109Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_reduced_prod PASSED [ 76%]
2022-05-18T04:12:15.3863875Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_reduced_sum PASSED [ 76%]
2022-05-18T04:12:15.4483879Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_reduced_sum_dtypes PASSED [ 76%]
2022-05-18T04:12:15.4682148Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_reflection_pad Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:12:15.4699298Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:12:15.4715073Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:12:15.4879414Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:12:15.4896135Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:12:15.4905193Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:12:15.5118895Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:12:15.5135198Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:12:15.5151311Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:12:15.5315434Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:12:15.5331445Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:12:15.5342072Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:12:15.5383563Z PASSED [ 77%]
2022-05-18T04:12:15.5756381Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_relu6 PASSED [ 77%]
2022-05-18T04:12:15.5954481Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_relu_int PASSED [ 77%]
2022-05-18T04:12:15.6986970Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_remainder PASSED [ 77%]
2022-05-18T04:12:15.7483108Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_remainder_scalar PASSED [ 77%]
2022-05-18T04:12:15.8170209Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_repeat PASSED [ 77%]
2022-05-18T04:12:16.1112044Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_repeat_interleave PASSED [ 77%]
2022-05-18T04:12:16.1611089Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_repeat_interleave_noop PASSED [ 77%]
2022-05-18T04:12:16.1808134Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_replication_pad Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:12:16.1825585Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:12:16.1842055Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:12:16.2006109Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:12:16.2023749Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:12:16.2033912Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:12:16.2249080Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:12:16.2266145Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:12:16.2281788Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:12:16.2446574Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:12:16.2463230Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:12:16.2473590Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:12:16.2516231Z PASSED [ 78%]
2022-05-18T04:12:16.2534905Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_reshape_allowzero SKIPPED [ 78%]
2022-05-18T04:12:16.2849811Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_reshape_constant_fold PASSED [ 78%]
2022-05-18T04:12:16.3126095Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_reshape_different_rank PASSED [ 78%]
2022-05-18T04:12:16.7017780Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_resize_images PASSED [ 78%]
2022-05-18T04:12:16.7312966Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_rnn_no_bias WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:12:16.7315728Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:12:16.7320850Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:12:16.7321910Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:12:16.7327440Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:12:16.7328794Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:12:16.7614946Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:12:16.7618477Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:12:16.7627129Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:12:16.7636819Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:12:16.7649768Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:12:16.7651180Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:12:16.7656382Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:12:16.7660750Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:12:16.7668267Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:12:16.7669250Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:12:16.7672290Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:12:16.7675756Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:12:16.8000016Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:12:16.8000920Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:12:16.8169772Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:12:16.8299854Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:12:16.8300754Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:12:16.8306171Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:12:16.8310985Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:12:16.8630293Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:12:16.8631177Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:12:16.8800507Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:12:16.8809461Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:12:16.8819210Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:12:16.8958159Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:12:16.8958698Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:12:16.8966334Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:12:16.8970249Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:12:16.8974126Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:12:16.8982283Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:12:16.8985390Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:12:16.8988474Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:12:16.9322993Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:12:16.9323612Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:12:16.9491777Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:12:16.9621539Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:12:16.9622089Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:12:16.9628128Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:12:16.9633718Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:12:16.9962804Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:12:16.9963351Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:12:17.0132517Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:12:17.0141416Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:12:17.0150489Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:12:17.0286306Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:12:17.0286830Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:12:17.0296012Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:12:17.0300277Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:12:17.0304733Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:12:17.0313661Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:12:17.0317247Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:12:17.0320595Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:12:17.0388825Z PASSED [ 78%]
2022-05-18T04:12:17.0981018Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_roi_align PASSED [ 78%]
2022-05-18T04:12:17.2922144Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_roi_align_aligned PASSED [ 78%]
2022-05-18T04:12:21.3221448Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_roi_heads WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:12:21.3341088Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:12:25.8355432Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:12:25.8522553Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:12:29.0160723Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:12:29.0161844Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:12:29.1712506Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:12:29.1713670Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:12:29.2628236Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:12:29.2629541Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:12:29.4495869Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:12:29.4496975Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:12:32.6038013Z PASSED [ 79%]
2022-05-18T04:12:32.6459465Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_roi_pool PASSED [ 79%]
2022-05-18T04:12:32.7872282Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_roll PASSED [ 79%]
2022-05-18T04:12:32.8085450Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_round PASSED [ 79%]
2022-05-18T04:12:35.8405384Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_rpn WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:12:35.8522499Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:12:38.0432513Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:12:38.0433670Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:12:38.1204559Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:12:38.1205114Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:12:38.4408123Z PASSED [ 79%]
2022-05-18T04:12:38.4649080Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_rsqrt PASSED [ 79%]
2022-05-18T04:12:38.4876199Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_rsqrt_zeros PASSED [ 79%]
2022-05-18T04:12:38.5650503Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_scalar_tensor PASSED [ 79%]
2022-05-18T04:12:38.9505140Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_scalar_type PASSED [ 80%]
2022-05-18T04:12:39.0528134Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_scatter PASSED [ 80%]
2022-05-18T04:12:39.0930242Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_scatter_add Warning: ONNX Preprocess - Removing mutation from node aten::scatter_add_ on block input: 'src.1'. This changes graph semantics.
2022-05-18T04:12:39.0931372Z Warning: ONNX Preprocess - Removing mutation from node aten::scatter_add_ on block input: 'index.1'. This changes graph semantics.
2022-05-18T04:12:39.1227868Z Warning: ONNX Preprocess - Removing mutation from node aten::scatter_add_ on block input: '0'. This changes graph semantics.
2022-05-18T04:12:39.1228806Z Warning: ONNX Preprocess - Removing mutation from node aten::scatter_add_ on block input: '1'. This changes graph semantics.
2022-05-18T04:12:39.1500262Z PASSED [ 80%]
2022-05-18T04:12:39.1852761Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_scatter_with_scalar PASSED [ 80%]
2022-05-18T04:12:39.2204101Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_scatter_with_scalar_different_types PASSED [ 80%]
2022-05-18T04:12:39.2441774Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_script_custom_class_error PASSED [ 80%]
2022-05-18T04:12:39.2934707Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_select PASSED [ 80%]
2022-05-18T04:12:39.3449419Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_select_negative_index PASSED [ 80%]
2022-05-18T04:12:39.3473387Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_sequance_loopcarried SKIPPED [ 80%]
2022-05-18T04:12:39.3496114Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_sequence_to_bool SKIPPED [ 81%]
2022-05-18T04:12:39.3518725Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_sequence_to_float SKIPPED [ 81%]
2022-05-18T04:12:39.3540973Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_sequence_to_int SKIPPED [ 81%]
2022-05-18T04:12:39.4029059Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_set_ PASSED [ 81%]
2022-05-18T04:12:39.4629958Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_set_attr PASSED [ 81%]
2022-05-18T04:12:39.5240161Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_set_attr_2 PASSED [ 81%]
2022-05-18T04:12:39.6419460Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_set_attr_3 PASSED [ 81%]
2022-05-18T04:12:39.7343837Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_set_attr_4 PASSED [ 81%]
2022-05-18T04:12:40.1444213Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_set_attr_5 PASSED [ 82%]
2022-05-18T04:12:40.5354121Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_set_attr_in_loop PASSED [ 82%]
2022-05-18T04:12:40.5377429Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_set_attr_in_loop_with_list SKIPPED [ 82%]
2022-05-18T04:12:40.8445352Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_set_attr_modules PASSED [ 82%]
2022-05-18T04:12:41.1283082Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_set_attr_modules_2 PASSED [ 82%]
2022-05-18T04:12:41.1683928Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_shape_constant_fold PASSED [ 82%]
2022-05-18T04:12:41.2189524Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_shape_value_map PASSED [ 82%]
2022-05-18T04:12:48.4186099Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_shufflenet_v2_dynamic_axes PASSED [ 82%]
2022-05-18T04:12:48.4477504Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_silu PASSED [ 83%]
2022-05-18T04:12:48.6753995Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_size PASSED [ 83%]
2022-05-18T04:12:48.9107633Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_slice_dynamic PASSED [ 83%]
2022-05-18T04:12:48.9337701Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_slice_dynamic_script PASSED [ 83%]
2022-05-18T04:12:49.0570604Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_slice_dynamic_shape_script PASSED [ 83%]
2022-05-18T04:12:49.2498370Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_slice_dynamic_to_end PASSED [ 83%]
2022-05-18T04:12:49.2939301Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_slice_neg PASSED [ 83%]
2022-05-18T04:12:49.4068275Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_slice_neg_large PASSED [ 83%]
2022-05-18T04:12:49.5147177Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_slice_neg_large_negone PASSED [ 84%]
2022-05-18T04:12:49.5536219Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_slice_trace PASSED [ 84%]
2022-05-18T04:12:49.8074146Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_slice_with_input_index PASSED [ 84%]
2022-05-18T04:12:50.2072717Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_softmax PASSED [ 84%]
2022-05-18T04:12:50.3713008Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_softmax_large_values PASSED [ 84%]
2022-05-18T04:12:50.4667448Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_softplus PASSED [ 84%]
2022-05-18T04:12:50.5509032Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_softshrink PASSED [ 84%]
2022-05-18T04:12:50.5926008Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_sort PASSED [ 84%]
2022-05-18T04:12:50.6344494Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_sort_ascending PASSED [ 85%]
2022-05-18T04:12:50.6665836Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_spectral_norm PASSED [ 85%]
2022-05-18T04:12:50.7211956Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_split PASSED [ 85%]
2022-05-18T04:12:50.7686642Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_split_dynamic PASSED [ 85%]
2022-05-18T04:12:50.8020825Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_split_dynamic_axes PASSED [ 85%]
2022-05-18T04:12:50.9355667Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_split_script PASSED [ 85%]
2022-05-18T04:12:50.9600958Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_split_size_as_list PASSED [ 85%]
2022-05-18T04:12:51.0702606Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_split_size_with_slice PASSED [ 85%]
2022-05-18T04:12:51.0723494Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_split_tensor_multi PASSED [ 86%]
2022-05-18T04:12:51.1072592Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_split_tensor_scalar PASSED [ 86%]
2022-05-18T04:12:51.1275889Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_square PASSED [ 86%]
2022-05-18T04:12:51.1531786Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_squeeze PASSED [ 86%]
2022-05-18T04:12:51.1727936Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_squeeze_all_dims PASSED [ 86%]
2022-05-18T04:12:51.2025542Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_squeeze_dynamic PASSED [ 86%]
2022-05-18T04:12:51.2047450Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_squeeze_dynamic_dim SKIPPED [ 86%]
2022-05-18T04:12:51.2347492Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_squeeze_neg PASSED [ 86%]
2022-05-18T04:12:51.2591536Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_squeeze_neg_without_no_op PASSED [ 87%]
2022-05-18T04:12:51.2890183Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_squeeze_no_op PASSED [ 87%]
2022-05-18T04:12:51.4433770Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_squeeze_runtime_dim PASSED [ 87%]
2022-05-18T04:12:51.4680858Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_squeeze_without_no_op PASSED [ 87%]
2022-05-18T04:12:51.5038531Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_stack PASSED [ 87%]
2022-05-18T04:12:51.5265619Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_stack_dynamic PASSED [ 87%]
2022-05-18T04:12:51.5868550Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_std PASSED [ 87%]
2022-05-18T04:12:51.6660739Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_std_along_dims PASSED [ 87%]
2022-05-18T04:12:51.7109617Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_std_correction PASSED [ 88%]
2022-05-18T04:12:51.7899969Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_std_keepdim PASSED [ 88%]
2022-05-18T04:12:51.8487778Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_std_mean PASSED [ 88%]
2022-05-18T04:12:51.9324447Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_std_mean_along_dims PASSED [ 88%]
2022-05-18T04:12:51.9779428Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_std_mean_correction PASSED [ 88%]
2022-05-18T04:12:52.0587944Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_std_mean_keepdim PASSED [ 88%]
2022-05-18T04:12:52.0848941Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_sum PASSED [ 88%]
2022-05-18T04:12:52.2465781Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_sum_empty_tensor PASSED [ 88%]
2022-05-18T04:12:52.5303400Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_symbolic_shape_inference PASSED [ 89%]
2022-05-18T04:12:52.9078064Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_symbolic_shape_inference_arange PASSED [ 89%]
2022-05-18T04:12:53.1381505Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_symbolic_shape_inference_arange_2 PASSED [ 89%]
2022-05-18T04:12:53.5404359Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_symbolic_shape_inference_box PASSED [ 89%]
2022-05-18T04:12:53.6128209Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_symbolic_shape_inference_box_if PASSED [ 89%]
2022-05-18T04:12:53.6744289Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_symbolic_shape_inference_dynamic_axes PASSED [ 89%]
2022-05-18T04:12:53.7106638Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_symbolic_shape_inference_expand_1 PASSED [ 89%]
2022-05-18T04:12:53.9057806Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_symbolic_shape_inference_expand_2 PASSED [ 89%]
2022-05-18T04:12:54.2822794Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_symbolic_shape_inference_nonzero PASSED [ 90%]
2022-05-18T04:12:54.4257199Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_symbolic_shape_inference_slice PASSED [ 90%]
2022-05-18T04:12:54.5310919Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_symbolic_shape_inference_slice_2 PASSED [ 90%]
2022-05-18T04:12:54.5626721Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_symbolic_shape_inference_time WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:12:54.5680322Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:12:54.5710591Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:12:54.5992515Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:12:54.6014712Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:12:54.6021746Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:12:54.6033587Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:12:54.6038782Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:12:54.6039284Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:12:54.6312913Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:12:54.6315050Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:12:54.6319863Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:12:54.6321337Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:12:54.6325347Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:12:54.6325925Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:12:54.6361624Z PASSED [ 90%]
2022-05-18T04:12:54.6613349Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_take PASSED [ 90%]
2022-05-18T04:12:54.6955303Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_tanh_gelu PASSED [ 90%]
2022-05-18T04:12:54.7599647Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_tanhshrink PASSED [ 90%]
2022-05-18T04:12:54.9732087Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_tensor PASSED [ 90%]
2022-05-18T04:12:55.1783562Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_tensor_factories PASSED [ 91%]
2022-05-18T04:12:55.2343483Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_tensor_factories_script PASSED [ 91%]
2022-05-18T04:12:55.5731762Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_tensor_index_advanced_indexing PASSED [ 91%]
2022-05-18T04:12:55.6646785Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_tensor_index_advanced_indexing_consecutive PASSED [ 91%]
2022-05-18T04:12:55.6947488Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_tensor_index_advanced_indexing_ellipsis PASSED [ 91%]
2022-05-18T04:12:55.7552723Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_tensor_like_factories_script PASSED [ 91%]
2022-05-18T04:12:55.7782737Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_tensordot_dim_count PASSED [ 91%]
2022-05-18T04:12:55.8793749Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_tensordot_dim_list PASSED [ 91%]
2022-05-18T04:12:55.9039520Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_tensordot_dynamic_dim PASSED [ 92%]
2022-05-18T04:12:55.9925095Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_to_device PASSED [ 92%]
2022-05-18T04:12:56.0105101Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_tolist PASSED [ 92%]
2022-05-18T04:12:56.0512607Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_topk PASSED [ 92%]
2022-05-18T04:12:56.0890720Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_topk_int32_k PASSED [ 92%]
2022-05-18T04:12:56.1092408Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_topk_script PASSED [ 92%]
2022-05-18T04:12:56.1787324Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_topk_smallest_unsorted PASSED [ 92%]
2022-05-18T04:12:56.2012761Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_torch_mm PASSED [ 92%]
2022-05-18T04:12:56.2930249Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_trace_script PASSED [ 93%]
2022-05-18T04:12:57.1309071Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_transform_images WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:12:57.1328062Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:12:57.1417217Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:12:57.1436970Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:12:57.1760857Z PASSED [ 93%]
2022-05-18T04:12:58.2550591Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_transformer_encoder PASSED [ 93%]
2022-05-18T04:12:58.3038378Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_transpose_infer_shape PASSED [ 93%]
2022-05-18T04:12:58.3063691Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_tril SKIPPED [ 93%]
2022-05-18T04:12:58.3086217Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_triu SKIPPED [ 93%]
2022-05-18T04:12:58.3259177Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_tuple_input PASSED [ 93%]
2022-05-18T04:12:58.3280912Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_tuple_of_optional SKIPPED [ 93%]
2022-05-18T04:12:58.3302666Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_tuple_of_optional_default_tensor SKIPPED [ 94%]
2022-05-18T04:12:58.3324972Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_tuple_of_optional_default_tensor_script SKIPPED [ 94%]
2022-05-18T04:12:58.3528574Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_tuple_output PASSED [ 94%]
2022-05-18T04:12:58.3822650Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_tuple_output_from_if_with_raised_exception PASSED [ 94%]
2022-05-18T04:12:58.4115669Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_tuple_primitive_input PASSED [ 94%]
2022-05-18T04:12:58.4167406Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_tuple_with_none_outputs PASSED [ 94%]
2022-05-18T04:12:58.4921629Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_type_as PASSED [ 94%]
2022-05-18T04:12:58.5739512Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_unbind PASSED [ 94%]
2022-05-18T04:12:58.6169403Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_unbind_dynamic PASSED [ 95%]
2022-05-18T04:12:58.6527091Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_unfold PASSED [ 95%]
2022-05-18T04:12:58.7686228Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_unfold_dynamic_inputs PASSED [ 95%]
2022-05-18T04:12:58.8289095Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_unfold_infer_shape PASSED [ 95%]
2022-05-18T04:12:58.8863437Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_uninitialized PASSED [ 95%]
2022-05-18T04:12:58.9537912Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_uninitialized_dynamic PASSED [ 95%]
2022-05-18T04:12:58.9562383Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_uninitialized_intList SKIPPED [ 95%]
2022-05-18T04:12:58.9585523Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_uninitialized_tensorList SKIPPED [ 95%]
2022-05-18T04:12:58.9608051Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_uninitialized_tensorList_dynamic SKIPPED [ 96%]
2022-05-18T04:12:58.9630682Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_uninitialized_tensorList_shape SKIPPED [ 96%]
2022-05-18T04:12:59.0063577Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_unique PASSED [ 96%]
2022-05-18T04:12:59.0495736Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_unique_along_dim PASSED [ 96%]
2022-05-18T04:12:59.0629910Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_unsafe_chunk PASSED [ 96%]
2022-05-18T04:12:59.0893531Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_unsqueeze PASSED [ 96%]
2022-05-18T04:12:59.0916257Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_unsqueeze_dynamic_dim SKIPPED [ 96%]
2022-05-18T04:12:59.0937645Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_unsupported_pad SKIPPED [ 96%]
2022-05-18T04:12:59.4151906Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_var PASSED [ 97%]
2022-05-18T04:12:59.4960207Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_var_along_dims PASSED [ 97%]
2022-05-18T04:12:59.5404225Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_var_correction PASSED [ 97%]
2022-05-18T04:12:59.6230856Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_var_keepdim PASSED [ 97%]
2022-05-18T04:12:59.6814714Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_var_mean PASSED [ 97%]
2022-05-18T04:12:59.7610495Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_var_mean_along_dims PASSED [ 97%]
2022-05-18T04:12:59.8059010Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_var_mean_correction PASSED [ 97%]
2022-05-18T04:12:59.8854906Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_var_mean_keepdim PASSED [ 97%]
2022-05-18T04:12:59.9931457Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_var_mean_mixed_dims PASSED [ 98%]
2022-05-18T04:13:00.0199323Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_view PASSED [ 98%]
2022-05-18T04:13:00.0416341Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_view_as PASSED [ 98%]
2022-05-18T04:13:00.1164533Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_view_dynamic PASSED [ 98%]
2022-05-18T04:13:00.1550673Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_view_dynamic_zero_dim PASSED [ 98%]
2022-05-18T04:13:00.2996972Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_weight_norm PASSED [ 98%]
2022-05-18T04:13:00.3284025Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_weight_norm_nodim PASSED [ 98%]
2022-05-18T04:13:00.3517869Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_where PASSED [ 98%]
2022-05-18T04:13:00.3978777Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_where_condition PASSED [ 99%]
2022-05-18T04:13:00.4950610Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_where_condition_script PASSED [ 99%]
2022-05-18T04:13:00.5598366Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_where_with_bool_tensor PASSED [ 99%]
2022-05-18T04:13:00.5840286Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_where_with_byte_tensor PASSED [ 99%]
2022-05-18T04:13:00.8204192Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_word_language_model_GRU WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:00.8847956Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:00.9066283Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:00.9738110Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:01.0608642Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:01.0813797Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:01.0942637Z PASSED [ 99%]
2022-05-18T04:13:01.1581489Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_word_language_model_LSTM WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:01.2492418Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:01.2706912Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:01.2828339Z PASSED [ 99%]
2022-05-18T04:13:01.3399146Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_word_language_model_RNN_RELU WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:01.4010411Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:01.4068756Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:01.4193894Z PASSED [ 99%]
2022-05-18T04:13:01.4767519Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_word_language_model_RNN_TANH WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:01.5384776Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:01.5443539Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:01.5571403Z PASSED [ 99%]
2022-05-18T04:13:01.6202747Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_zeros_ones_with_tensor_input PASSED [100%]/opt/conda/lib/python3.7/site-packages/coverage/control.py:793: CoverageWarning: No data was collected. (no-data-collected)
2022-05-18T04:13:01.6203306Z   self._warn("No data was collected.", slug="no-data-collected")
2022-05-18T04:13:02.3411125Z 
2022-05-18T04:13:02.3424291Z 
2022-05-18T04:13:02.3425298Z =============================== warnings summary ===============================
2022-05-18T04:13:02.3426196Z ../.local/lib/python3.7/site-packages/torchvision/transforms/functional_pil.py:207
2022-05-18T04:13:02.3427163Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/transforms/functional_pil.py:207: DeprecationWarning: BILINEAR is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.BILINEAR instead.
2022-05-18T04:13:02.3427642Z     def resize(img, size, interpolation=Image.BILINEAR):
2022-05-18T04:13:02.3427801Z 
2022-05-18T04:13:02.3428083Z ../.local/lib/python3.7/site-packages/torchvision/transforms/functional_pil.py:280
2022-05-18T04:13:02.3429011Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/transforms/functional_pil.py:280: DeprecationWarning: BICUBIC is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.BICUBIC instead.
2022-05-18T04:13:02.3429739Z     def perspective(img, perspective_coeffs, interpolation=Image.BICUBIC, fill=None):
2022-05-18T04:13:02.3430196Z 
2022-05-18T04:13:02.3455799Z test/onnx/test_pytorch_onnx_onnxruntime.py: 58 warnings
2022-05-18T04:13:02.3457049Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/utils.py:1522: UserWarning: No names were found for specified dynamic axes of provided input.Automatically generated names will be applied to each dynamic axes of input x
2022-05-18T04:13:02.3457721Z     key
2022-05-18T04:13:02.3457909Z 
2022-05-18T04:13:02.3458240Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_arange_dynamic
2022-05-18T04:13:02.3458722Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_eye
2022-05-18T04:13:02.3459164Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_index_add_dynamic_axes
2022-05-18T04:13:02.3459747Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_scalar_tensor
2022-05-18T04:13:02.3460402Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_slice_dynamic
2022-05-18T04:13:02.3460859Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_slice_dynamic_to_end
2022-05-18T04:13:02.3461515Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_uninitialized_dynamic
2022-05-18T04:13:02.3461980Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_view_dynamic_zero_dim
2022-05-18T04:13:02.3462925Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/utils.py:1522: UserWarning: No names were found for specified dynamic axes of provided input.Automatically generated names will be applied to each dynamic axes of input input_1
2022-05-18T04:13:02.3463535Z     key
2022-05-18T04:13:02.3463658Z 
2022-05-18T04:13:02.3463901Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_arange_dynamic
2022-05-18T04:13:02.3464467Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_if_transpose
2022-05-18T04:13:02.3464928Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_slice_dynamic
2022-05-18T04:13:02.3465333Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_slice_dynamic_to_end
2022-05-18T04:13:02.3466363Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/utils.py:1522: UserWarning: No names were found for specified dynamic axes of provided input.Automatically generated names will be applied to each dynamic axes of input output_1
2022-05-18T04:13:02.3466977Z     key
2022-05-18T04:13:02.3467113Z 
2022-05-18T04:13:02.3467336Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_arange_out
2022-05-18T04:13:02.3467882Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_arange_with_floats_out
2022-05-18T04:13:02.3469201Z   /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:426: UserWarning: The number of elements in the out tensor of shape [1] is 1 which does not match the computed number of elements 9. Note that this may occur as a result of rounding error. The out tensor will be resized to a tensor of shape (9,). (Triggered internally at  /var/lib/jenkins/workspace/aten/src/ATen/native/RangeFactories.cpp:187.)
2022-05-18T04:13:02.3538514Z     return callable(*args, **kwargs)
2022-05-18T04:13:02.3538715Z 
2022-05-18T04:13:02.3539046Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_arange_out
2022-05-18T04:13:02.3540248Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2709: UserWarning: The number of elements in the out tensor of shape [1] is 1 which does not match the computed number of elements 9. Note that this may occur as a result of rounding error. The out tensor will be resized to a tensor of shape (9,). (Triggered internally at  /var/lib/jenkins/workspace/aten/src/ATen/native/RangeFactories.cpp:187.)
2022-05-18T04:13:02.3541230Z     return torch.arange(end, out=out_t)
2022-05-18T04:13:02.3541479Z 
2022-05-18T04:13:02.3541768Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_arange_out
2022-05-18T04:13:02.3542750Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2708: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:13:02.3543300Z     out_t = torch.tensor([1], dtype=torch.float)
2022-05-18T04:13:02.3543443Z 
2022-05-18T04:13:02.3543598Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_arange_start_out
2022-05-18T04:13:02.3544606Z   /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:426: UserWarning: The number of elements in the out tensor of shape [1] is 1 which does not match the computed number of elements 7. Note that this may occur as a result of rounding error. The out tensor will be resized to a tensor of shape (7,). (Triggered internally at  /var/lib/jenkins/workspace/aten/src/ATen/native/RangeFactories.cpp:187.)
2022-05-18T04:13:02.3545559Z     return callable(*args, **kwargs)
2022-05-18T04:13:02.3545762Z 
2022-05-18T04:13:02.3546037Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_arange_start_out
2022-05-18T04:13:02.3547190Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2719: UserWarning: The number of elements in the out tensor of shape [1] is 1 which does not match the computed number of elements 7. Note that this may occur as a result of rounding error. The out tensor will be resized to a tensor of shape (7,). (Triggered internally at  /var/lib/jenkins/workspace/aten/src/ATen/native/RangeFactories.cpp:187.)
2022-05-18T04:13:02.3547777Z     return torch.arange(start.size(0), end, out=out_t)
2022-05-18T04:13:02.3547924Z 
2022-05-18T04:13:02.3548078Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_arange_start_out
2022-05-18T04:13:02.3548707Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2718: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:13:02.3549247Z     out_t = torch.tensor([1], dtype=torch.float)
2022-05-18T04:13:02.3549386Z 
2022-05-18T04:13:02.3549560Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_arange_with_floats_out
2022-05-18T04:13:02.3550210Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2610: UserWarning: The number of elements in the out tensor of shape [1] is 1 which does not match the computed number of elements 9. Note that this may occur as a result of rounding error. The out tensor will be resized to a tensor of shape (9,). (Triggered internally at  /var/lib/jenkins/workspace/aten/src/ATen/native/RangeFactories.cpp:187.)
2022-05-18T04:13:02.3550750Z     return torch.arange(end, out=out_t)
2022-05-18T04:13:02.3550883Z 
2022-05-18T04:13:02.3551052Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_arange_with_floats_out
2022-05-18T04:13:02.3551671Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2609: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:13:02.3552522Z     out_t = torch.tensor([1], dtype=torch.float)
2022-05-18T04:13:02.3552759Z 
2022-05-18T04:13:02.3553024Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_arange_with_floats_out
2022-05-18T04:13:02.3554508Z   /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:426: UserWarning: The number of elements in the out tensor of shape [1] is 1 which does not match the computed number of elements 5. Note that this may occur as a result of rounding error. The out tensor will be resized to a tensor of shape (5,). (Triggered internally at  /var/lib/jenkins/workspace/aten/src/ATen/native/RangeFactories.cpp:187.)
2022-05-18T04:13:02.3555482Z     return callable(*args, **kwargs)
2022-05-18T04:13:02.3555690Z 
2022-05-18T04:13:02.3555972Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_arange_with_floats_out
2022-05-18T04:13:02.3557045Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2618: UserWarning: The number of elements in the out tensor of shape [1] is 1 which does not match the computed number of elements 5. Note that this may occur as a result of rounding error. The out tensor will be resized to a tensor of shape (5,). (Triggered internally at  /var/lib/jenkins/workspace/aten/src/ATen/native/RangeFactories.cpp:187.)
2022-05-18T04:13:02.3558021Z     return torch.arange(start.size(0), end, 1.5, out=out_t)
2022-05-18T04:13:02.3558263Z 
2022-05-18T04:13:02.3558589Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_arange_with_floats_out
2022-05-18T04:13:02.3559807Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2617: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:13:02.3560780Z     out_t = torch.tensor([1], dtype=torch.float)
2022-05-18T04:13:02.3561369Z 
2022-05-18T04:13:02.3561636Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_arithmetic_prim_bool
2022-05-18T04:13:02.3562987Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2217: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:13:02.3563710Z     if z:
2022-05-18T04:13:02.3563842Z 
2022-05-18T04:13:02.3564090Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_baddbmm
2022-05-18T04:13:02.3565099Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:7625: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:13:02.3566038Z     input, batch1, batch2, alpha=torch.tensor(5), beta=3.5
2022-05-18T04:13:02.3566274Z 
2022-05-18T04:13:02.3566542Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_batched_nms
2022-05-18T04:13:02.3567082Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_multi_scale_roi_align
2022-05-18T04:13:02.3567609Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_nms
2022-05-18T04:13:02.3568123Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_roi_align
2022-05-18T04:13:02.3568751Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_roi_align_aligned
2022-05-18T04:13:02.3570011Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/symbolic_opset9.py:778: UserWarning: This model contains a squeeze operation on dimension 1. If the model is intended to be used with dynamic input shapes, please use opset version 11 to export the model.
2022-05-18T04:13:02.3570936Z     + "intended to be used with dynamic input shapes, please use opset version 11 to export the model."
2022-05-18T04:13:02.3571269Z 
2022-05-18T04:13:02.3571483Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_batchnorm1d_norunningstats
2022-05-18T04:13:02.3571920Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_batchnorm2d_norunningstats
2022-05-18T04:13:02.3572618Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/symbolic_helper.py:1139: UserWarning: ONNX export mode is set to inference mode, but operator batch_norm is set to training  mode. The operators will be exported in training , as specified by the functional operator.
2022-05-18T04:13:02.3573072Z     + ", as specified by the functional operator."
2022-05-18T04:13:02.3573216Z 
2022-05-18T04:13:02.3573398Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_batchnorm1d_norunningstats
2022-05-18T04:13:02.3573769Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_batchnorm2d_norunningstats
2022-05-18T04:13:02.3574116Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_batchnorm_training
2022-05-18T04:13:02.3574483Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_batchnorm_training_mode_fix_layer
2022-05-18T04:13:02.3575080Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_conv_bn
2022-05-18T04:13:02.3575490Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_groupnorm
2022-05-18T04:13:02.3575822Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_groupnorm_noaffine
2022-05-18T04:13:02.3576173Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_multiple_conv_bn
2022-05-18T04:13:02.3576967Z   /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:2352: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:13:02.3577444Z     if size_prods == 1:
2022-05-18T04:13:02.3577561Z 
2022-05-18T04:13:02.3577668Z test/onnx/test_pytorch_onnx_onnxruntime.py: 11 warnings
2022-05-18T04:13:02.3578802Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/utils.py:438: UserWarning: It is recommended that constant folding be turned off ('do_constant_folding=False') when exporting the model in training-amenable mode, i.e. with 'training=TrainingMode.TRAIN' or 'training=TrainingMode.PRESERVE' (when model is in training mode). Otherwise, some learnable model parameters may not translate correctly in the exported ONNX model because constant folding mutates model parameters. Please consider turning off constant folding or setting the training=TrainingMode.EVAL.
2022-05-18T04:13:02.3579682Z     "It is recommended that constant folding be turned off ('do_constant_folding=False') "
2022-05-18T04:13:02.3579863Z 
2022-05-18T04:13:02.3580046Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_binary_cross_entropy_with_logits
2022-05-18T04:13:02.3580844Z   /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:3096: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:13:02.3581343Z     if not (target.size() == input.size()):
2022-05-18T04:13:02.3581465Z 
2022-05-18T04:13:02.3581622Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_bitshift
2022-05-18T04:13:02.3582230Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:3936: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:13:02.3582748Z     input >> torch.tensor([1, 2]),
2022-05-18T04:13:02.3582872Z 
2022-05-18T04:13:02.3583098Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_bitshift_uint8
2022-05-18T04:13:02.3583701Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:3952: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:13:02.3584242Z     input2 >> torch.tensor([1, 2], dtype=torch.uint8),
2022-05-18T04:13:02.3584383Z 
2022-05-18T04:13:02.3584551Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_clip_boxes_to_image
2022-05-18T04:13:02.3585246Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/utils.py:1522: UserWarning: No names were found for specified dynamic axes of provided input.Automatically generated names will be applied to each dynamic axes of input size
2022-05-18T04:13:02.3585624Z     key
2022-05-18T04:13:02.3585706Z 
2022-05-18T04:13:02.3585874Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_clip_boxes_to_image
2022-05-18T04:13:02.3586218Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_faster_rcnn
2022-05-18T04:13:02.3586598Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_mask_rcnn
2022-05-18T04:13:02.3586916Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_roi_heads
2022-05-18T04:13:02.3587239Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_rpn
2022-05-18T04:13:02.3588099Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/ops/boxes.py:116: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:13:02.3588705Z     boxes_x = torch.max(boxes_x, torch.tensor(0, dtype=boxes.dtype, device=boxes.device))
2022-05-18T04:13:02.3588889Z 
2022-05-18T04:13:02.3589056Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_clip_boxes_to_image
2022-05-18T04:13:02.3589388Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_faster_rcnn
2022-05-18T04:13:02.3589722Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_mask_rcnn
2022-05-18T04:13:02.3590056Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_roi_heads
2022-05-18T04:13:02.3590364Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_rpn
2022-05-18T04:13:02.3591214Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/ops/boxes.py:117: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:13:02.3591814Z     boxes_x = torch.min(boxes_x, torch.tensor(width, dtype=boxes.dtype, device=boxes.device))
2022-05-18T04:13:02.3591998Z 
2022-05-18T04:13:02.3592164Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_clip_boxes_to_image
2022-05-18T04:13:02.3592506Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_faster_rcnn
2022-05-18T04:13:02.3592822Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_mask_rcnn
2022-05-18T04:13:02.3593152Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_roi_heads
2022-05-18T04:13:02.3593476Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_rpn
2022-05-18T04:13:02.3594173Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/ops/boxes.py:117: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor).
2022-05-18T04:13:02.3594716Z     boxes_x = torch.min(boxes_x, torch.tensor(width, dtype=boxes.dtype, device=boxes.device))
2022-05-18T04:13:02.3594899Z 
2022-05-18T04:13:02.3595066Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_clip_boxes_to_image
2022-05-18T04:13:02.3595407Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_faster_rcnn
2022-05-18T04:13:02.3595740Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_mask_rcnn
2022-05-18T04:13:02.3596056Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_roi_heads
2022-05-18T04:13:02.3596382Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_rpn
2022-05-18T04:13:02.3597226Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/ops/boxes.py:118: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:13:02.3597856Z     boxes_y = torch.max(boxes_y, torch.tensor(0, dtype=boxes.dtype, device=boxes.device))
2022-05-18T04:13:02.3598038Z 
2022-05-18T04:13:02.3598194Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_clip_boxes_to_image
2022-05-18T04:13:02.3598533Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_faster_rcnn
2022-05-18T04:13:02.3598865Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_mask_rcnn
2022-05-18T04:13:02.3599193Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_roi_heads
2022-05-18T04:13:02.3599501Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_rpn
2022-05-18T04:13:02.3600354Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/ops/boxes.py:119: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:13:02.3600959Z     boxes_y = torch.min(boxes_y, torch.tensor(height, dtype=boxes.dtype, device=boxes.device))
2022-05-18T04:13:02.3601147Z 
2022-05-18T04:13:02.3601316Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_clip_boxes_to_image
2022-05-18T04:13:02.3601644Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_faster_rcnn
2022-05-18T04:13:02.3601975Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_mask_rcnn
2022-05-18T04:13:02.3602303Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_roi_heads
2022-05-18T04:13:02.3602626Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_rpn
2022-05-18T04:13:02.3603312Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/ops/boxes.py:119: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor).
2022-05-18T04:13:02.3603838Z     boxes_y = torch.min(boxes_y, torch.tensor(height, dtype=boxes.dtype, device=boxes.device))
2022-05-18T04:13:02.3604024Z 
2022-05-18T04:13:02.3604185Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_dequantize
2022-05-18T04:13:02.3604546Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_quantized_adaptive_avg_pool2d
2022-05-18T04:13:02.3604894Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_quantized_arithmetic
2022-05-18T04:13:02.3605242Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_quantized_conv2d
2022-05-18T04:13:02.3605628Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_quantized_conv2d_relu
2022-05-18T04:13:02.3605977Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_quantized_flatten
2022-05-18T04:13:02.3606317Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_quantized_hardsigmoid
2022-05-18T04:13:02.3606666Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_quantized_hardswish
2022-05-18T04:13:02.3607015Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_quantized_linear
2022-05-18T04:13:02.3607550Z   /opt/conda/lib/python3.7/site-packages/torch/jit/_trace.py:745: UserWarning: The input to trace is already a ScriptModule, tracing it is a no-op. Returning the object as is.
2022-05-18T04:13:02.3608054Z     "The input to trace is already a ScriptModule, tracing it is a no-op. Returning the object as is."
2022-05-18T04:13:02.3608247Z 
2022-05-18T04:13:02.3608407Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_derive_index
2022-05-18T04:13:02.3608995Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:9340: TracerWarning: Using len to get tensor shape might cause the trace to be incorrect. Recommended usage would be tensor.shape[0]. Passing a tensor of different shape might lead to errors or silently give incorrect results.
2022-05-18T04:13:02.3609516Z     for idx in range(len(x) - 1, -len(x), -2):
2022-05-18T04:13:02.3609637Z 
2022-05-18T04:13:02.3609797Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_derive_index
2022-05-18T04:13:02.3610336Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:9351: TracerWarning: Using len to get tensor shape might cause the trace to be incorrect. Recommended usage would be tensor.shape[0]. Passing a tensor of different shape might lead to errors or silently give incorrect results.
2022-05-18T04:13:02.3610836Z     for idx in range(-len(x), len(x) - 1, 2):
2022-05-18T04:13:02.3610973Z 
2022-05-18T04:13:02.3611133Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_derive_index
2022-05-18T04:13:02.3611660Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:9362: TracerWarning: Using len to get tensor shape might cause the trace to be incorrect. Recommended usage would be tensor.shape[0]. Passing a tensor of different shape might lead to errors or silently give incorrect results.
2022-05-18T04:13:02.3612175Z     for idx in range(len(x) - 1, -len(x), -3):
2022-05-18T04:13:02.3612307Z 
2022-05-18T04:13:02.3612466Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_derive_index
2022-05-18T04:13:02.3613008Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:9372: TracerWarning: Using len to get tensor shape might cause the trace to be incorrect. Recommended usage would be tensor.shape[0]. Passing a tensor of different shape might lead to errors or silently give incorrect results.
2022-05-18T04:13:02.3613515Z     for idx in range(-len(x), len(x) - 1, 3):
2022-05-18T04:13:02.3613634Z 
2022-05-18T04:13:02.3613807Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_derive_index_scripting
2022-05-18T04:13:02.3614358Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:9296: TracerWarning: Using len to get tensor shape might cause the trace to be incorrect. Recommended usage would be tensor.shape[0]. Passing a tensor of different shape might lead to errors or silently give incorrect results.
2022-05-18T04:13:02.3615007Z     for idx in range(len(x) - 1, -len(x), -2):
2022-05-18T04:13:02.3615139Z 
2022-05-18T04:13:02.3615312Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_derive_index_scripting
2022-05-18T04:13:02.3615845Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:9307: TracerWarning: Using len to get tensor shape might cause the trace to be incorrect. Recommended usage would be tensor.shape[0]. Passing a tensor of different shape might lead to errors or silently give incorrect results.
2022-05-18T04:13:02.3616415Z     for idx in range(-len(x), len(x) - 1, 2):
2022-05-18T04:13:02.3616547Z 
2022-05-18T04:13:02.3616722Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_derive_index_scripting
2022-05-18T04:13:02.3617273Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:9318: TracerWarning: Using len to get tensor shape might cause the trace to be incorrect. Recommended usage would be tensor.shape[0]. Passing a tensor of different shape might lead to errors or silently give incorrect results.
2022-05-18T04:13:02.3617776Z     for idx in range(len(x) - 1, -len(x), -3):
2022-05-18T04:13:02.3617895Z 
2022-05-18T04:13:02.3618066Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_derive_index_scripting
2022-05-18T04:13:02.3618608Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:9328: TracerWarning: Using len to get tensor shape might cause the trace to be incorrect. Recommended usage would be tensor.shape[0]. Passing a tensor of different shape might lead to errors or silently give incorrect results.
2022-05-18T04:13:02.3619116Z     for idx in range(-len(x), len(x) - 1, 3):
2022-05-18T04:13:02.3619246Z 
2022-05-18T04:13:02.3619443Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_dist_normal
2022-05-18T04:13:02.3619786Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_dist_normal_correctness
2022-05-18T04:13:02.3620594Z   /opt/conda/lib/python3.7/site-packages/torch/distributions/distribution.py:54: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:13:02.3621089Z     if not valid.all():
2022-05-18T04:13:02.3621202Z 
2022-05-18T04:13:02.3621361Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_dist_uniform
2022-05-18T04:13:02.3621697Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_dist_uniform_correctness
2022-05-18T04:13:02.3622503Z   /opt/conda/lib/python3.7/site-packages/torch/distributions/uniform.py:55: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:13:02.3623045Z     if self._validate_args and not torch.lt(self.low, self.high).all():
2022-05-18T04:13:02.3623209Z 
2022-05-18T04:13:02.3623374Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_dropout_training
2022-05-18T04:13:02.3623714Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_dropout_training_zero
2022-05-18T04:13:02.3624382Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/symbolic_opset12.py:57: UserWarning: Dropout is a training op and should not be exported in inference mode. For inference, make sure to call eval() on the model and to export it with param training=False.
2022-05-18T04:13:02.3624914Z     "Dropout is a training op and should not be exported in inference mode. "
2022-05-18T04:13:02.3625089Z 
2022-05-18T04:13:02.3625258Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_dynamic_arange_out
2022-05-18T04:13:02.3626181Z   /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:426: UserWarning: The number of elements in the out tensor of shape [1] is 1 which does not match the computed number of elements 8. Note that this may occur as a result of rounding error. The out tensor will be resized to a tensor of shape (8,). (Triggered internally at  /var/lib/jenkins/workspace/aten/src/ATen/native/RangeFactories.cpp:187.)
2022-05-18T04:13:02.3626731Z     return callable(*args, **kwargs)
2022-05-18T04:13:02.3626896Z 
2022-05-18T04:13:02.3627063Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_dynamic_arange_out
2022-05-18T04:13:02.3627708Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2561: UserWarning: The number of elements in the out tensor of shape [1] is 1 which does not match the computed number of elements 8. Note that this may occur as a result of rounding error. The out tensor will be resized to a tensor of shape (8,). (Triggered internally at  /var/lib/jenkins/workspace/aten/src/ATen/native/RangeFactories.cpp:187.)
2022-05-18T04:13:02.3628250Z     return torch.arange(end, out=out_t)
2022-05-18T04:13:02.3628381Z 
2022-05-18T04:13:02.3628546Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_dynamic_arange_out
2022-05-18T04:13:02.3629146Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2560: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:13:02.3629689Z     out_t = torch.tensor([1], dtype=torch.int64)
2022-05-18T04:13:02.3629829Z 
2022-05-18T04:13:02.3630031Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_dynamic_arange_start_out
2022-05-18T04:13:02.3630963Z   /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:426: UserWarning: The number of elements in the out tensor of shape [1] is 1 which does not match the computed number of elements 6. Note that this may occur as a result of rounding error. The out tensor will be resized to a tensor of shape (6,). (Triggered internally at  /var/lib/jenkins/workspace/aten/src/ATen/native/RangeFactories.cpp:187.)
2022-05-18T04:13:02.3631527Z     return callable(*args, **kwargs)
2022-05-18T04:13:02.3631653Z 
2022-05-18T04:13:02.3631815Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_dynamic_arange_start_out
2022-05-18T04:13:02.3632467Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2571: UserWarning: The number of elements in the out tensor of shape [1] is 1 which does not match the computed number of elements 6. Note that this may occur as a result of rounding error. The out tensor will be resized to a tensor of shape (6,). (Triggered internally at  /var/lib/jenkins/workspace/aten/src/ATen/native/RangeFactories.cpp:187.)
2022-05-18T04:13:02.3633037Z     return torch.arange(start.size(0), end, out=out_t)
2022-05-18T04:13:02.3633181Z 
2022-05-18T04:13:02.3633354Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_dynamic_arange_start_out
2022-05-18T04:13:02.3633977Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2570: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:13:02.3634512Z     out_t = torch.tensor([1], dtype=torch.int64)
2022-05-18T04:13:02.3634639Z 
2022-05-18T04:13:02.3634804Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_dynamic_chunk
2022-05-18T04:13:02.3635596Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:6019: TracerWarning: Converting a tensor to a Python integer might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:13:02.3636099Z     return torch.chunk(x, x.size(0), dim=self.dim)
2022-05-18T04:13:02.3636239Z 
2022-05-18T04:13:02.3636404Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_dynamic_expand_as
2022-05-18T04:13:02.3637009Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:4515: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:13:02.3637568Z     x[:, x.size(0) :] = torch.tensor([1, 2, 3])
2022-05-18T04:13:02.3637697Z 
2022-05-18T04:13:02.3637817Z test/onnx/test_pytorch_onnx_onnxruntime.py: 129 warnings
2022-05-18T04:13:02.3638615Z   /opt/conda/lib/python3.7/site-packages/torch/nn/utils/rnn.py:250: TracerWarning: torch.as_tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:13:02.3639159Z     lengths = torch.as_tensor(lengths, dtype=torch.int64)
2022-05-18T04:13:02.3639312Z 
2022-05-18T04:13:02.3639419Z test/onnx/test_pytorch_onnx_onnxruntime.py: 65 warnings
2022-05-18T04:13:02.3640187Z   /opt/conda/lib/python3.7/site-packages/torch/nn/modules/rnn.py:436: TracerWarning: Converting a tensor to a Python integer might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:13:02.3640673Z     max_batch_size = int(batch_sizes[0])
2022-05-18T04:13:02.3640801Z 
2022-05-18T04:13:02.3640919Z test/onnx/test_pytorch_onnx_onnxruntime.py: 208 warnings
2022-05-18T04:13:02.3641644Z   /opt/conda/lib/python3.7/site-packages/torch/nn/modules/rnn.py:204: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:13:02.3642173Z     if self.input_size != input.size(-1):
2022-05-18T04:13:02.3642305Z 
2022-05-18T04:13:02.3642424Z test/onnx/test_pytorch_onnx_onnxruntime.py: 129 warnings
2022-05-18T04:13:02.3643161Z   /opt/conda/lib/python3.7/site-packages/torch/nn/modules/rnn.py:211: TracerWarning: Converting a tensor to a Python integer might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:13:02.3643639Z     mini_batch = int(batch_sizes[0])
2022-05-18T04:13:02.3643750Z 
2022-05-18T04:13:02.3643869Z test/onnx/test_pytorch_onnx_onnxruntime.py: 208 warnings
2022-05-18T04:13:02.3644593Z   /opt/conda/lib/python3.7/site-packages/torch/nn/modules/rnn.py:225: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:13:02.3645084Z     if hx.size() != expected_hidden_size:
2022-05-18T04:13:02.3645214Z 
2022-05-18T04:13:02.3645333Z test/onnx/test_pytorch_onnx_onnxruntime.py: 129 warnings
2022-05-18T04:13:02.3646059Z   /opt/conda/lib/python3.7/site-packages/torch/nn/utils/rnn.py:330: TracerWarning: Converting a tensor to a Python integer might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:13:02.3646608Z     sequence.data, sequence.batch_sizes, batch_first, padding_value, max_seq_length)
2022-05-18T04:13:02.3646789Z 
2022-05-18T04:13:02.3646908Z test/onnx/test_pytorch_onnx_onnxruntime.py: 49 warnings
2022-05-18T04:13:02.3647706Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/symbolic_opset9.py:3097: UserWarning: Exporting a model to ONNX with a batch_size other than 1, with a variable length with RNN_RELU can cause an error when running the ONNX model with a different batch size. Make sure to save the model with a batch size of 1, or define the initial states (h0/c0) as inputs of the model. 
2022-05-18T04:13:02.3648293Z     + "or define the initial states (h0/c0) as inputs of the model. "
2022-05-18T04:13:02.3648449Z 
2022-05-18T04:13:02.3648555Z test/onnx/test_pytorch_onnx_onnxruntime.py: 48 warnings
2022-05-18T04:13:02.3649149Z   /opt/conda/lib/python3.7/site-packages/torch/nn/modules/rnn.py:65: UserWarning: dropout option adds dropout after all but last recurrent layer, so non-zero dropout expects num_layers greater than 1, but got dropout=0.2 and num_layers=1
2022-05-18T04:13:02.3649570Z     "num_layers={}".format(dropout, num_layers))
2022-05-18T04:13:02.3649707Z 
2022-05-18T04:13:02.3649823Z test/onnx/test_pytorch_onnx_onnxruntime.py: 51 warnings
2022-05-18T04:13:02.3650628Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/symbolic_opset9.py:3097: UserWarning: Exporting a model to ONNX with a batch_size other than 1, with a variable length with RNN_TANH can cause an error when running the ONNX model with a different batch size. Make sure to save the model with a batch size of 1, or define the initial states (h0/c0) as inputs of the model. 
2022-05-18T04:13:02.3651179Z     + "or define the initial states (h0/c0) as inputs of the model. "
2022-05-18T04:13:02.3651335Z 
2022-05-18T04:13:02.3651499Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_embedding
2022-05-18T04:13:02.3651843Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_embedding_module
2022-05-18T04:13:02.3652631Z   /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:2130: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:13:02.3653168Z     assert padding_idx < weight.size(0), "Padding_idx must be within num_embeddings"
2022-05-18T04:13:02.3653346Z 
2022-05-18T04:13:02.3653503Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_embedding
2022-05-18T04:13:02.3654160Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/symbolic_opset9.py:538: UserWarning: Warning: ONNX export of embedding with padding_idx >= 0 for training mode. ONNX does not support not updating the embedding vector at padding_idx during training.
2022-05-18T04:13:02.3654742Z     "Warning: ONNX export of embedding with padding_idx >= 0 "
2022-05-18T04:13:02.3654900Z 
2022-05-18T04:13:02.3655075Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_embedding_bag_1d_per_sample_weights
2022-05-18T04:13:02.3655463Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_embedding_bag_2d_per_sample_weights
2022-05-18T04:13:02.3656263Z   /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:2269: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:13:02.3656819Z     if per_sample_weights is not None and input.size() != per_sample_weights.size():
2022-05-18T04:13:02.3656998Z 
2022-05-18T04:13:02.3657181Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_embedding_bag_2d_per_sample_weights
2022-05-18T04:13:02.3657814Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/utils.py:1522: UserWarning: No names were found for specified dynamic axes of provided input.Automatically generated names will be applied to each dynamic axes of input w
2022-05-18T04:13:02.3658186Z     key
2022-05-18T04:13:02.3658279Z 
2022-05-18T04:13:02.3658430Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_eye
2022-05-18T04:13:02.3659292Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:6400: TracerWarning: Converting a tensor to a Python integer might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:13:02.3659762Z     torch.eye(x.size()[1], 3),
2022-05-18T04:13:02.3659883Z 
2022-05-18T04:13:02.3660037Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_eye
2022-05-18T04:13:02.3660815Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:6402: TracerWarning: Converting a tensor to a Python integer might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:13:02.3661317Z     torch.eye(x.size()[1], 2, dtype=torch.long),
2022-05-18T04:13:02.3661457Z 
2022-05-18T04:13:02.3661592Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_eye
2022-05-18T04:13:02.3662407Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:6403: TracerWarning: Converting a tensor to a Python integer might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:13:02.3662880Z     torch.eye(x.shape[0]),
2022-05-18T04:13:02.3662999Z 
2022-05-18T04:13:02.3663149Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_eye
2022-05-18T04:13:02.3663928Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:6404: TracerWarning: Converting a tensor to a Python integer might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:13:02.3664421Z     torch.eye(x.shape[0], dtype=torch.float64),
2022-05-18T04:13:02.3664561Z 
2022-05-18T04:13:02.3664721Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_faster_rcnn
2022-05-18T04:13:02.3665484Z   /opt/conda/lib/python3.7/site-packages/torch/functional.py:478: UserWarning: torch.meshgrid: in an upcoming release, it will be required to pass the indexing argument. (Triggered internally at  /var/lib/jenkins/workspace/aten/src/ATen/native/TensorShape.cpp:2904.)
2022-05-18T04:13:02.3666032Z     return _VF.meshgrid(tensors, **kwargs)  # type: ignore[attr-defined]
2022-05-18T04:13:02.3666197Z 
2022-05-18T04:13:02.3666344Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_faster_rcnn
2022-05-18T04:13:02.3666682Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_mask_rcnn
2022-05-18T04:13:02.3667023Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_transform_images
2022-05-18T04:13:02.3667913Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/detection/transform.py:126: TracerWarning: torch.as_tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:13:02.3668512Z     mean = torch.as_tensor(self.image_mean, dtype=dtype, device=device)
2022-05-18T04:13:02.3668664Z 
2022-05-18T04:13:02.3668824Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_faster_rcnn
2022-05-18T04:13:02.3669156Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_mask_rcnn
2022-05-18T04:13:02.3669494Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_transform_images
2022-05-18T04:13:02.3670378Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/detection/transform.py:127: TracerWarning: torch.as_tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:13:02.3670982Z     std = torch.as_tensor(self.image_std, dtype=dtype, device=device)
2022-05-18T04:13:02.3671146Z 
2022-05-18T04:13:02.3671305Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_faster_rcnn
2022-05-18T04:13:02.3671673Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_interpolate_adaptive_pooling_error
2022-05-18T04:13:02.3672035Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_mask_rcnn
2022-05-18T04:13:02.3672359Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_resize_images
2022-05-18T04:13:02.3672701Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_transform_images
2022-05-18T04:13:02.3673577Z   /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:3846: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:13:02.3674084Z     for i in range(dim)
2022-05-18T04:13:02.3674195Z 
2022-05-18T04:13:02.3674342Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_faster_rcnn
2022-05-18T04:13:02.3674676Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_mask_rcnn
2022-05-18T04:13:02.3675009Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_resize_images
2022-05-18T04:13:02.3675351Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_transform_images
2022-05-18T04:13:02.3676031Z   /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:3846: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor).
2022-05-18T04:13:02.3676463Z     for i in range(dim)
2022-05-18T04:13:02.3676574Z 
2022-05-18T04:13:02.3676731Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_faster_rcnn
2022-05-18T04:13:02.3677066Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_mask_rcnn
2022-05-18T04:13:02.3677383Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_roi_heads
2022-05-18T04:13:02.3677705Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_rpn
2022-05-18T04:13:02.3678684Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/detection/anchor_utils.py:148: UserWarning: __floordiv__ is deprecated, and its behavior will change in a future version of pytorch. It currently rounds toward 0 (like the 'trunc' function NOT 'floor'). This results in incorrect rounding for negative values. To keep the current behavior, use torch.div(a, b, rounding_mode='trunc'), or for actual floor division, use torch.div(a, b, rounding_mode='floor').
2022-05-18T04:13:02.3679359Z     torch.tensor(image_size[1] // g[1], dtype=torch.int64, device=device)] for g in grid_sizes]
2022-05-18T04:13:02.3679538Z 
2022-05-18T04:13:02.3679697Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_faster_rcnn
2022-05-18T04:13:02.3680016Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_mask_rcnn
2022-05-18T04:13:02.3680342Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_roi_heads
2022-05-18T04:13:02.3680665Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_rpn
2022-05-18T04:13:02.3681526Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/detection/anchor_utils.py:148: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:13:02.3682179Z     torch.tensor(image_size[1] // g[1], dtype=torch.int64, device=device)] for g in grid_sizes]
2022-05-18T04:13:02.3682358Z 
2022-05-18T04:13:02.3682517Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_faster_rcnn
2022-05-18T04:13:02.3682848Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_mask_rcnn
2022-05-18T04:13:02.3683175Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_roi_heads
2022-05-18T04:13:02.3683483Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_rpn
2022-05-18T04:13:02.3684214Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/detection/anchor_utils.py:148: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor).
2022-05-18T04:13:02.3684781Z     torch.tensor(image_size[1] // g[1], dtype=torch.int64, device=device)] for g in grid_sizes]
2022-05-18T04:13:02.3684959Z 
2022-05-18T04:13:02.3685119Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_faster_rcnn
2022-05-18T04:13:02.3685442Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_mask_rcnn
2022-05-18T04:13:02.3686322Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/detection/anchor_utils.py:61: TracerWarning: torch.as_tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:13:02.3686908Z     scales = torch.as_tensor(scales, dtype=dtype, device=device)
2022-05-18T04:13:02.3687065Z 
2022-05-18T04:13:02.3687225Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_faster_rcnn
2022-05-18T04:13:02.3687546Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_mask_rcnn
2022-05-18T04:13:02.3688430Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/detection/anchor_utils.py:62: TracerWarning: torch.as_tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:13:02.3689039Z     aspect_ratios = torch.as_tensor(aspect_ratios, dtype=dtype, device=device)
2022-05-18T04:13:02.3689209Z 
2022-05-18T04:13:02.3689372Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_faster_rcnn
2022-05-18T04:13:02.3689709Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_mask_rcnn
2022-05-18T04:13:02.3690024Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_roi_heads
2022-05-18T04:13:02.3690350Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_rpn
2022-05-18T04:13:02.3691175Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/detection/anchor_utils.py:136: TracerWarning: Converting a tensor to a Python integer might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:13:02.3691688Z     key = str(grid_sizes) + str(strides)
2022-05-18T04:13:02.3691816Z 
2022-05-18T04:13:02.3691963Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_faster_rcnn
2022-05-18T04:13:02.3692293Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_mask_rcnn
2022-05-18T04:13:02.3692655Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_roi_heads
2022-05-18T04:13:02.3692975Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_rpn
2022-05-18T04:13:02.3693729Z   /opt/conda/lib/python3.7/site-packages/torch/_tensor_str.py:424: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:13:02.3694224Z     if self.numel() == 0 and not self.is_sparse:
2022-05-18T04:13:02.3694359Z 
2022-05-18T04:13:02.3694662Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_faster_rcnn
2022-05-18T04:13:02.3695026Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_mask_rcnn
2022-05-18T04:13:02.3695344Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_roi_heads
2022-05-18T04:13:02.3695672Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_rpn
2022-05-18T04:13:02.3696525Z   /opt/conda/lib/python3.7/site-packages/torch/_tensor_str.py:237: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:13:02.3697001Z     if self.numel() == 0:
2022-05-18T04:13:02.3697118Z 
2022-05-18T04:13:02.3697265Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_faster_rcnn
2022-05-18T04:13:02.3697600Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_mask_rcnn
2022-05-18T04:13:02.3697931Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_roi_heads
2022-05-18T04:13:02.3698254Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_rpn
2022-05-18T04:13:02.3699004Z   /opt/conda/lib/python3.7/site-packages/torch/_tensor_str.py:270: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:13:02.3699539Z     formatter = _Formatter(get_summarized_data(self) if summarize else self)
2022-05-18T04:13:02.3699708Z 
2022-05-18T04:13:02.3699867Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_faster_rcnn
2022-05-18T04:13:02.3700202Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_mask_rcnn
2022-05-18T04:13:02.3700516Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_roi_heads
2022-05-18T04:13:02.3700837Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_rpn
2022-05-18T04:13:02.3701549Z   /opt/conda/lib/python3.7/site-packages/torch/_tensor_str.py:98: TracerWarning: Iterating over a tensor might cause the trace to be incorrect. Passing a tensor of different shape won't change the number of iterations executed (and might lead to errors or silently give incorrect results).
2022-05-18T04:13:02.3701998Z     for value in tensor_view:
2022-05-18T04:13:02.3702105Z 
2022-05-18T04:13:02.3702263Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_faster_rcnn
2022-05-18T04:13:02.3702595Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_mask_rcnn
2022-05-18T04:13:02.3702923Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_roi_heads
2022-05-18T04:13:02.3703230Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_rpn
2022-05-18T04:13:02.3703990Z   /opt/conda/lib/python3.7/site-packages/torch/_tensor.py:662: TracerWarning: Converting a tensor to a Python number might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:13:02.3704522Z     return self.item().__format__(format_spec)
2022-05-18T04:13:02.3704657Z 
2022-05-18T04:13:02.3704889Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_faster_rcnn
2022-05-18T04:13:02.3705227Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_mask_rcnn
2022-05-18T04:13:02.3705543Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_roi_heads
2022-05-18T04:13:02.3705868Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_rpn
2022-05-18T04:13:02.3706638Z   /opt/conda/lib/python3.7/site-packages/torch/_tensor_str.py:176: TracerWarning: Converting a tensor to a Python number might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:13:02.3707129Z     return formatter1.format(self.item())
2022-05-18T04:13:02.3707251Z 
2022-05-18T04:13:02.3707408Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_faster_rcnn
2022-05-18T04:13:02.3707781Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_mask_rcnn
2022-05-18T04:13:02.3708114Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_roi_heads
2022-05-18T04:13:02.3708422Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_rpn
2022-05-18T04:13:02.3709389Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/detection/rpn.py:85: UserWarning: __floordiv__ is deprecated, and its behavior will change in a future version of pytorch. It currently rounds toward 0 (like the 'trunc' function NOT 'floor'). This results in incorrect rounding for negative values. To keep the current behavior, use torch.div(a, b, rounding_mode='trunc'), or for actual floor division, use torch.div(a, b, rounding_mode='floor').
2022-05-18T04:13:02.3709982Z     A = Ax4 // 4
2022-05-18T04:13:02.3710088Z 
2022-05-18T04:13:02.3710245Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_faster_rcnn
2022-05-18T04:13:02.3710579Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_mask_rcnn
2022-05-18T04:13:02.3710895Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_roi_heads
2022-05-18T04:13:02.3711217Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_rpn
2022-05-18T04:13:02.3712188Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/detection/rpn.py:86: UserWarning: __floordiv__ is deprecated, and its behavior will change in a future version of pytorch. It currently rounds toward 0 (like the 'trunc' function NOT 'floor'). This results in incorrect rounding for negative values. To keep the current behavior, use torch.div(a, b, rounding_mode='trunc'), or for actual floor division, use torch.div(a, b, rounding_mode='floor').
2022-05-18T04:13:02.3712768Z     C = AxC // A
2022-05-18T04:13:02.3712873Z 
2022-05-18T04:13:02.3713019Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_faster_rcnn
2022-05-18T04:13:02.3713354Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_mask_rcnn
2022-05-18T04:13:02.3713684Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_roi_heads
2022-05-18T04:13:02.3714004Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_rpn
2022-05-18T04:13:02.3714794Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/detection/_utils.py:177: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:13:02.3715285Z     if box_sum > 0:
2022-05-18T04:13:02.3715437Z 
2022-05-18T04:13:02.3715598Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_faster_rcnn
2022-05-18T04:13:02.3715930Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_mask_rcnn
2022-05-18T04:13:02.3716248Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_roi_heads
2022-05-18T04:13:02.3716572Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_rpn
2022-05-18T04:13:02.3717440Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/detection/_utils.py:218: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:13:02.3718147Z     pred_boxes1 = pred_ctr_x - torch.tensor(0.5, dtype=pred_ctr_x.dtype, device=pred_w.device) * pred_w
2022-05-18T04:13:02.3718347Z 
2022-05-18T04:13:02.3718509Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_faster_rcnn
2022-05-18T04:13:02.3718824Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_mask_rcnn
2022-05-18T04:13:02.3719186Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_roi_heads
2022-05-18T04:13:02.3719513Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_rpn
2022-05-18T04:13:02.3720367Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/detection/_utils.py:219: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:13:02.3721062Z     pred_boxes2 = pred_ctr_y - torch.tensor(0.5, dtype=pred_ctr_y.dtype, device=pred_h.device) * pred_h
2022-05-18T04:13:02.3721257Z 
2022-05-18T04:13:02.3721417Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_faster_rcnn
2022-05-18T04:13:02.3721749Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_mask_rcnn
2022-05-18T04:13:02.3722080Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_roi_heads
2022-05-18T04:13:02.3722389Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_rpn
2022-05-18T04:13:02.3723252Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/detection/_utils.py:220: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:13:02.3723872Z     pred_boxes3 = pred_ctr_x + torch.tensor(0.5, dtype=pred_ctr_x.dtype, device=pred_w.device) * pred_w
2022-05-18T04:13:02.3724066Z 
2022-05-18T04:13:02.3724225Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_faster_rcnn
2022-05-18T04:13:02.3724545Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_mask_rcnn
2022-05-18T04:13:02.3724876Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_roi_heads
2022-05-18T04:13:02.3725198Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_rpn
2022-05-18T04:13:02.3726058Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/detection/_utils.py:221: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:13:02.3726668Z     pred_boxes4 = pred_ctr_y + torch.tensor(0.5, dtype=pred_ctr_y.dtype, device=pred_h.device) * pred_h
2022-05-18T04:13:02.3726884Z 
2022-05-18T04:13:02.3727043Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_faster_rcnn
2022-05-18T04:13:02.3727377Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_mask_rcnn
2022-05-18T04:13:02.3727706Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_roi_heads
2022-05-18T04:13:02.3728015Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_rpn
2022-05-18T04:13:02.3728829Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/detection/_utils.py:182: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:13:02.3729320Z     if box_sum > 0:
2022-05-18T04:13:02.3729427Z 
2022-05-18T04:13:02.3729588Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_faster_rcnn
2022-05-18T04:13:02.3729908Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_mask_rcnn
2022-05-18T04:13:02.3730266Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_roi_heads
2022-05-18T04:13:02.3730591Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_rpn
2022-05-18T04:13:02.3731448Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/detection/rpn.py:24: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:13:02.3732031Z     (torch.tensor([orig_pre_nms_top_n], dtype=num_anchors.dtype),
2022-05-18T04:13:02.3732179Z 
2022-05-18T04:13:02.3732338Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_faster_rcnn
2022-05-18T04:13:02.3732673Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_mask_rcnn
2022-05-18T04:13:02.3733002Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_roi_heads
2022-05-18T04:13:02.3733313Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_rpn
2022-05-18T04:13:02.3734123Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/detection/rpn.py:225: TracerWarning: Converting a tensor to a Python integer might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:13:02.3734801Z     _, top_n_idx = ob.topk(pre_nms_top_n, dim=1)
2022-05-18T04:13:02.3734941Z 
2022-05-18T04:13:02.3735102Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_faster_rcnn
2022-05-18T04:13:02.3735441Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_mask_rcnn
2022-05-18T04:13:02.3735756Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_roi_heads
2022-05-18T04:13:02.3736081Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_rpn
2022-05-18T04:13:02.3736848Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/detection/rpn.py:259: TracerWarning: Iterating over a tensor might cause the trace to be incorrect. Passing a tensor of different shape won't change the number of iterations executed (and might lead to errors or silently give incorrect results).
2022-05-18T04:13:02.3737410Z     for boxes, scores, lvl, img_shape in zip(proposals, objectness_prob, levels, image_shapes):
2022-05-18T04:13:02.3737583Z 
2022-05-18T04:13:02.3737745Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_faster_rcnn
2022-05-18T04:13:02.3738078Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_mask_rcnn
2022-05-18T04:13:02.3738958Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/ops/poolers.py:178: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:13:02.3739457Z     max_x = max(shape[0], max_x)
2022-05-18T04:13:02.3739578Z 
2022-05-18T04:13:02.3739725Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_faster_rcnn
2022-05-18T04:13:02.3740059Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_mask_rcnn
2022-05-18T04:13:02.3740860Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/ops/poolers.py:179: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:13:02.3741357Z     max_y = max(shape[1], max_y)
2022-05-18T04:13:02.3741475Z 
2022-05-18T04:13:02.3741620Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_faster_rcnn
2022-05-18T04:13:02.3742005Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_mask_rcnn
2022-05-18T04:13:02.3742350Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_multi_scale_roi_align
2022-05-18T04:13:02.3743154Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/ops/poolers.py:163: TracerWarning: Converting a tensor to a Python float might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:13:02.3743654Z     approx_scale = float(s1) / float(s2)
2022-05-18T04:13:02.3743771Z 
2022-05-18T04:13:02.3743931Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_faster_rcnn
2022-05-18T04:13:02.3744268Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_mask_rcnn
2022-05-18T04:13:02.3744614Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_multi_scale_roi_align
2022-05-18T04:13:02.3745556Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/ops/poolers.py:164: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:13:02.3746111Z     scale = 2 ** float(torch.tensor(approx_scale).log2().round())
2022-05-18T04:13:02.3746265Z 
2022-05-18T04:13:02.3746423Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_faster_rcnn
2022-05-18T04:13:02.3746758Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_mask_rcnn
2022-05-18T04:13:02.3747104Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_multi_scale_roi_align
2022-05-18T04:13:02.3747894Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/ops/poolers.py:164: TracerWarning: Converting a tensor to a Python float might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:13:02.3748426Z     scale = 2 ** float(torch.tensor(approx_scale).log2().round())
2022-05-18T04:13:02.3748579Z 
2022-05-18T04:13:02.3748737Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_faster_rcnn
2022-05-18T04:13:02.3749070Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_mask_rcnn
2022-05-18T04:13:02.3749402Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_multi_scale_roi_align
2022-05-18T04:13:02.3750308Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/ops/poolers.py:185: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:13:02.3750953Z     lvl_min = -torch.log2(torch.tensor(scales[0], dtype=torch.float32)).item()
2022-05-18T04:13:02.3751123Z 
2022-05-18T04:13:02.3751283Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_faster_rcnn
2022-05-18T04:13:02.3751616Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_mask_rcnn
2022-05-18T04:13:02.3751945Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_multi_scale_roi_align
2022-05-18T04:13:02.3752794Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/ops/poolers.py:185: TracerWarning: Converting a tensor to a Python number might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:13:02.3753410Z     lvl_min = -torch.log2(torch.tensor(scales[0], dtype=torch.float32)).item()
2022-05-18T04:13:02.3753580Z 
2022-05-18T04:13:02.3753738Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_faster_rcnn
2022-05-18T04:13:02.3754057Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_mask_rcnn
2022-05-18T04:13:02.3754400Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_multi_scale_roi_align
2022-05-18T04:13:02.3755263Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/ops/poolers.py:186: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:13:02.3755912Z     lvl_max = -torch.log2(torch.tensor(scales[-1], dtype=torch.float32)).item()
2022-05-18T04:13:02.3756085Z 
2022-05-18T04:13:02.3756231Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_faster_rcnn
2022-05-18T04:13:02.3756564Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_mask_rcnn
2022-05-18T04:13:02.3756909Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_multi_scale_roi_align
2022-05-18T04:13:02.3757714Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/ops/poolers.py:186: TracerWarning: Converting a tensor to a Python number might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:13:02.3758333Z     lvl_max = -torch.log2(torch.tensor(scales[-1], dtype=torch.float32)).item()
2022-05-18T04:13:02.3758493Z 
2022-05-18T04:13:02.3758652Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_faster_rcnn
2022-05-18T04:13:02.3758988Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_mask_rcnn
2022-05-18T04:13:02.3759334Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_multi_scale_roi_align
2022-05-18T04:13:02.3759658Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_roi_heads
2022-05-18T04:13:02.3760512Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/ops/poolers.py:79: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:13:02.3761163Z     target_lvls = torch.floor(self.lvl0 + torch.log2(s / self.s0) + torch.tensor(self.eps, dtype=s.dtype))
2022-05-18T04:13:02.3761357Z 
2022-05-18T04:13:02.3761521Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_faster_rcnn
2022-05-18T04:13:02.3761856Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_mask_rcnn
2022-05-18T04:13:02.3762186Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_multi_scale_roi_align
2022-05-18T04:13:02.3762524Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_roi_heads
2022-05-18T04:13:02.3763281Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/ops/poolers.py:239: TracerWarning: Using len to get tensor shape might cause the trace to be incorrect. Recommended usage would be tensor.shape[0]. Passing a tensor of different shape might lead to errors or silently give incorrect results.
2022-05-18T04:13:02.3763742Z     num_rois = len(rois)
2022-05-18T04:13:02.3763843Z 
2022-05-18T04:13:02.3764003Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_faster_rcnn
2022-05-18T04:13:02.3764334Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_mask_rcnn
2022-05-18T04:13:02.3764716Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_multi_scale_roi_align
2022-05-18T04:13:02.3765056Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_roi_align
2022-05-18T04:13:02.3765379Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_roi_align_aligned
2022-05-18T04:13:02.3765712Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_roi_heads
2022-05-18T04:13:02.3766037Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_roi_pool
2022-05-18T04:13:02.3766822Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/ops/_utils.py:33: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:13:02.3767455Z     assert boxes.size(1) == 5, 'The boxes tensor shape is not correct as Tensor[K, 5]'
2022-05-18T04:13:02.3767629Z 
2022-05-18T04:13:02.3767788Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_faster_rcnn
2022-05-18T04:13:02.3768119Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_mask_rcnn
2022-05-18T04:13:02.3768434Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_roi_heads
2022-05-18T04:13:02.3769318Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/detection/transform.py:275: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:13:02.3769895Z     for s, s_orig in zip(new_size, original_size)
2022-05-18T04:13:02.3770033Z 
2022-05-18T04:13:02.3770194Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_faster_rcnn
2022-05-18T04:13:02.3770527Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_mask_rcnn
2022-05-18T04:13:02.3770846Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_roi_heads
2022-05-18T04:13:02.3771579Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/detection/transform.py:275: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor).
2022-05-18T04:13:02.3772064Z     for s, s_orig in zip(new_size, original_size)
2022-05-18T04:13:02.3772247Z 
2022-05-18T04:13:02.3772405Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_faster_rcnn
2022-05-18T04:13:02.3772740Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_index_put_slice_index
2022-05-18T04:13:02.3773086Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_mask_rcnn
2022-05-18T04:13:02.3773414Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_roi_heads
2022-05-18T04:13:02.3773734Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_rpn
2022-05-18T04:13:02.3774076Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_tensor_index_advanced_indexing
2022-05-18T04:13:02.3774471Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_tensor_index_advanced_indexing_consecutive
2022-05-18T04:13:02.3775037Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_tensor_index_advanced_indexing_ellipsis
2022-05-18T04:13:02.3776031Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/symbolic_opset9.py:4017: UserWarning: Exporting aten::index operator of advanced indexing in opset 12 is achieved by combination of multiple ONNX operators, including Reshape, Transpose, Concat, and Gather. If indices include negative values, the exported graph will produce incorrect results.
2022-05-18T04:13:02.3776613Z     + "If indices include negative values, the exported graph will produce incorrect results."
2022-05-18T04:13:02.3776802Z 
2022-05-18T04:13:02.3776962Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_faster_rcnn
2022-05-18T04:13:02.3777295Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_mask_rcnn
2022-05-18T04:13:02.3777629Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_roi_heads
2022-05-18T04:13:02.3777940Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_rpn
2022-05-18T04:13:02.3778833Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/symbolic_opset9.py:757: UserWarning: This model contains a squeeze operation on dimension 1 on an input with unknown shape. Note that if the size of dimension 1 of the input is not 1, the ONNX model will return an error. Opset version 11 supports squeezing on non-singleton dimensions, it is recommended to export this model using opset version 11 or higher.
2022-05-18T04:13:02.3779375Z     + "version 11 or higher."
2022-05-18T04:13:02.3779492Z 
2022-05-18T04:13:02.3779650Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_faster_rcnn
2022-05-18T04:13:02.3779967Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_mask_rcnn
2022-05-18T04:13:02.3780609Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/utils.py:1522: UserWarning: No names were found for specified dynamic axes of provided input.Automatically generated names will be applied to each dynamic axes of input images_tensors
2022-05-18T04:13:02.3780992Z     key
2022-05-18T04:13:02.3781084Z 
2022-05-18T04:13:02.3781247Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_faster_rcnn
2022-05-18T04:13:02.3781867Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/utils.py:1522: UserWarning: No names were found for specified dynamic axes of provided input.Automatically generated names will be applied to each dynamic axes of input outputs
2022-05-18T04:13:02.3782240Z     key
2022-05-18T04:13:02.3782334Z 
2022-05-18T04:13:02.3782496Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_faster_rcnn
2022-05-18T04:13:02.3782830Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_mask_rcnn
2022-05-18T04:13:02.3783403Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:784: DeprecationWarning: BILINEAR is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.BILINEAR instead.
2022-05-18T04:13:02.3783825Z     image = Image.open(path).convert("RGB").resize(size, Image.BILINEAR)
2022-05-18T04:13:02.3783993Z 
2022-05-18T04:13:02.3784199Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_floor_div
2022-05-18T04:13:02.3784990Z   /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:426: UserWarning: floor_divide is deprecated, and will be removed in a future version of pytorch. It currently rounds toward 0 (like the 'trunc' function NOT 'floor'). This results in incorrect rounding for negative values.
2022-05-18T04:13:02.3785830Z   To keep the current behavior, use torch.div(a, b, rounding_mode='trunc'), or for actual floor division, use torch.div(a, b, rounding_mode='floor'). (Triggered internally at  /var/lib/jenkins/workspace/aten/src/ATen/native/BinaryOps.cpp:599.)
2022-05-18T04:13:02.3786220Z     return callable(*args, **kwargs)
2022-05-18T04:13:02.3786346Z 
2022-05-18T04:13:02.3786506Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_floor_div
2022-05-18T04:13:02.3787500Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2269: UserWarning: __floordiv__ is deprecated, and its behavior will change in a future version of pytorch. It currently rounds toward 0 (like the 'trunc' function NOT 'floor'). This results in incorrect rounding for negative values. To keep the current behavior, use torch.div(a, b, rounding_mode='trunc'), or for actual floor division, use torch.div(a, b, rounding_mode='floor').
2022-05-18T04:13:02.3788058Z     x // 3,
2022-05-18T04:13:02.3788157Z 
2022-05-18T04:13:02.3788303Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_floor_div
2022-05-18T04:13:02.3789251Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2270: UserWarning: __floordiv__ is deprecated, and its behavior will change in a future version of pytorch. It currently rounds toward 0 (like the 'trunc' function NOT 'floor'). This results in incorrect rounding for negative values. To keep the current behavior, use torch.div(a, b, rounding_mode='trunc'), or for actual floor division, use torch.div(a, b, rounding_mode='floor').
2022-05-18T04:13:02.3789810Z     x // 2.0,
2022-05-18T04:13:02.3789913Z 
2022-05-18T04:13:02.3790069Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_floor_div
2022-05-18T04:13:02.3791012Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2271: UserWarning: __floordiv__ is deprecated, and its behavior will change in a future version of pytorch. It currently rounds toward 0 (like the 'trunc' function NOT 'floor'). This results in incorrect rounding for negative values. To keep the current behavior, use torch.div(a, b, rounding_mode='trunc'), or for actual floor division, use torch.div(a, b, rounding_mode='floor').
2022-05-18T04:13:02.3791586Z     x.to(dtype=torch.float64) // 3,
2022-05-18T04:13:02.3791701Z 
2022-05-18T04:13:02.3791860Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_floor_div
2022-05-18T04:13:02.3792809Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2272: UserWarning: __floordiv__ is deprecated, and its behavior will change in a future version of pytorch. It currently rounds toward 0 (like the 'trunc' function NOT 'floor'). This results in incorrect rounding for negative values. To keep the current behavior, use torch.div(a, b, rounding_mode='trunc'), or for actual floor division, use torch.div(a, b, rounding_mode='floor').
2022-05-18T04:13:02.3793386Z     x.to(dtype=torch.float64) // 2.0,
2022-05-18T04:13:02.3793516Z 
2022-05-18T04:13:02.3793671Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_floor_div
2022-05-18T04:13:02.3794612Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2273: UserWarning: __floordiv__ is deprecated, and its behavior will change in a future version of pytorch. It currently rounds toward 0 (like the 'trunc' function NOT 'floor'). This results in incorrect rounding for negative values. To keep the current behavior, use torch.div(a, b, rounding_mode='trunc'), or for actual floor division, use torch.div(a, b, rounding_mode='floor').
2022-05-18T04:13:02.3795220Z     x.to(dtype=torch.int64) // 3,
2022-05-18T04:13:02.3795344Z 
2022-05-18T04:13:02.3795502Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_floor_div
2022-05-18T04:13:02.3796441Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2274: UserWarning: __floordiv__ is deprecated, and its behavior will change in a future version of pytorch. It currently rounds toward 0 (like the 'trunc' function NOT 'floor'). This results in incorrect rounding for negative values. To keep the current behavior, use torch.div(a, b, rounding_mode='trunc'), or for actual floor division, use torch.div(a, b, rounding_mode='floor').
2022-05-18T04:13:02.3797014Z     x.to(dtype=torch.int64) // 2.0,
2022-05-18T04:13:02.3797138Z 
2022-05-18T04:13:02.3797292Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_floor_div
2022-05-18T04:13:02.3798252Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2275: UserWarning: __floordiv__ is deprecated, and its behavior will change in a future version of pytorch. It currently rounds toward 0 (like the 'trunc' function NOT 'floor'). This results in incorrect rounding for negative values. To keep the current behavior, use torch.div(a, b, rounding_mode='trunc'), or for actual floor division, use torch.div(a, b, rounding_mode='floor').
2022-05-18T04:13:02.3798836Z     x // (y + 1.0).to(dtype=torch.int64),
2022-05-18T04:13:02.3798963Z 
2022-05-18T04:13:02.3799120Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_floor_div
2022-05-18T04:13:02.3800357Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2276: UserWarning: __floordiv__ is deprecated, and its behavior will change in a future version of pytorch. It currently rounds toward 0 (like the 'trunc' function NOT 'floor'). This results in incorrect rounding for negative values. To keep the current behavior, use torch.div(a, b, rounding_mode='trunc'), or for actual floor division, use torch.div(a, b, rounding_mode='floor').
2022-05-18T04:13:02.3800898Z     x // y,
2022-05-18T04:13:02.3800998Z 
2022-05-18T04:13:02.3801159Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_floor_div
2022-05-18T04:13:02.3802094Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2277: UserWarning: __floordiv__ is deprecated, and its behavior will change in a future version of pytorch. It currently rounds toward 0 (like the 'trunc' function NOT 'floor'). This results in incorrect rounding for negative values. To keep the current behavior, use torch.div(a, b, rounding_mode='trunc'), or for actual floor division, use torch.div(a, b, rounding_mode='floor').
2022-05-18T04:13:02.3802700Z     x.to(dtype=torch.float64) // y.to(dtype=torch.int64),
2022-05-18T04:13:02.3802857Z 
2022-05-18T04:13:02.3803015Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_floor_div
2022-05-18T04:13:02.3803959Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2278: UserWarning: __floordiv__ is deprecated, and its behavior will change in a future version of pytorch. It currently rounds toward 0 (like the 'trunc' function NOT 'floor'). This results in incorrect rounding for negative values. To keep the current behavior, use torch.div(a, b, rounding_mode='trunc'), or for actual floor division, use torch.div(a, b, rounding_mode='floor').
2022-05-18T04:13:02.3804564Z     x.to(dtype=torch.float64) // y.to(dtype=torch.float64),
2022-05-18T04:13:02.3804717Z 
2022-05-18T04:13:02.3804860Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_floor_div
2022-05-18T04:13:02.3805800Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2279: UserWarning: __floordiv__ is deprecated, and its behavior will change in a future version of pytorch. It currently rounds toward 0 (like the 'trunc' function NOT 'floor'). This results in incorrect rounding for negative values. To keep the current behavior, use torch.div(a, b, rounding_mode='trunc'), or for actual floor division, use torch.div(a, b, rounding_mode='floor').
2022-05-18T04:13:02.3806433Z     x.to(dtype=torch.int64) // y.to(dtype=torch.int64),
2022-05-18T04:13:02.3806578Z 
2022-05-18T04:13:02.3806738Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_floor_div
2022-05-18T04:13:02.3807680Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2280: UserWarning: __floordiv__ is deprecated, and its behavior will change in a future version of pytorch. It currently rounds toward 0 (like the 'trunc' function NOT 'floor'). This results in incorrect rounding for negative values. To keep the current behavior, use torch.div(a, b, rounding_mode='trunc'), or for actual floor division, use torch.div(a, b, rounding_mode='floor').
2022-05-18T04:13:02.3808245Z     x.to(dtype=torch.int64) // y,
2022-05-18T04:13:02.3808356Z 
2022-05-18T04:13:02.3808513Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_floordiv
2022-05-18T04:13:02.3809486Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2301: UserWarning: __floordiv__ is deprecated, and its behavior will change in a future version of pytorch. It currently rounds toward 0 (like the 'trunc' function NOT 'floor'). This results in incorrect rounding for negative values. To keep the current behavior, use torch.div(a, b, rounding_mode='trunc'), or for actual floor division, use torch.div(a, b, rounding_mode='floor').
2022-05-18T04:13:02.3810068Z     return x.new_zeros(x.size(2) // x.size(1))
2022-05-18T04:13:02.3810201Z 
2022-05-18T04:13:02.3810360Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_groupnorm
2022-05-18T04:13:02.3810693Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_groupnorm_noaffine
2022-05-18T04:13:02.3811637Z   /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:2464: UserWarning: __floordiv__ is deprecated, and its behavior will change in a future version of pytorch. It currently rounds toward 0 (like the 'trunc' function NOT 'floor'). This results in incorrect rounding for negative values. To keep the current behavior, use torch.div(a, b, rounding_mode='trunc'), or for actual floor division, use torch.div(a, b, rounding_mode='floor').
2022-05-18T04:13:02.3812293Z     _verify_batch_size([input.size(0) * input.size(1) // num_groups, num_groups] + list(input.size()[2:]))
2022-05-18T04:13:02.3812481Z 
2022-05-18T04:13:02.3812602Z test/onnx/test_pytorch_onnx_onnxruntime.py: 52 warnings
2022-05-18T04:13:02.3813492Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/symbolic_opset9.py:3097: UserWarning: Exporting a model to ONNX with a batch_size other than 1, with a variable length with GRU can cause an error when running the ONNX model with a different batch size. Make sure to save the model with a batch size of 1, or define the initial states (h0/c0) as inputs of the model. 
2022-05-18T04:13:02.3814035Z     + "or define the initial states (h0/c0) as inputs of the model. "
2022-05-18T04:13:02.3814184Z 
2022-05-18T04:13:02.3814303Z test/onnx/test_pytorch_onnx_onnxruntime.py: 32 warnings
2022-05-18T04:13:02.3815193Z   /opt/conda/lib/python3.7/site-packages/torch/nn/modules/rnn.py:918: TracerWarning: Converting a tensor to a Python integer might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:13:02.3815684Z     max_batch_size = int(max_batch_size)
2022-05-18T04:13:02.3815813Z 
2022-05-18T04:13:02.3815992Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_hann_window_default_values
2022-05-18T04:13:02.3816784Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:11822: TracerWarning: Converting a tensor to a Python integer might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:13:02.3817403Z     return torch.add(x, F.relu(torch.hann_window(self.window_length)))
2022-05-18T04:13:02.3817568Z 
2022-05-18T04:13:02.3817746Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_hann_window_not_periodic
2022-05-18T04:13:02.3818549Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:11800: TracerWarning: Converting a tensor to a Python integer might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:13:02.3819064Z     self.window_length, periodic=False, dtype=torch.float
2022-05-18T04:13:02.3819203Z 
2022-05-18T04:13:02.3819375Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_hann_window_periodic
2022-05-18T04:13:02.3820172Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:11778: TracerWarning: Converting a tensor to a Python integer might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:13:02.3820736Z     self.window_length, periodic=True, dtype=torch.float
2022-05-18T04:13:02.3820893Z 
2022-05-18T04:13:02.3821065Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_heatmaps_to_keypoints
2022-05-18T04:13:02.3822063Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/detection/roi_heads.py:269: UserWarning: __floordiv__ is deprecated, and its behavior will change in a future version of pytorch. It currently rounds toward 0 (like the 'trunc' function NOT 'floor'). This results in incorrect rounding for negative values. To keep the current behavior, use torch.div(a, b, rounding_mode='trunc'), or for actual floor division, use torch.div(a, b, rounding_mode='floor').
2022-05-18T04:13:02.3822687Z     y_int = (pos - x_int) // w
2022-05-18T04:13:02.3822806Z 
2022-05-18T04:13:02.3822963Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_if_fold
2022-05-18T04:13:02.3823756Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:7859: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:13:02.3824307Z     if y.numel() > 1:
2022-05-18T04:13:02.3824419Z 
2022-05-18T04:13:02.3824561Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_if_fold
2022-05-18T04:13:02.3825423Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:7928: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:13:02.3825909Z     if y.numel() != 0 and y.dim() == 2:
2022-05-18T04:13:02.3826034Z 
2022-05-18T04:13:02.3826195Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_if_fold
2022-05-18T04:13:02.3826973Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:7940: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:13:02.3827436Z     if x.numel() == y.numel():
2022-05-18T04:13:02.3827554Z 
2022-05-18T04:13:02.3827709Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_if_fold
2022-05-18T04:13:02.3828485Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:7952: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:13:02.3829010Z     if x.numel() != y.numel():
2022-05-18T04:13:02.3829127Z 
2022-05-18T04:13:02.3829302Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_index_add_dim_size_differ
2022-05-18T04:13:02.3829650Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_index_add_dynamic_axes
2022-05-18T04:13:02.3830004Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_index_add_if
2022-05-18T04:13:02.3830348Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_index_add_in_loop
2022-05-18T04:13:02.3830682Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_index_add_normal
2022-05-18T04:13:02.3831286Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/symbolic_opset9.py:4597: UserWarning: Warning: ONNX export does not support duplicated values in 'index' field, this will cause the ONNX model to be incorrect.
2022-05-18T04:13:02.3831794Z     "Warning: ONNX export does not support duplicated values in 'index' field, "
2022-05-18T04:13:02.3831968Z 
2022-05-18T04:13:02.3832161Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_index_copy
2022-05-18T04:13:02.3832766Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:3991: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:13:02.3833284Z     index = torch.tensor([2, 0])
2022-05-18T04:13:02.3833408Z 
2022-05-18T04:13:02.3833567Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_index_fill
2022-05-18T04:13:02.3834189Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:3981: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:13:02.3834702Z     index = torch.tensor([2, 0])
2022-05-18T04:13:02.3834823Z 
2022-05-18T04:13:02.3834967Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_index_mask
2022-05-18T04:13:02.3835684Z   /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:426: UserWarning: indexing with dtype torch.uint8 is now deprecated, please use a dtype torch.bool instead. (Triggered internally at  /var/lib/jenkins/workspace/aten/src/ATen/native/IndexingUtils.h:28.)
2022-05-18T04:13:02.3836134Z     return callable(*args, **kwargs)
2022-05-18T04:13:02.3836265Z 
2022-05-18T04:13:02.3836426Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_index_mask
2022-05-18T04:13:02.3836947Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:1111: UserWarning: indexing with dtype torch.uint8 is now deprecated, please use a dtype torch.bool instead. (Triggered internally at  /var/lib/jenkins/workspace/aten/src/ATen/native/IndexingUtils.h:28.)
2022-05-18T04:13:02.3837404Z     return input[torch.tensor([0, 1, 0], dtype=torch.uint8)]
2022-05-18T04:13:02.3837556Z 
2022-05-18T04:13:02.3837715Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_index_mask
2022-05-18T04:13:02.3838328Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:1111: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:13:02.3838913Z     return input[torch.tensor([0, 1, 0], dtype=torch.uint8)]
2022-05-18T04:13:02.3839062Z 
2022-05-18T04:13:02.3839205Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_index_mask
2022-05-18T04:13:02.3839813Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:1118: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:13:02.3840363Z     return input[torch.tensor([0, 1, 0], dtype=torch.bool)]
2022-05-18T04:13:02.3840512Z 
2022-05-18T04:13:02.3840680Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_index_put_ellipsis
2022-05-18T04:13:02.3841327Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2966: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:13:02.3841836Z     x[..., torch.tensor([2, 1, 3]), 2:4] += update
2022-05-18T04:13:02.3841966Z 
2022-05-18T04:13:02.3842135Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_index_put_ellipsis
2022-05-18T04:13:02.3842753Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2975: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:13:02.3843283Z     x[2, ..., torch.tensor([2, 1, 3]), 2:4] += update
2022-05-18T04:13:02.3843415Z 
2022-05-18T04:13:02.3843575Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_index_put_if
2022-05-18T04:13:02.3843903Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_index_put_if_3
2022-05-18T04:13:02.3844247Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_index_put_if_4
2022-05-18T04:13:02.3844586Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_index_put_if_5
2022-05-18T04:13:02.3844936Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_index_put_inplace_ops
2022-05-18T04:13:02.3845576Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/utils.py:1522: UserWarning: No names were found for specified dynamic axes of provided input.Automatically generated names will be applied to each dynamic axes of input random_data
2022-05-18T04:13:02.3845960Z     key
2022-05-18T04:13:02.3846055Z 
2022-05-18T04:13:02.3846216Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_index_put_if
2022-05-18T04:13:02.3846546Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_index_put_if_3
2022-05-18T04:13:02.3846886Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_index_put_if_4
2022-05-18T04:13:02.3847225Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_index_put_if_5
2022-05-18T04:13:02.3847866Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/utils.py:1522: UserWarning: No names were found for specified dynamic axes of provided input.Automatically generated names will be applied to each dynamic axes of input empty_tensor
2022-05-18T04:13:02.3848233Z     key
2022-05-18T04:13:02.3848329Z 
2022-05-18T04:13:02.3848490Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_index_put_if_2
2022-05-18T04:13:02.3849120Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/utils.py:1522: UserWarning: No names were found for specified dynamic axes of provided input.Automatically generated names will be applied to each dynamic axes of input data
2022-05-18T04:13:02.3849535Z     key
2022-05-18T04:13:02.3849629Z 
2022-05-18T04:13:02.3849775Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_index_put_if_2
2022-05-18T04:13:02.3850401Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/utils.py:1522: UserWarning: No names were found for specified dynamic axes of provided input.Automatically generated names will be applied to each dynamic axes of input state
2022-05-18T04:13:02.3850772Z     key
2022-05-18T04:13:02.3850865Z 
2022-05-18T04:13:02.3851034Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_index_put_singular
2022-05-18T04:13:02.3851644Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2848: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:13:02.3852170Z     mask[indices] = torch.tensor(5.5)
2022-05-18T04:13:02.3852299Z 
2022-05-18T04:13:02.3852503Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_index_put_slice_index
2022-05-18T04:13:02.3853127Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2870: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:13:02.3853655Z     x[1:2, 1:3, torch.tensor([1])] += update
2022-05-18T04:13:02.3853783Z 
2022-05-18T04:13:02.3853939Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_index_put_slice_index
2022-05-18T04:13:02.3854709Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2879: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:13:02.3855251Z     x[torch.tensor([0, 2]), torch.tensor([1, 2])] += update
2022-05-18T04:13:02.3855392Z 
2022-05-18T04:13:02.3855563Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_index_put_slice_index
2022-05-18T04:13:02.3856183Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2888: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:13:02.3856694Z     x[torch.tensor([0, 2]), 1:2] += update
2022-05-18T04:13:02.3856821Z 
2022-05-18T04:13:02.3856993Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_index_put_slice_index
2022-05-18T04:13:02.3857612Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2897: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:13:02.3858138Z     x[torch.tensor([0, 2]), 2] += update
2022-05-18T04:13:02.3858264Z 
2022-05-18T04:13:02.3858432Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_index_put_slice_index
2022-05-18T04:13:02.3859033Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2906: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:13:02.3859610Z     x[1:3, torch.tensor([0, 2]), 2] += update
2022-05-18T04:13:02.3859737Z 
2022-05-18T04:13:02.3859924Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_index_select_constant_scaler_index
2022-05-18T04:13:02.3860556Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:4018: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:13:02.3861102Z     return torch.index_select(x, 1, torch.tensor(index))
2022-05-18T04:13:02.3861249Z 
2022-05-18T04:13:02.3861412Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_initializer_sequence
2022-05-18T04:13:02.3861771Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_onnx_proto_checker
2022-05-18T04:13:02.3862169Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_script_custom_class_error
2022-05-18T04:13:02.3863130Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/utils.py:56: UserWarning: You are exporting the model to ONNX while in training mode with 'train' parameter not specified. The model will default to inference mode export. If you wish to export a training amenable ONNX model, specify training=TrainingMode.TRAINING or training=TrainingMode.PRESERVE (to preserve the original model state) in torch.onnx.export().
2022-05-18T04:13:02.3863751Z     "You are exporting the model to ONNX while in training mode with "
2022-05-18T04:13:02.3863919Z 
2022-05-18T04:13:02.3864081Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_inplace_list
2022-05-18T04:13:02.3864438Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_interpolate_no_shape
2022-05-18T04:13:02.3864783Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_list_pass
2022-05-18T04:13:02.3865170Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_set_
2022-05-18T04:13:02.3865514Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_split_size_with_slice
2022-05-18T04:13:02.3865877Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_symbolic_shape_inference
2022-05-18T04:13:02.3866513Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/utils.py:1522: UserWarning: No names were found for specified dynamic axes of provided input.Automatically generated names will be applied to each dynamic axes of input y
2022-05-18T04:13:02.3866873Z     key
2022-05-18T04:13:02.3866968Z 
2022-05-18T04:13:02.3867152Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_instancenorm1d_norunningstats
2022-05-18T04:13:02.3867539Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_instancenorm2d_norunningstats
2022-05-18T04:13:02.3867922Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_instancenorm3d_norunningstats
2022-05-18T04:13:02.3868292Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_instancenorm_eval_mode_train_layer
2022-05-18T04:13:02.3869001Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/symbolic_helper.py:1139: UserWarning: ONNX export mode is set to inference mode, but operator instance_norm is set to training  mode. The operators will be exported in training , as specified by the functional operator.
2022-05-18T04:13:02.3869454Z     + ", as specified by the functional operator."
2022-05-18T04:13:02.3869599Z 
2022-05-18T04:13:02.3869785Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_instancenorm1d_norunningstats
2022-05-18T04:13:02.3870221Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_instancenorm2d_norunningstats
2022-05-18T04:13:02.3870597Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_instancenorm3d_norunningstats
2022-05-18T04:13:02.3870982Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_instancenorm_eval_mode_train_layer
2022-05-18T04:13:02.3871355Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_instancenorm_training
2022-05-18T04:13:02.3871714Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_instancenorm_training_mode_fix_layer
2022-05-18T04:13:02.3872515Z   /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:2397: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:13:02.3872992Z     if size_prods == 1:
2022-05-18T04:13:02.3873107Z 
2022-05-18T04:13:02.3873295Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_interpolate_adaptive_pooling_error
2022-05-18T04:13:02.3873918Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/symbolic_helper.py:432: UserWarning: ONNX export failed on adaptive_avg_pool1d because output size that are not factor of input size not supported
2022-05-18T04:13:02.3874331Z     "ONNX export failed on " + op + " because " + msg + " not supported"
2022-05-18T04:13:02.3874487Z 
2022-05-18T04:13:02.3874646Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_kldiv_loss
2022-05-18T04:13:02.3874980Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_kldiv_loss
2022-05-18T04:13:02.3875295Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_kldiv_loss
2022-05-18T04:13:02.3875627Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_kldiv_loss
2022-05-18T04:13:02.3875963Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_kldiv_loss
2022-05-18T04:13:02.3876276Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_kldiv_loss
2022-05-18T04:13:02.3877062Z   /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:2853: UserWarning: reduction: 'mean' divides the total loss by both the batch size and the support size.'batchmean' divides only by the batch size, and aligns with the KL div math definition.'mean' will be changed to behave the same as 'batchmean' in the next major release.
2022-05-18T04:13:02.3877535Z     warnings.warn(
2022-05-18T04:13:02.3877648Z 
2022-05-18T04:13:02.3877807Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_kldiv_loss
2022-05-18T04:13:02.3878574Z   /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:2854: UserWarning: reduction: 'mean' divides the total loss by both the batch size and the support size.'batchmean' divides only by the batch size, and aligns with the KL div math definition.'mean' will be changed to behave the same as 'batchmean' in the next major release.
2022-05-18T04:13:02.3879196Z     "reduction: 'mean' divides the total loss by both the batch size and the support size."
2022-05-18T04:13:02.3879379Z 
2022-05-18T04:13:02.3879539Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_kldiv_loss
2022-05-18T04:13:02.3880066Z   /opt/conda/lib/python3.7/site-packages/torch/nn/_reduction.py:42: UserWarning: size_average and reduce args will be deprecated, please use reduction='sum' instead.
2022-05-18T04:13:02.3880413Z     warnings.warn(warning.format(ret))
2022-05-18T04:13:02.3880548Z 
2022-05-18T04:13:02.3880692Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_linspace
2022-05-18T04:13:02.3881477Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2587: TracerWarning: Converting a tensor to a Python integer might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:13:02.3882026Z     return torch.linspace(start, end, steps)
2022-05-18T04:13:02.3882166Z 
2022-05-18T04:13:02.3882346Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_linspace_negative_start
2022-05-18T04:13:02.3883147Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2598: TracerWarning: Converting a tensor to a Python integer might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:13:02.3883637Z     return torch.linspace(start, end, steps)
2022-05-18T04:13:02.3883777Z 
2022-05-18T04:13:02.3883937Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_lower_tuple
2022-05-18T04:13:02.3884754Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:9174: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:13:02.3885286Z     if f.size(0) != input1.size(-1):
2022-05-18T04:13:02.3885414Z 
2022-05-18T04:13:02.3885561Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_lower_tuple_3
2022-05-18T04:13:02.3886355Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:9215: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:13:02.3886830Z     if c.shape[0] == e.shape[0]:
2022-05-18T04:13:02.3886950Z 
2022-05-18T04:13:02.3887074Z test/onnx/test_pytorch_onnx_onnxruntime.py: 60 warnings
2022-05-18T04:13:02.3887864Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/symbolic_opset9.py:3097: UserWarning: Exporting a model to ONNX with a batch_size other than 1, with a variable length with LSTM can cause an error when running the ONNX model with a different batch size. Make sure to save the model with a batch size of 1, or define the initial states (h0/c0) as inputs of the model. 
2022-05-18T04:13:02.3888399Z     + "or define the initial states (h0/c0) as inputs of the model. "
2022-05-18T04:13:02.3888555Z 
2022-05-18T04:13:02.3888723Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_lstm_proj_no_hidden
2022-05-18T04:13:02.3889256Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/symbolic_helper.py:432: UserWarning: ONNX export failed on LSTM because LSTMs with projections not supported
2022-05-18T04:13:02.3889639Z     "ONNX export failed on " + op + " because " + msg + " not supported"
2022-05-18T04:13:02.3889799Z 
2022-05-18T04:13:02.3889907Z test/onnx/test_pytorch_onnx_onnxruntime.py: 32 warnings
2022-05-18T04:13:02.3890655Z   /opt/conda/lib/python3.7/site-packages/torch/nn/modules/rnn.py:728: TracerWarning: Converting a tensor to a Python integer might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:13:02.3891150Z     max_batch_size = int(max_batch_size)
2022-05-18T04:13:02.3891280Z 
2022-05-18T04:13:02.3891403Z test/onnx/test_pytorch_onnx_onnxruntime.py: 32 warnings
2022-05-18T04:13:02.3892141Z   /opt/conda/lib/python3.7/site-packages/torch/nn/modules/rnn.py:677: TracerWarning: Converting a tensor to a Python integer might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:13:02.3892662Z     mini_batch = int(batch_sizes[0])
2022-05-18T04:13:02.3892787Z 
2022-05-18T04:13:02.3892947Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_mask_rcnn
2022-05-18T04:13:02.3893291Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_paste_mask_in_image
2022-05-18T04:13:02.3894177Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/detection/roi_heads.py:372: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:13:02.3894925Z     return torch.tensor(M + 2 * padding).to(torch.float32) / torch.tensor(M).to(torch.float32)
2022-05-18T04:13:02.3895112Z 
2022-05-18T04:13:02.3895274Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_mask_rcnn
2022-05-18T04:13:02.3895624Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_paste_mask_in_image
2022-05-18T04:13:02.3896429Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/detection/roi_heads.py:372: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor).
2022-05-18T04:13:02.3896969Z     return torch.tensor(M + 2 * padding).to(torch.float32) / torch.tensor(M).to(torch.float32)
2022-05-18T04:13:02.3897137Z 
2022-05-18T04:13:02.3897295Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_mask_rcnn
2022-05-18T04:13:02.3897928Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/utils.py:1522: UserWarning: No names were found for specified dynamic axes of provided input.Automatically generated names will be applied to each dynamic axes of input boxes
2022-05-18T04:13:02.3898305Z     key
2022-05-18T04:13:02.3898402Z 
2022-05-18T04:13:02.3898557Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_mask_rcnn
2022-05-18T04:13:02.3899173Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/utils.py:1522: UserWarning: No names were found for specified dynamic axes of provided input.Automatically generated names will be applied to each dynamic axes of input labels
2022-05-18T04:13:02.3899549Z     key
2022-05-18T04:13:02.3899644Z 
2022-05-18T04:13:02.3899803Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_mask_rcnn
2022-05-18T04:13:02.3900422Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/utils.py:1522: UserWarning: No names were found for specified dynamic axes of provided input.Automatically generated names will be applied to each dynamic axes of input scores
2022-05-18T04:13:02.3900771Z     key
2022-05-18T04:13:02.3900866Z 
2022-05-18T04:13:02.3901026Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_mask_rcnn
2022-05-18T04:13:02.3901657Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/utils.py:1522: UserWarning: No names were found for specified dynamic axes of provided input.Automatically generated names will be applied to each dynamic axes of input masks
2022-05-18T04:13:02.3902030Z     key
2022-05-18T04:13:02.3902109Z 
2022-05-18T04:13:02.3902271Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_masked_fill
2022-05-18T04:13:02.3902619Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_masked_fill_inplace
2022-05-18T04:13:02.3903440Z   /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:426: UserWarning: masked_fill_ received a mask with dtype torch.uint8, this behavior is now deprecated,please use a mask with dtype torch.bool instead. (Triggered internally at  /var/lib/jenkins/workspace/aten/src/ATen/native/TensorAdvancedIndexing.cpp:1582.)
2022-05-18T04:13:02.3903955Z     return callable(*args, **kwargs)
2022-05-18T04:13:02.3904068Z 
2022-05-18T04:13:02.3904278Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_masked_fill
2022-05-18T04:13:02.3904935Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:6890: UserWarning: masked_fill_ received a mask with dtype torch.uint8, this behavior is now deprecated,please use a mask with dtype torch.bool instead. (Triggered internally at  /var/lib/jenkins/workspace/aten/src/ATen/native/TensorAdvancedIndexing.cpp:1582.)
2022-05-18T04:13:02.3905440Z     return x.masked_fill(mask, 2)
2022-05-18T04:13:02.3905563Z 
2022-05-18T04:13:02.3905725Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_masked_fill
2022-05-18T04:13:02.3906324Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:6889: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:13:02.3906871Z     mask = torch.tensor([[0, 0, 1], [1, 1, 0]], dtype=torch.uint8)
2022-05-18T04:13:02.3907020Z 
2022-05-18T04:13:02.3907183Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_narrow_dynamic
2022-05-18T04:13:02.3908018Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:3972: TracerWarning: Converting a tensor to a Python integer might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:13:02.3908597Z     return torch.narrow(input, 0, 0, input.shape[0] - 1)
2022-05-18T04:13:02.3908747Z 
2022-05-18T04:13:02.3908914Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_nllloss_dynamic_ignore_index
2022-05-18T04:13:02.3909702Z   /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:2638: TracerWarning: Converting a tensor to a Python integer might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:13:02.3910275Z     return torch._C._nn.nll_loss_nd(input, target, weight, _Reduction.get_enum(reduction), ignore_index)
2022-05-18T04:13:02.3910469Z 
2022-05-18T04:13:02.3910626Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_one_hot
2022-05-18T04:13:02.3911409Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:4396: TracerWarning: Converting a tensor to a Python integer might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:13:02.3911917Z     return torch.nn.functional.one_hot(x, num_classes[0])
2022-05-18T04:13:02.3912073Z 
2022-05-18T04:13:02.3912237Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_qat_maxpool2d
2022-05-18T04:13:02.3912888Z   /opt/conda/lib/python3.7/site-packages/torch/ao/quantization/observer.py:178: UserWarning: Please use quant_min and quant_max to specify the range for observers.                     reduce_range will be deprecated in a future release of PyTorch.
2022-05-18T04:13:02.3913342Z     reduce_range will be deprecated in a future release of PyTorch."
2022-05-18T04:13:02.3913508Z 
2022-05-18T04:13:02.3913670Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_qat_maxpool2d
2022-05-18T04:13:02.3914253Z   /opt/conda/lib/python3.7/site-packages/torch/ao/quantization/observer.py:1137: UserWarning: must run observer before calling calculate_qparams.                                    Returning default scale and zero point 
2022-05-18T04:13:02.3914647Z     Returning default scale and zero point "
2022-05-18T04:13:02.3914786Z 
2022-05-18T04:13:02.3914951Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_qat_maxpool2d
2022-05-18T04:13:02.3915798Z   /opt/conda/lib/python3.7/site-packages/torch/nn/quantized/modules/__init__.py:53: TracerWarning: Converting a tensor to a Python float might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:13:02.3916316Z     return torch.quantize_per_tensor(X, float(self.scale),
2022-05-18T04:13:02.3916469Z 
2022-05-18T04:13:02.3916632Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_qat_maxpool2d
2022-05-18T04:13:02.3917435Z   /opt/conda/lib/python3.7/site-packages/torch/nn/quantized/modules/__init__.py:54: TracerWarning: Converting a tensor to a Python integer might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:13:02.3917939Z     int(self.zero_point), self.dtype)
2022-05-18T04:13:02.3918070Z 
2022-05-18T04:13:02.3918224Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_repeat_interleave
2022-05-18T04:13:02.3918880Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:5447: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:13:02.3919402Z     repeats = torch.tensor([4])
2022-05-18T04:13:02.3919525Z 
2022-05-18T04:13:02.3919693Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_repeat_interleave
2022-05-18T04:13:02.3920310Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:5455: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:13:02.3920836Z     repeats = torch.tensor([1, 2])
2022-05-18T04:13:02.3920947Z 
2022-05-18T04:13:02.3921113Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_repeat_interleave
2022-05-18T04:13:02.3921729Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:5463: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:13:02.3922242Z     repeats = torch.tensor([1, 2])
2022-05-18T04:13:02.3922369Z 
2022-05-18T04:13:02.3922530Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_resize_images
2022-05-18T04:13:02.3922857Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_roi_heads
2022-05-18T04:13:02.3923183Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_rpn
2022-05-18T04:13:02.3923813Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/utils.py:1522: UserWarning: No names were found for specified dynamic axes of provided input.Automatically generated names will be applied to each dynamic axes of input input1
2022-05-18T04:13:02.3924190Z     key
2022-05-18T04:13:02.3924271Z 
2022-05-18T04:13:02.3924435Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_roi_align_aligned
2022-05-18T04:13:02.3925085Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/ops/_register_onnx_ops.py:28: UserWarning: ONNX export of ROIAlign with aligned=True does not match PyTorch when using malformed boxes, ONNX forces ROIs to be 1x1 or larger.
2022-05-18T04:13:02.3925621Z     warnings.warn("ONNX export of ROIAlign with aligned=True does not match PyTorch when using malformed boxes,"
2022-05-18T04:13:02.3925830Z 
2022-05-18T04:13:02.3925988Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_roi_heads
2022-05-18T04:13:02.3926303Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_rpn
2022-05-18T04:13:02.3926929Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/utils.py:1522: UserWarning: No names were found for specified dynamic axes of provided input.Automatically generated names will be applied to each dynamic axes of input input2
2022-05-18T04:13:02.3927309Z     key
2022-05-18T04:13:02.3927403Z 
2022-05-18T04:13:02.3927558Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_roi_heads
2022-05-18T04:13:02.3927869Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_rpn
2022-05-18T04:13:02.3928487Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/utils.py:1522: UserWarning: No names were found for specified dynamic axes of provided input.Automatically generated names will be applied to each dynamic axes of input input3
2022-05-18T04:13:02.3928868Z     key
2022-05-18T04:13:02.3928963Z 
2022-05-18T04:13:02.3929158Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_roi_heads
2022-05-18T04:13:02.3929475Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_rpn
2022-05-18T04:13:02.3930093Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/utils.py:1522: UserWarning: No names were found for specified dynamic axes of provided input.Automatically generated names will be applied to each dynamic axes of input input4
2022-05-18T04:13:02.3930462Z     key
2022-05-18T04:13:02.3930555Z 
2022-05-18T04:13:02.3930695Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_roi_heads
2022-05-18T04:13:02.3931020Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_rpn
2022-05-18T04:13:02.3931630Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/utils.py:1522: UserWarning: No names were found for specified dynamic axes of provided input.Automatically generated names will be applied to each dynamic axes of input input5
2022-05-18T04:13:02.3932007Z     key
2022-05-18T04:13:02.3932100Z 
2022-05-18T04:13:02.3932242Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_roi_heads
2022-05-18T04:13:02.3932568Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_rpn
2022-05-18T04:13:02.3933183Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/utils.py:1522: UserWarning: No names were found for specified dynamic axes of provided input.Automatically generated names will be applied to each dynamic axes of input input6
2022-05-18T04:13:02.3933555Z     key
2022-05-18T04:13:02.3933648Z 
2022-05-18T04:13:02.3933788Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_roi_heads
2022-05-18T04:13:02.3934674Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:10666: TracerWarning: Iterating over a tensor might cause the trace to be incorrect. Passing a tensor of different shape won't change the number of iterations executed (and might lead to errors or silently give incorrect results).
2022-05-18T04:13:02.3935496Z     (img.shape[-1], img.shape[-2]) for img in images
2022-05-18T04:13:02.3935647Z 
2022-05-18T04:13:02.3935808Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_roi_heads
2022-05-18T04:13:02.3936531Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:10670: TracerWarning: Iterating over a tensor might cause the trace to be incorrect. Passing a tensor of different shape won't change the number of iterations executed (and might lead to errors or silently give incorrect results).
2022-05-18T04:13:02.3937069Z     images, [(i.shape[-1], i.shape[-2]) for i in images]
2022-05-18T04:13:02.3937210Z 
2022-05-18T04:13:02.3937363Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_rpn
2022-05-18T04:13:02.3938186Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:10583: TracerWarning: Iterating over a tensor might cause the trace to be incorrect. Passing a tensor of different shape won't change the number of iterations executed (and might lead to errors or silently give incorrect results).
2022-05-18T04:13:02.3938717Z     images, [(i.shape[-1], i.shape[-2]) for i in images]
2022-05-18T04:13:02.3938860Z 
2022-05-18T04:13:02.3939008Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_scalar_type
2022-05-18T04:13:02.3939625Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:7023: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:13:02.3940138Z     a = torch.tensor([12.0])
2022-05-18T04:13:02.3940260Z 
2022-05-18T04:13:02.3940440Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_shufflenet_v2_dynamic_axes
2022-05-18T04:13:02.3940992Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/utils.py:1515: UserWarning: Provided key output for dynamic axes is not a valid input/output name
2022-05-18T04:13:02.3941295Z     key
2022-05-18T04:13:02.3941391Z 
2022-05-18T04:13:02.3941571Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_shufflenet_v2_dynamic_axes
2022-05-18T04:13:02.3942628Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/shufflenetv2.py:23: UserWarning: __floordiv__ is deprecated, and its behavior will change in a future version of pytorch. It currently rounds toward 0 (like the 'trunc' function NOT 'floor'). This results in incorrect rounding for negative values. To keep the current behavior, use torch.div(a, b, rounding_mode='trunc'), or for actual floor division, use torch.div(a, b, rounding_mode='floor').
2022-05-18T04:13:02.3943258Z     channels_per_group = num_channels // groups
2022-05-18T04:13:02.3943399Z 
2022-05-18T04:13:02.3943557Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_slice_dynamic_to_end
2022-05-18T04:13:02.3944077Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/utils.py:1515: UserWarning: Provided key input_1 for dynamic axes is not a valid input/output name
2022-05-18T04:13:02.3944378Z     key
2022-05-18T04:13:02.3944473Z 
2022-05-18T04:13:02.3944642Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_slice_dynamic_to_end
2022-05-18T04:13:02.3945199Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/utils.py:1515: UserWarning: Provided key output_1 for dynamic axes is not a valid input/output name
2022-05-18T04:13:02.3945495Z     key
2022-05-18T04:13:02.3945590Z 
2022-05-18T04:13:02.3945762Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_split_size_with_slice
2022-05-18T04:13:02.3946395Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/utils.py:1522: UserWarning: No names were found for specified dynamic axes of provided input.Automatically generated names will be applied to each dynamic axes of input t
2022-05-18T04:13:02.3946750Z     key
2022-05-18T04:13:02.3946844Z 
2022-05-18T04:13:02.3947015Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_split_tensor_scalar
2022-05-18T04:13:02.3947797Z   /opt/conda/lib/python3.7/site-packages/torch/_tensor.py:609: TracerWarning: Converting a tensor to a Python integer might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:13:02.3948276Z     split_size = int(split_size)
2022-05-18T04:13:02.3948398Z 
2022-05-18T04:13:02.3948569Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_symbolic_shape_inference_arange
2022-05-18T04:13:02.3949586Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:11538: UserWarning: __rfloordiv__ is deprecated, and its behavior will change in a future version of pytorch. It currently rounds toward 0 (like the 'trunc' function NOT 'floor'). This results in incorrect rounding for negative values. To keep the current behavior, use torch.div(a, b, rounding_mode='trunc'), or for actual floor division, use torch.div(a, b, rounding_mode='floor').
2022-05-18T04:13:02.3950195Z     subframe_step = frame_step // subframe_length
2022-05-18T04:13:02.3950338Z 
2022-05-18T04:13:02.3950527Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_symbolic_shape_inference_arange
2022-05-18T04:13:02.3951495Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:11539: UserWarning: __floordiv__ is deprecated, and its behavior will change in a future version of pytorch. It currently rounds toward 0 (like the 'trunc' function NOT 'floor'). This results in incorrect rounding for negative values. To keep the current behavior, use torch.div(a, b, rounding_mode='trunc'), or for actual floor division, use torch.div(a, b, rounding_mode='floor').
2022-05-18T04:13:02.3952100Z     subframes_per_frame = frame_length // subframe_length
2022-05-18T04:13:02.3952237Z 
2022-05-18T04:13:02.3952463Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_symbolic_shape_inference_arange
2022-05-18T04:13:02.3953442Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:11541: UserWarning: __floordiv__ is deprecated, and its behavior will change in a future version of pytorch. It currently rounds toward 0 (like the 'trunc' function NOT 'floor'). This results in incorrect rounding for negative values. To keep the current behavior, use torch.div(a, b, rounding_mode='trunc'), or for actual floor division, use torch.div(a, b, rounding_mode='floor').
2022-05-18T04:13:02.3954042Z     output_subframes = output_size // subframe_length
2022-05-18T04:13:02.3954187Z 
2022-05-18T04:13:02.3954374Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_symbolic_shape_inference_box_if
2022-05-18T04:13:02.3955191Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:11593: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:13:02.3955654Z     if boxes_1.numel() > 3:
2022-05-18T04:13:02.3955771Z 
2022-05-18T04:13:02.3955955Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_symbolic_shape_inference_slice
2022-05-18T04:13:02.3956614Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/utils.py:1522: UserWarning: No names were found for specified dynamic axes of provided input.Automatically generated names will be applied to each dynamic axes of input position_bias
2022-05-18T04:13:02.3956997Z     key
2022-05-18T04:13:02.3957081Z 
2022-05-18T04:13:02.3957270Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_tensor_index_advanced_indexing
2022-05-18T04:13:02.3957903Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2784: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:13:02.3958417Z     torch.tensor([[0, 2], [1, 1]]),
2022-05-18T04:13:02.3958536Z 
2022-05-18T04:13:02.3958716Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_tensor_index_advanced_indexing
2022-05-18T04:13:02.3959330Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2786: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:13:02.3959878Z     torch.tensor([2, 1]),
2022-05-18T04:13:02.3959993Z 
2022-05-18T04:13:02.3960175Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_tensor_index_advanced_indexing
2022-05-18T04:13:02.3960790Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2787: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:13:02.3961283Z     torch.tensor([0, 3]),
2022-05-18T04:13:02.3961396Z 
2022-05-18T04:13:02.3961560Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_tensor_index_advanced_indexing
2022-05-18T04:13:02.3962213Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2796: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:13:02.3962754Z     :, torch.tensor([0, 2]), None, 2:4, torch.tensor([[1, 3], [4, 0]])
2022-05-18T04:13:02.3962903Z 
2022-05-18T04:13:02.3963084Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_tensor_index_advanced_indexing
2022-05-18T04:13:02.3963714Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2805: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:13:02.3964203Z     torch.tensor([0, 2]),
2022-05-18T04:13:02.3964318Z 
2022-05-18T04:13:02.3964496Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_tensor_index_advanced_indexing
2022-05-18T04:13:02.3965116Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2806: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:13:02.3965613Z     torch.tensor([1]),
2022-05-18T04:13:02.3965727Z 
2022-05-18T04:13:02.3965903Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_tensor_index_advanced_indexing
2022-05-18T04:13:02.3966501Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2808: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:13:02.3967015Z     torch.tensor([[1], [4]]),
2022-05-18T04:13:02.3967131Z 
2022-05-18T04:13:02.3967324Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_tensor_index_advanced_indexing_consecutive
2022-05-18T04:13:02.3967951Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2817: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:13:02.3968484Z     :, torch.tensor([0, 2]), torch.tensor([[1, 3], [4, 0]]), None
2022-05-18T04:13:02.3968672Z 
2022-05-18T04:13:02.3968852Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_tensor_index_advanced_indexing_ellipsis
2022-05-18T04:13:02.3969483Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2774: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:13:02.3970028Z     return input[..., torch.tensor([2, 1]), torch.tensor([0, 3])]
2022-05-18T04:13:02.3970176Z 
2022-05-18T04:13:02.3970349Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_tensordot_dynamic_dim
2022-05-18T04:13:02.3970999Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/utils.py:1522: UserWarning: No names were found for specified dynamic axes of provided input.Automatically generated names will be applied to each dynamic axes of input input_x
2022-05-18T04:13:02.3971360Z     key
2022-05-18T04:13:02.3971454Z 
2022-05-18T04:13:02.3971627Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_tensordot_dynamic_dim
2022-05-18T04:13:02.3972292Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/utils.py:1522: UserWarning: No names were found for specified dynamic axes of provided input.Automatically generated names will be applied to each dynamic axes of input input_y
2022-05-18T04:13:02.3972671Z     key
2022-05-18T04:13:02.3972752Z 
2022-05-18T04:13:02.3972913Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_topk_int32_k
2022-05-18T04:13:02.3973711Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:4060: TracerWarning: Converting a tensor to a Python integer might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:13:02.3974198Z     return torch.topk(x, k)
2022-05-18T04:13:02.3974319Z 
2022-05-18T04:13:02.3974492Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_topk_smallest_unsorted
2022-05-18T04:13:02.3975411Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:4072: TracerWarning: Converting a tensor to a Python integer might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:13:02.3975941Z     topk_unsorted = torch.topk(x, k, largest=False, sorted=False)
2022-05-18T04:13:02.3976101Z 
2022-05-18T04:13:02.3976276Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_topk_smallest_unsorted
2022-05-18T04:13:02.3977084Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:4073: TracerWarning: Converting a tensor to a Python integer might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:13:02.3977614Z     topk_sorted = torch.topk(x, k, largest=False, sorted=True)
2022-05-18T04:13:02.3977767Z 
2022-05-18T04:13:02.3977914Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_trace_script
2022-05-18T04:13:02.3978531Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:8284: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:13:02.3979164Z     return center_slice_helper(input, torch.tensor(input.shape[1] - 1))
2022-05-18T04:13:02.3979390Z 
2022-05-18T04:13:02.3979552Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_trace_script
2022-05-18T04:13:02.3980082Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:8284: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor).
2022-05-18T04:13:02.3980615Z     return center_slice_helper(input, torch.tensor(input.shape[1] - 1))
2022-05-18T04:13:02.3980783Z 
2022-05-18T04:13:02.3980954Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_transformer_encoder
2022-05-18T04:13:02.3981740Z   /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:4995: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:13:02.3982241Z     assert embed_dim == embed_dim_to_check, \
2022-05-18T04:13:02.3982379Z 
2022-05-18T04:13:02.3982537Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_transformer_encoder
2022-05-18T04:13:02.3983363Z   /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:5002: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:13:02.3983923Z     assert head_dim * num_heads == embed_dim, f"embed_dim {embed_dim} not divisible by num_heads {num_heads}"
2022-05-18T04:13:02.3984114Z 
2022-05-18T04:13:02.3984286Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_transformer_encoder
2022-05-18T04:13:02.3985138Z   /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:5008: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:13:02.3985714Z     assert key.shape == value.shape, f"key shape {key.shape} does not match value shape {value.shape}"
2022-05-18T04:13:02.3985899Z 
2022-05-18T04:13:02.3986071Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_transformer_encoder
2022-05-18T04:13:02.3986851Z   /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:4798: TracerWarning: Converting a tensor to a Python float might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:13:02.3987323Z     q = q / math.sqrt(E)
2022-05-18T04:13:02.3987436Z 
2022-05-18T04:13:02.3987593Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_type_as
2022-05-18T04:13:02.3988199Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:7739: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:13:02.3988709Z     y = torch.tensor([1.0])
2022-05-18T04:13:02.3988829Z 
2022-05-18T04:13:02.3989004Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_unfold_dynamic_inputs
2022-05-18T04:13:02.3989806Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:7146: TracerWarning: Converting a tensor to a Python integer might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:13:02.3990441Z     return x.unfold(dimension=2, size=x.shape[1], step=x.shape[1] - 1)
2022-05-18T04:13:02.3990603Z 
2022-05-18T04:13:02.3990763Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_unfold_dynamic_inputs
2022-05-18T04:13:02.3991563Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:7153: TracerWarning: Converting a tensor to a Python integer might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:13:02.3992076Z     return x.unfold(dimension=2, size=x.shape[1], step=1)
2022-05-18T04:13:02.3992221Z 
2022-05-18T04:13:02.3992384Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_uninitialized
2022-05-18T04:13:02.3993174Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:7966: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:13:02.3993634Z     if y.shape[1] < 5:
2022-05-18T04:13:02.3993781Z 
2022-05-18T04:13:02.3993947Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_uninitialized
2022-05-18T04:13:02.3994737Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:7967: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:13:02.3995201Z     if y.size(0) == 1:
2022-05-18T04:13:02.3995310Z 
2022-05-18T04:13:02.3995470Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_uninitialized_dynamic
2022-05-18T04:13:02.3996267Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:7980: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:13:02.3996732Z     if y.shape[1] < 5:
2022-05-18T04:13:02.3996843Z 
2022-05-18T04:13:02.3997016Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_uninitialized_dynamic
2022-05-18T04:13:02.3997814Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:7981: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:13:02.3998261Z     if y.size(0) == 1:
2022-05-18T04:13:02.3998430Z 
2022-05-18T04:13:02.3998626Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_view_dynamic
2022-05-18T04:13:02.3999286Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/utils.py:1522: UserWarning: No names were found for specified dynamic axes of provided input.Automatically generated names will be applied to each dynamic axes of input shape
2022-05-18T04:13:02.4014924Z     key
2022-05-18T04:13:02.4015024Z 
2022-05-18T04:13:02.4015217Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset12::test_where_with_byte_tensor
2022-05-18T04:13:02.4016109Z   /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:426: UserWarning: where received a uint8 condition tensor. This behavior is deprecated and will be removed in a future version of PyTorch. Use a boolean condition instead. (Triggered internally at  /var/lib/jenkins/workspace/aten/src/ATen/native/TensorCompare.cpp:402.)
2022-05-18T04:13:02.4016627Z     return callable(*args, **kwargs)
2022-05-18T04:13:02.4016903Z 
2022-05-18T04:13:02.4017141Z -- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html
2022-05-18T04:13:02.4017331Z 
2022-05-18T04:13:02.4017535Z ---------- coverage: platform linux, python 3.7.13-final-0 -----------
2022-05-18T04:13:02.4017823Z Coverage XML written to file test/coverage.xml
2022-05-18T04:13:02.4017965Z 
2022-05-18T04:13:02.4018083Z =========================== short test summary info ============================
2022-05-18T04:13:02.4018363Z SKIPPED [7] test/onnx/test_pytorch_common.py:98: Unsupported opset_version: 12 < 15
2022-05-18T04:13:02.4018685Z SKIPPED [3] test/onnx/test_pytorch_common.py:53: Unsupported opset_version: 12 < 15
2022-05-18T04:13:02.4019010Z SKIPPED [29] test/onnx/test_pytorch_common.py:53: Unsupported opset_version: 12 < 13
2022-05-18T04:13:02.4019408Z SKIPPED [1] test/onnx/test_pytorch_common.py:98: Due to ONNX Loop shape inference issue. https://msdata.visualstudio.com/Vienna/_workitems/edit/1352001
2022-05-18T04:13:02.4019807Z SKIPPED [1] test/onnx/test_pytorch_common.py:53: Unsupported opset_version: 12 < 16
2022-05-18T04:13:02.4020124Z SKIPPED [8] test/onnx/test_pytorch_common.py:53: Unsupported opset_version: 12 < 14
2022-05-18T04:13:02.4020443Z SKIPPED [1] test/onnx/test_pytorch_common.py:68: Unsupported opset_version: 12 > 8
2022-05-18T04:13:02.4020835Z SKIPPED [1] test/onnx/test_pytorch_common.py:53: Failing, see https://github.com/pytorch/pytorch/issues/66528
2022-05-18T04:13:02.4021261Z SKIPPED [1] test/onnx/test_pytorch_common.py:53: Unstable loading pretrained quantized mobilenet v3: https://github.com/pytorch/vision/issues/5303
2022-05-18T04:13:02.4021720Z SKIPPED [1] test/onnx/test_pytorch_common.py:53: Bug in ORT, skip test until rel-1.11.
2022-05-18T04:13:02.4022042Z SKIPPED [1] test/onnx/test_pytorch_common.py:68: Unsupported opset_version: 12 > 10
2022-05-18T04:13:02.4022464Z ========== 751 passed, 54 skipped, 1746 warnings in 598.62s (0:09:58) ==========
2022-05-18T04:13:02.8748267Z + for i in '$(seq 10 16)'
2022-05-18T04:13:02.8748973Z + pytest -v --cov --cov-report xml:test/coverage.xml --cov-append /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13
2022-05-18T04:13:03.1141113Z ============================= test session starts ==============================
2022-05-18T04:13:03.1141522Z platform linux -- Python 3.7.13, pytest-7.1.2, pluggy-1.0.0 -- /opt/conda/bin/python
2022-05-18T04:13:03.1211213Z cachedir: .pytest_cache
2022-05-18T04:13:03.1211637Z rootdir: /var/lib/jenkins/workspace, configfile: pytest.ini
2022-05-18T04:13:03.1212181Z plugins: hypothesis-3.44.6, cov-3.0.0
2022-05-18T04:13:03.9810103Z collecting ... 
2022-05-18T04:13:04.1030140Z collecting 0 items                                                             
2022-05-18T04:13:04.1030548Z collected 805 items                                                            
2022-05-18T04:13:04.1039548Z 
2022-05-18T04:13:04.2347747Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test__dim_arange PASSED [  0%]
2022-05-18T04:13:04.2446012Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_add_inplace Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'x.1'. This changes graph semantics.
2022-05-18T04:13:04.2618660Z Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: '0'. This changes graph semantics.
2022-05-18T04:13:04.2804409Z PASSED [  0%]
2022-05-18T04:13:04.3258622Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_addcmul PASSED [  0%]
2022-05-18T04:13:04.4157965Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_all PASSED [  0%]
2022-05-18T04:13:04.4182464Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_all_optional_default_none SKIPPED [  0%]
2022-05-18T04:13:04.4203729Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_all_optional_default_tensor SKIPPED [  0%]
2022-05-18T04:13:04.4224573Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_all_optional_default_tensor_script SKIPPED [  0%]
2022-05-18T04:13:04.4731693Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_amax_amin PASSED [  0%]
2022-05-18T04:13:04.5373085Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_aminmax PASSED [  1%]
2022-05-18T04:13:04.5910525Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_and_or_xor PASSED [  1%]
2022-05-18T04:13:04.7134190Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_any PASSED [  1%]
2022-05-18T04:13:04.8651712Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_arange_dynamic PASSED [  1%]
2022-05-18T04:13:04.9781526Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_arange_end PASSED [  1%]
2022-05-18T04:13:05.1131870Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_arange_end_notype PASSED [  1%]
2022-05-18T04:13:05.1783775Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_arange_no_type PASSED [  1%]
2022-05-18T04:13:05.2389879Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_arange_out PASSED [  1%]
2022-05-18T04:13:05.3732540Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_arange_start_end PASSED [  2%]
2022-05-18T04:13:05.5070314Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_arange_start_end_notype PASSED [  2%]
2022-05-18T04:13:05.6666905Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_arange_start_end_step PASSED [  2%]
2022-05-18T04:13:05.8271798Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_arange_start_end_step_notype PASSED [  2%]
2022-05-18T04:13:05.9816031Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_arange_start_out PASSED [  2%]
2022-05-18T04:13:06.3349215Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_arange_with_floats PASSED [  2%]
2022-05-18T04:13:06.5460084Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_arange_with_floats_out PASSED [  2%]
2022-05-18T04:13:06.6989019Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_arange_with_floats_override PASSED [  2%]
2022-05-18T04:13:06.7742502Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_argmin_argmax PASSED [  3%]
2022-05-18T04:13:06.9208413Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_argmin_argmax_select_last_index PASSED [  3%]
2022-05-18T04:13:07.0253114Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_arithmetic PASSED [  3%]
2022-05-18T04:13:07.5729646Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_arithmeticOps_with_low_precision PASSED [  3%]
2022-05-18T04:13:07.6419586Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_arithmetic_infer_dtype PASSED [  3%]
2022-05-18T04:13:07.7550588Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_arithmetic_prim_bool PASSED [  3%]
2022-05-18T04:13:07.9344764Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_arithmetic_prim_float PASSED [  3%]
2022-05-18T04:13:08.0967696Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_arithmetic_prim_long PASSED [  3%]
2022-05-18T04:13:08.1719581Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_as_strided PASSED [  4%]
2022-05-18T04:13:08.1861291Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_auto_grad PASSED [  4%]
2022-05-18T04:13:08.2681794Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_avgpool PASSED [  4%]
2022-05-18T04:13:08.3281397Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_avgpool_1d_ceil PASSED [  4%]
2022-05-18T04:13:08.4028449Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_avgpool_2d_ceil PASSED [  4%]
2022-05-18T04:13:09.4076520Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_avgpool_3d_ceil PASSED [  4%]
2022-05-18T04:13:09.4680506Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_avgpool_default_stride PASSED [  4%]
2022-05-18T04:13:09.5078164Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_baddbmm PASSED [  4%]
2022-05-18T04:13:09.5370004Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_baddbmm_dynamic PASSED [  5%]
2022-05-18T04:13:09.7431627Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_batched_nms PASSED [  5%]
2022-05-18T04:13:09.8586673Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_batchnorm1d PASSED [  5%]
2022-05-18T04:13:09.9778274Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_batchnorm1d_noaffine PASSED [  5%]
2022-05-18T04:13:10.1649435Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_batchnorm1d_norunningstats PASSED [  5%]
2022-05-18T04:13:10.2424487Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_batchnorm2d PASSED [  5%]
2022-05-18T04:13:10.3223439Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_batchnorm2d_noaffine PASSED [  5%]
2022-05-18T04:13:10.4418343Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_batchnorm2d_norunningstats PASSED [  5%]
2022-05-18T04:13:14.2195712Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_batchnorm3d PASSED [  6%]
2022-05-18T04:13:18.0024941Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_batchnorm3d_noaffine PASSED [  6%]
2022-05-18T04:13:18.5937580Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_batchnorm_eval_mode_train_layer PASSED [  6%]
2022-05-18T04:13:18.8043358Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_batchnorm_training Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'bn1.num_batches_tracked'. This changes graph semantics.
2022-05-18T04:13:18.8044609Z Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'bn2.num_batches_tracked'. This changes graph semantics.
2022-05-18T04:13:18.8045588Z Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'bn3.num_batches_tracked'. This changes graph semantics.
2022-05-18T04:13:19.1156693Z Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'bn1.num_batches_tracked'. This changes graph semantics.
2022-05-18T04:13:19.1157695Z Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'bn2.num_batches_tracked'. This changes graph semantics.
2022-05-18T04:13:19.1158663Z Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'bn3.num_batches_tracked'. This changes graph semantics.
2022-05-18T04:13:19.2301987Z PASSED [  6%]
2022-05-18T04:13:19.5047931Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_batchnorm_training_mode_fix_layer Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'bn1.num_batches_tracked'. This changes graph semantics.
2022-05-18T04:13:19.5049311Z Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'bn2.num_batches_tracked'. This changes graph semantics.
2022-05-18T04:13:19.5050364Z Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'bn3.num_batches_tracked'. This changes graph semantics.
2022-05-18T04:13:19.8873883Z Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'bn1.num_batches_tracked'. This changes graph semantics.
2022-05-18T04:13:19.8874905Z Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'bn2.num_batches_tracked'. This changes graph semantics.
2022-05-18T04:13:19.8875936Z Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'bn3.num_batches_tracked'. This changes graph semantics.
2022-05-18T04:13:20.0140321Z PASSED [  6%]
2022-05-18T04:13:20.1024894Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_bernoulli PASSED [  6%]
2022-05-18T04:13:20.6182944Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_binary_cross_entropy_with_logits PASSED [  6%]
2022-05-18T04:13:20.6907226Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_bitshift PASSED [  6%]
2022-05-18T04:13:20.7573340Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_bitshift_uint8 PASSED [  7%]
2022-05-18T04:13:20.8554760Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_broad_cast_tensors PASSED [  7%]
2022-05-18T04:13:20.9202092Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_bucketize PASSED [  7%]
2022-05-18T04:13:20.9439158Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_cast_to PASSED [  7%]
2022-05-18T04:13:21.0013991Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_cast_to_bool PASSED [  7%]
2022-05-18T04:13:21.0529943Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_cast_type_as_with_bfloat16 PASSED [  7%]
2022-05-18T04:13:21.0979525Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_cdist PASSED [  7%]
2022-05-18T04:13:21.1311806Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_celu PASSED [  7%]
2022-05-18T04:13:21.1610771Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_celu_alpha PASSED [  8%]
2022-05-18T04:13:21.1918521Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_celu_cast PASSED [  8%]
2022-05-18T04:13:21.2207394Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_celu_default PASSED [  8%]
2022-05-18T04:13:21.4211500Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_chunk PASSED [  8%]
2022-05-18T04:13:21.4704517Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_clamp WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:21.4708190Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:21.4716504Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:21.4826985Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:21.4830500Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:21.4833538Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:21.5014790Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:21.5018335Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:21.5026909Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:21.5137366Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:21.5140692Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:21.5143653Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:21.5168963Z PASSED [  8%]
2022-05-18T04:13:21.5358667Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_clamp_dyn WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:21.5362244Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:21.5371663Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:21.5564990Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:21.5568772Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:21.5578295Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:21.6599913Z PASSED [  8%]
2022-05-18T04:13:21.8029410Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_clip_boxes_to_image PASSED [  8%]
2022-05-18T04:13:21.8370312Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_clip_int PASSED [  8%]
2022-05-18T04:13:21.8717516Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_concat PASSED [  9%]
2022-05-18T04:13:21.8919375Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_concat_dynamic PASSED [  9%]
2022-05-18T04:13:21.9131040Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_constant_pad Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:13:21.9149062Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:13:21.9164587Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:13:21.9339884Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:13:21.9358683Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:13:21.9369147Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:13:21.9597367Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:13:21.9615226Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:13:21.9631229Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:13:21.9807318Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:13:21.9824570Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:13:21.9835273Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:13:21.9878334Z PASSED [  9%]
2022-05-18T04:13:24.5934765Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_conv PASSED [  9%]
2022-05-18T04:13:24.8451316Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_conv_bn Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'bn.num_batches_tracked'. This changes graph semantics.
2022-05-18T04:13:24.9018624Z PASSED [  9%]
2022-05-18T04:13:25.0865081Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_conv_shape_inference PASSED [  9%]
2022-05-18T04:13:25.1302441Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_conv_tbc PASSED [  9%]
2022-05-18T04:13:45.9860538Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_conv_transpose PASSED [  9%]
2022-05-18T04:13:46.1538358Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_convolution_allow_tf32 PASSED [ 10%]
2022-05-18T04:13:47.4390865Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_copy_ PASSED [ 10%]
2022-05-18T04:13:47.9666671Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_copy_ellipsis PASSED [ 10%]
2022-05-18T04:13:48.2842307Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_copy_ellipsis_script PASSED [ 10%]
2022-05-18T04:13:48.3778425Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_copy_tracing PASSED [ 10%]
2022-05-18T04:13:48.4172371Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_cosine_similarity PASSED [ 10%]
2022-05-18T04:13:48.4942223Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_cross PASSED [ 10%]
2022-05-18T04:13:50.2731674Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_crossentropyloss PASSED [ 10%]
2022-05-18T04:13:50.3511938Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_cste_script PASSED [ 11%]
2022-05-18T04:13:50.3845732Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_cumsum PASSED [ 11%]
2022-05-18T04:13:50.4495439Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_cumsum_with_cast PASSED [ 11%]
2022-05-18T04:13:50.4875055Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_data PASSED [ 11%]
2022-05-18T04:13:50.5236591Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_dequantize PASSED [ 11%]
2022-05-18T04:13:50.7274365Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_derive_index PASSED [ 11%]
2022-05-18T04:13:50.7403397Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_derive_index_scripting Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'j.11'. This changes graph semantics.
2022-05-18T04:13:50.8646940Z Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'j.11'. This changes graph semantics.
2022-05-18T04:13:50.9890460Z Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'j.11'. This changes graph semantics.
2022-05-18T04:13:51.0898599Z Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'j.11'. This changes graph semantics.
2022-05-18T04:13:51.1800269Z PASSED [ 11%]
2022-05-18T04:13:51.2019386Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_det PASSED [ 11%]
2022-05-18T04:13:51.2313605Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_device_eq PASSED [ 12%]
2022-05-18T04:13:51.5785061Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_diagonal PASSED [ 12%]
2022-05-18T04:13:51.5898347Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_dict PASSED [ 12%]
2022-05-18T04:13:51.5969365Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_dict_output PASSED [ 12%]
2022-05-18T04:13:51.6105692Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_dict_str PASSED [ 12%]
2022-05-18T04:13:51.6508217Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_dim PASSED [ 12%]
2022-05-18T04:13:51.7584029Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_dim_1 PASSED [ 12%]
2022-05-18T04:13:51.9452685Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_dist_normal PASSED [ 12%]
2022-05-18T04:13:52.0020414Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_dist_normal_correctness PASSED [ 13%]
2022-05-18T04:13:52.1841391Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_dist_uniform PASSED [ 13%]
2022-05-18T04:13:52.2399947Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_dist_uniform_correctness PASSED [ 13%]
2022-05-18T04:13:52.2967041Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_div PASSED [ 13%]
2022-05-18T04:13:52.3875752Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_div_promotion_script PASSED [ 13%]
2022-05-18T04:13:52.4275520Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_div_promotion_trace PASSED [ 13%]
2022-05-18T04:13:52.9170162Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_div_rounding_mode PASSED [ 13%]
2022-05-18T04:13:52.9573944Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_dot PASSED [ 13%]
2022-05-18T04:13:52.9971323Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_dropout PASSED [ 14%]
2022-05-18T04:13:53.0325714Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_dropout_training PASSED [ 14%]
2022-05-18T04:13:53.0911333Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_dropout_training_zero PASSED [ 14%]
2022-05-18T04:13:53.1197561Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_dtype PASSED [ 14%]
2022-05-18T04:13:53.1485343Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_dtype_eq PASSED [ 14%]
2022-05-18T04:13:53.2077017Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_dynamic_arange_out PASSED [ 14%]
2022-05-18T04:13:53.3603675Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_dynamic_arange_start_out PASSED [ 14%]
2022-05-18T04:13:53.6727374Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_dynamic_chunk PASSED [ 14%]
2022-05-18T04:13:54.1599990Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_dynamic_expand_as PASSED [ 15%]
2022-05-18T04:13:54.4454221Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_dynamic_repeat_interleave PASSED [ 15%]
2022-05-18T04:13:54.6290633Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_einsum PASSED [ 15%]
2022-05-18T04:13:54.6690615Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_elman_relu_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:54.6691820Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:54.7122912Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:54.7123814Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:54.7683981Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:54.7684970Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:54.8117876Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:54.8118818Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:54.8317807Z PASSED [ 15%]
2022-05-18T04:13:54.8719747Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_elman_relu_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:54.8721105Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:54.9152027Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:54.9153259Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:54.9716041Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:54.9716682Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:55.0147380Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:55.0148027Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:55.0344662Z PASSED [ 15%]
2022-05-18T04:13:55.0743179Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_elman_relu_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:55.0743892Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:55.1173546Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:55.1174687Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:55.1728406Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:55.1729427Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:55.2160569Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:55.2161551Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:55.2354929Z PASSED [ 15%]
2022-05-18T04:13:55.2759478Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_elman_relu_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:55.2760200Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:55.3192766Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:55.3193364Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:55.3746219Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:55.3746852Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:55.4179110Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:55.4179814Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:55.4369220Z PASSED [ 15%]
2022-05-18T04:13:55.5007817Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_elman_relu_trilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:55.5098473Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:55.5173496Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:55.5868330Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:55.5958122Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:55.6033691Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:55.6128618Z PASSED [ 15%]
2022-05-18T04:13:55.6769790Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_elman_relu_trilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:55.6861307Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:55.6936721Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:55.7637700Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:55.7728161Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:55.7803546Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:55.7898292Z PASSED [ 16%]
2022-05-18T04:13:55.8292818Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_elman_relu_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:55.8293766Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:55.8691675Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:55.8692241Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:55.9198710Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:55.9199255Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:55.9601956Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:55.9602499Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:55.9752381Z PASSED [ 16%]
2022-05-18T04:13:56.0146753Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_elman_relu_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:56.0147475Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:56.0546765Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:56.0547536Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:56.1053342Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:56.1054019Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:56.1451053Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:56.1451570Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:56.1600930Z PASSED [ 16%]
2022-05-18T04:13:56.1992532Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_elman_relu_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:56.1993283Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:56.2390340Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:56.2390935Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:56.2889707Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:56.2890242Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:56.3286978Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:56.3287546Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:56.3429841Z PASSED [ 16%]
2022-05-18T04:13:56.3820757Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_elman_relu_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:56.3821489Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:56.4219275Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:56.4219980Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:56.4720347Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:56.4721062Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:56.5120132Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:56.5120909Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:56.5264847Z PASSED [ 16%]
2022-05-18T04:13:56.5624825Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_elman_relu_trilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:56.5708176Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:56.5763702Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:56.6160664Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:56.6242896Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:56.6298752Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:56.6369986Z PASSED [ 16%]
2022-05-18T04:13:56.6729644Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_elman_relu_trilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:56.6815885Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:56.6872565Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:56.7272447Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:56.7355692Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:56.7411697Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:56.7483967Z PASSED [ 16%]
2022-05-18T04:13:56.7842239Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_elman_relu_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:56.7842941Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:56.8228590Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:56.8229139Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:56.8703372Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:56.8703920Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:56.9089477Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:56.9090063Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:56.9239316Z PASSED [ 16%]
2022-05-18T04:13:56.9596152Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_elman_relu_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:56.9597074Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:56.9983181Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:56.9983779Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:57.0463687Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:57.0464288Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:57.0852019Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:57.0852576Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:57.1006354Z PASSED [ 17%]
2022-05-18T04:13:57.1369782Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_elman_relu_trilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:57.1370519Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:57.1760301Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:57.1760977Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:57.2236646Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:57.2237361Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:57.2622686Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:57.2623384Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:57.2770704Z PASSED [ 17%]
2022-05-18T04:13:57.3129166Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_elman_relu_trilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:57.3130116Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:57.3517106Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:57.3986753Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:57.3987440Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:57.3987957Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:57.4371686Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:57.4372558Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:57.4515780Z PASSED [ 17%]
2022-05-18T04:13:57.5108721Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_elman_relu_trilayer_forward_no_initial_state_without_sequence_lengths_with_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:57.5155467Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:57.5199619Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:57.5849278Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:57.5896808Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:57.5940540Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:57.6022653Z PASSED [ 17%]
2022-05-18T04:13:57.6614824Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_elman_relu_trilayer_forward_no_initial_state_without_sequence_lengths_without_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:57.6661855Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:57.6705838Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:57.7355062Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:57.7402532Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:57.7446957Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:57.7533214Z PASSED [ 17%]
2022-05-18T04:13:57.7889186Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_elman_relu_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:57.7889896Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:57.8246908Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:57.8247626Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:57.8681472Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:57.9039565Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:57.9040293Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:57.9040806Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:57.9150418Z PASSED [ 17%]
2022-05-18T04:13:57.9505113Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_elman_relu_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:57.9505825Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:57.9865764Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:57.9866449Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:58.0298078Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:58.0298802Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:58.0664516Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:58.0665254Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:58.0777340Z PASSED [ 17%]
2022-05-18T04:13:58.1135654Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_elman_relu_trilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:58.1136375Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:58.1495713Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:58.1496240Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:58.1925120Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:58.1925886Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:58.2284182Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:58.2284734Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:58.2390652Z PASSED [ 17%]
2022-05-18T04:13:58.2743343Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_elman_relu_trilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:58.2744086Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:58.3103143Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:58.3103743Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:58.3531245Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:58.3531812Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:58.3893016Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:58.3893738Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:58.3998580Z PASSED [ 18%]
2022-05-18T04:13:58.4317856Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_elman_relu_trilayer_forward_with_initial_state_without_sequence_lengths_with_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:58.4361938Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:58.4389875Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:58.4740465Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:58.4784971Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:58.4812651Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:58.4876769Z PASSED [ 18%]
2022-05-18T04:13:58.5196683Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_elman_relu_trilayer_forward_with_initial_state_without_sequence_lengths_without_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:58.5240365Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:58.5268835Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:58.5618403Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:58.5662538Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:58.5690335Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:58.5752407Z PASSED [ 18%]
2022-05-18T04:13:58.6099157Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_elman_relu_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:58.6099860Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:58.6467335Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:58.6468052Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:58.6871332Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:58.6871883Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:58.7235687Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:58.7236224Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:58.7321034Z PASSED [ 18%]
2022-05-18T04:13:58.7666347Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_elman_relu_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:58.7667065Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:58.8031753Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:58.8032540Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:58.8440095Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:58.8440639Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:58.8803598Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:58.8804131Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:58.8892168Z PASSED [ 18%]
2022-05-18T04:13:58.9236663Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_elman_relu_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:58.9237375Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:58.9600080Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:58.9600633Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:58.9995604Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:58.9996146Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:59.0362587Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:59.0363189Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:59.0445733Z PASSED [ 18%]
2022-05-18T04:13:59.0791448Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_elman_relu_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:59.0792159Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:59.1156036Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:59.1156566Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:59.1553598Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:59.1554125Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:59.1919916Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:59.1920437Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:59.2003869Z PASSED [ 18%]
2022-05-18T04:13:59.2584390Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_elman_relu_unilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:59.2608599Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:59.2630098Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:59.3228849Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:59.3252991Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:59.3274565Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:59.3322481Z PASSED [ 18%]
2022-05-18T04:13:59.3906541Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_elman_relu_unilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:59.3930672Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:59.3952273Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:59.4549075Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:59.4572901Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:59.4594772Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:59.4645861Z PASSED [ 19%]
2022-05-18T04:13:59.4990251Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_elman_relu_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:59.4991224Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:59.5328272Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:59.5328789Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:59.5710448Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:59.5710999Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:59.6050443Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:59.6051374Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:59.6122663Z PASSED [ 19%]
2022-05-18T04:13:59.6466386Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_elman_relu_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:59.6467738Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:59.6804919Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:59.6805845Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:59.7186691Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:59.7187660Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:59.7528391Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:59.7529356Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:59.7599671Z PASSED [ 19%]
2022-05-18T04:13:59.7941317Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_elman_relu_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:59.7942632Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:59.8280795Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:59.8281754Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:59.8655016Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:59.8656018Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:59.8995389Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:59.8996361Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:59.9062602Z PASSED [ 19%]
2022-05-18T04:13:59.9404005Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_elman_relu_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:59.9405334Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:59.9748736Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:13:59.9749713Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:00.0128605Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:00.0129619Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:00.0469597Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:00.0538627Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:00.0539423Z PASSED [ 19%]
2022-05-18T04:14:00.0853302Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_elman_relu_unilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:00.0877839Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:00.0894367Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:00.1216528Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:00.1239982Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:00.1255432Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:00.1296952Z PASSED [ 19%]
2022-05-18T04:14:00.1605600Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_elman_relu_unilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:00.1628296Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:00.1645679Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:00.1960368Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:00.1982829Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:00.1998251Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:00.2037293Z PASSED [ 19%]
2022-05-18T04:14:00.2371325Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_elman_relu_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:00.2372039Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:00.2727184Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:00.2727717Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:00.3109483Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:00.3110048Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:00.3464034Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:00.3464648Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:00.3538931Z PASSED [ 19%]
2022-05-18T04:14:00.3869732Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_elman_relu_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:00.3870426Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:00.4220666Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:00.4221280Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:00.4597404Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:00.4598062Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:00.4949399Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:00.4950060Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:00.5026436Z PASSED [ 20%]
2022-05-18T04:14:00.5358927Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_elman_relu_unilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:00.5359676Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:00.5712364Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:00.5712951Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:00.6085098Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:00.6085843Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:00.6436644Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:00.6437159Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:00.6507523Z PASSED [ 20%]
2022-05-18T04:14:00.6839687Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_elman_relu_unilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:00.6840392Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:00.7195448Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:00.7196044Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:00.7567064Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:00.7567631Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:00.7920372Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:00.7990369Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:00.7991117Z PASSED [ 20%]
2022-05-18T04:14:00.8554626Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_elman_relu_unilayer_forward_no_initial_state_without_sequence_lengths_with_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:00.8568502Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:00.8583413Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:00.9163555Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:00.9177797Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:00.9192642Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:00.9241811Z PASSED [ 20%]
2022-05-18T04:14:00.9810946Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_elman_relu_unilayer_forward_no_initial_state_without_sequence_lengths_without_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:00.9824972Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:00.9839961Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:01.0421576Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:01.0435693Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:01.0450753Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:01.0498774Z PASSED [ 20%]
2022-05-18T04:14:01.0827954Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_elman_relu_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:01.0828661Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:01.1153167Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:01.1153922Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:01.1512064Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:01.1512769Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:01.1838352Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:01.1839087Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:01.1897716Z PASSED [ 20%]
2022-05-18T04:14:01.2223764Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_elman_relu_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:01.2224540Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:01.2551690Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:01.2552429Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:01.2906568Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:01.2907556Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:01.3234270Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:01.3235241Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:01.3294993Z PASSED [ 20%]
2022-05-18T04:14:01.3622277Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_elman_relu_unilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:01.3623616Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:01.3949540Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:01.3950499Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:01.4298322Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:01.4299321Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:01.4628432Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:01.4629376Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:01.4683542Z PASSED [ 20%]
2022-05-18T04:14:01.5010324Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_elman_relu_unilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:01.5011668Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:01.5338493Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:01.5339442Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:01.5692022Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:01.5693058Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:01.6021957Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:01.6022912Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:01.6079293Z PASSED [ 20%]
2022-05-18T04:14:01.6374473Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_elman_relu_unilayer_forward_with_initial_state_without_sequence_lengths_with_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:01.6387641Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:01.6396916Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:01.6697535Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:01.6709581Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:01.6719154Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:01.6753776Z PASSED [ 21%]
2022-05-18T04:14:01.7045446Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_elman_relu_unilayer_forward_with_initial_state_without_sequence_lengths_without_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:01.7057966Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:01.7067675Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:01.7367028Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:01.7379735Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:01.7389405Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:01.7422991Z PASSED [ 21%]
2022-05-18T04:14:01.7822937Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_elman_tanh_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:01.7824606Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:01.8253018Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:01.8253915Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:01.8811102Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:01.8812077Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:01.9240017Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:01.9241243Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:01.9437075Z PASSED [ 21%]
2022-05-18T04:14:01.9838683Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_elman_tanh_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:01.9839406Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:02.0266894Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:02.0267418Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:02.0828554Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:02.0829101Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:02.1257329Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:02.1257871Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:02.1454069Z PASSED [ 21%]
2022-05-18T04:14:02.1853668Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_elman_tanh_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:02.1854371Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:02.2284975Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:02.2285515Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:02.2834013Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:02.2834752Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:02.3261946Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:02.3262513Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:02.3449382Z PASSED [ 21%]
2022-05-18T04:14:02.3844095Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_elman_tanh_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:02.3844816Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:02.4270480Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:02.4271016Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:02.4820879Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:02.4821410Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:02.5252729Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:02.5253261Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:02.5443802Z PASSED [ 21%]
2022-05-18T04:14:02.6080223Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_elman_tanh_trilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:02.6170365Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:02.6246027Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:02.6948576Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:02.7038943Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:02.7114470Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:02.7210327Z PASSED [ 21%]
2022-05-18T04:14:02.7849247Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_elman_tanh_trilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:02.7939063Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:02.8014232Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:02.8706884Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:02.8796666Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:02.8872141Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:02.8964167Z PASSED [ 21%]
2022-05-18T04:14:02.9356687Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_elman_tanh_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:02.9357402Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:02.9753067Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:02.9753610Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:03.0260712Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:03.0261266Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:03.0660865Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:03.0661438Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:03.0813321Z PASSED [ 22%]
2022-05-18T04:14:03.1211162Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_elman_tanh_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:03.1212159Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:03.1614718Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:03.1615255Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:03.2128092Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:03.2128634Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:03.2526801Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:03.2527338Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:03.2677631Z PASSED [ 22%]
2022-05-18T04:14:03.3071447Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_elman_tanh_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:03.3072795Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:03.3470872Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:03.3471816Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:03.3971157Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:03.3972154Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:03.4369347Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:03.4370294Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:03.4515809Z PASSED [ 22%]
2022-05-18T04:14:03.4908118Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_elman_tanh_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:03.4909452Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:03.5308210Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:03.5309188Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:03.5812536Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:03.5813525Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:03.6216665Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:03.6217911Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:03.6363759Z PASSED [ 22%]
2022-05-18T04:14:03.6723565Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_elman_tanh_trilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:03.6807860Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:03.6866182Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:03.7262308Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:03.7346582Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:03.7403130Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:03.7474816Z PASSED [ 22%]
2022-05-18T04:14:03.7834526Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_elman_tanh_trilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:03.7920709Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:03.7977346Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:03.8373077Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:03.8457152Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:03.8513748Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:03.8585714Z PASSED [ 22%]
2022-05-18T04:14:03.8944980Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_elman_tanh_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:03.8945686Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:03.9335937Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:03.9336467Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:03.9812479Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:03.9813013Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:04.0197186Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:04.0197718Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:04.0349618Z PASSED [ 22%]
2022-05-18T04:14:04.0708212Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_elman_tanh_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:04.0708917Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:04.1095206Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:04.1095735Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:04.1577679Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:04.1578205Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:04.1963746Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:04.1964249Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:04.2116875Z PASSED [ 22%]
2022-05-18T04:14:04.2473538Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_elman_tanh_trilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:04.2860162Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:04.2860771Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:04.2861279Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:04.3332570Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:04.3333359Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:04.3720900Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:04.3721426Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:04.3866516Z PASSED [ 23%]
2022-05-18T04:14:04.4221862Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_elman_tanh_trilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:04.4222584Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:04.4609131Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:04.4609673Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:04.5080408Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:04.5080943Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:04.5466614Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:04.5467139Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:04.5612589Z PASSED [ 23%]
2022-05-18T04:14:04.6206768Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_elman_tanh_trilayer_forward_no_initial_state_without_sequence_lengths_with_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:04.6254038Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:04.6298465Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:04.6946849Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:04.6994331Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:04.7038549Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:04.7123839Z PASSED [ 23%]
2022-05-18T04:14:04.7720909Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_elman_tanh_trilayer_forward_no_initial_state_without_sequence_lengths_without_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:04.7768202Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:04.7812137Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:04.8458150Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:04.8505280Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:04.8549665Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:04.8634329Z PASSED [ 23%]
2022-05-18T04:14:04.8989283Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_elman_tanh_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:04.8990080Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:04.9348424Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:04.9348948Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:04.9782260Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:04.9782799Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:05.0141183Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:05.0141890Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:05.0253437Z PASSED [ 23%]
2022-05-18T04:14:05.0608291Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_elman_tanh_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:05.0608997Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:05.0967950Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:05.0968638Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:05.1406003Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:05.1406540Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:05.1772474Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:05.1773040Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:05.1889170Z PASSED [ 23%]
2022-05-18T04:14:05.2249369Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_elman_tanh_trilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:05.2250093Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:05.2608568Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:05.2609295Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:05.3043604Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:05.3044268Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:05.3402184Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:05.3402725Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:05.3508259Z PASSED [ 23%]
2022-05-18T04:14:05.3859892Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_elman_tanh_trilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:05.3860588Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:05.4218518Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:05.4219061Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:05.4646267Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:05.4647004Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:05.5004911Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:05.5005462Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:05.5113170Z PASSED [ 23%]
2022-05-18T04:14:05.5436445Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_elman_tanh_trilayer_forward_with_initial_state_without_sequence_lengths_with_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:05.5480013Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:05.5508310Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:05.5864699Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:05.5916169Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:05.5945036Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:05.6010676Z PASSED [ 24%]
2022-05-18T04:14:05.6332658Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_elman_tanh_trilayer_forward_with_initial_state_without_sequence_lengths_without_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:05.6377281Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:05.6406108Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:05.6759366Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:05.6804222Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:05.6833480Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:05.6898000Z PASSED [ 24%]
2022-05-18T04:14:05.7245242Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_elman_tanh_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:05.7246804Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:05.7618283Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:05.7619270Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:05.8020018Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:05.8021022Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:05.8389799Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:05.8390761Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:05.8475790Z PASSED [ 24%]
2022-05-18T04:14:05.8821414Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_elman_tanh_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:05.8822773Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:05.9186436Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:05.9187377Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:05.9589302Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:05.9590288Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:05.9955796Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:05.9956744Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:06.0043530Z PASSED [ 24%]
2022-05-18T04:14:06.0389755Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_elman_tanh_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:06.0391058Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:06.0754893Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:06.0755436Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:06.1153569Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:06.1154106Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:06.1518000Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:06.1518540Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:06.1601241Z PASSED [ 24%]
2022-05-18T04:14:06.1953259Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_elman_tanh_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:06.1953981Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:06.2321832Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:06.2322361Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:06.2722557Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:06.2723081Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:06.3089708Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:06.3090565Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:06.3176156Z PASSED [ 24%]
2022-05-18T04:14:06.3756933Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_elman_tanh_unilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:06.3780802Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:06.3801920Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:06.4401029Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:06.4428685Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:06.4451215Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:06.4501660Z PASSED [ 24%]
2022-05-18T04:14:06.5083666Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_elman_tanh_unilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:06.5107936Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:06.5131292Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:06.5731044Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:06.5755464Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:06.5778881Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:06.5829091Z PASSED [ 24%]
2022-05-18T04:14:06.6170292Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_elman_tanh_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:06.6171017Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:06.6507144Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:06.6507664Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:06.6888780Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:06.6889315Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:06.7226519Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:06.7227074Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:06.7295740Z PASSED [ 25%]
2022-05-18T04:14:06.7637019Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_elman_tanh_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:06.7637810Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:06.7974679Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:06.7975238Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:06.8352949Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:06.8353500Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:06.8691242Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:06.8691764Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:06.8762565Z PASSED [ 25%]
2022-05-18T04:14:06.9103546Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_elman_tanh_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:06.9104250Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:06.9441138Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:06.9441712Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:06.9812235Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:06.9812942Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:07.0150111Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:07.0150652Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:07.0213646Z PASSED [ 25%]
2022-05-18T04:14:07.0552950Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_elman_tanh_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:07.0553665Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:07.0893245Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:07.0893792Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:07.1266002Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:07.1266537Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:07.1603992Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:07.1604526Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:07.1669367Z PASSED [ 25%]
2022-05-18T04:14:07.1977527Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_elman_tanh_unilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:07.2000022Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:07.2015417Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:07.2330764Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:07.2353069Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:07.2368291Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:07.2406510Z PASSED [ 25%]
2022-05-18T04:14:07.2712126Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_elman_tanh_unilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:07.2734390Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:07.2750016Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:07.3070211Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:07.3092899Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:07.3108735Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:07.3148326Z PASSED [ 25%]
2022-05-18T04:14:07.3481877Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_elman_tanh_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:07.3482624Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:07.3834143Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:07.3834684Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:07.4214123Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:07.4214914Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:07.4564960Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:07.4565661Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:07.4646009Z PASSED [ 25%]
2022-05-18T04:14:07.4979196Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_elman_tanh_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:07.4979936Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:07.5328761Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:07.5329561Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:07.5706680Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:07.5707219Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:07.6062405Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:07.6062967Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:07.6139507Z PASSED [ 25%]
2022-05-18T04:14:07.6475761Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_elman_tanh_unilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:07.6476465Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:07.6831782Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:07.6832290Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:07.7207348Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:07.7207881Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:07.7559677Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:07.7560216Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:07.7634441Z PASSED [ 26%]
2022-05-18T04:14:07.7965924Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_elman_tanh_unilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:07.7966627Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:07.8318144Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:07.8318661Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:07.8694903Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:07.8695678Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:07.9048653Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:07.9049168Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:07.9121248Z PASSED [ 26%]
2022-05-18T04:14:07.9686245Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_elman_tanh_unilayer_forward_no_initial_state_without_sequence_lengths_with_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:07.9699271Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:07.9713224Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:08.0300888Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:08.0314367Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:08.0330326Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:08.0382700Z PASSED [ 26%]
2022-05-18T04:14:08.0950444Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_elman_tanh_unilayer_forward_no_initial_state_without_sequence_lengths_without_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:08.0963366Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:08.0979014Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:08.1563785Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:08.1576800Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:08.1592297Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:08.1641036Z PASSED [ 26%]
2022-05-18T04:14:08.1968644Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_elman_tanh_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:08.1969547Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:08.2294053Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:08.2294785Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:08.2649545Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:08.2650096Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:08.2975507Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:08.2976214Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:08.3034539Z PASSED [ 26%]
2022-05-18T04:14:08.3364846Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_elman_tanh_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:08.3365575Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:08.3695192Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:08.3695786Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:08.4054292Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:08.4055182Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:08.4380973Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:08.4381550Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:08.4441115Z PASSED [ 26%]
2022-05-18T04:14:08.4770228Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_elman_tanh_unilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:08.4771081Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:08.5096718Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:08.5097529Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:08.5445975Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:08.5446570Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:08.5772726Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:08.5773278Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:08.5830037Z PASSED [ 26%]
2022-05-18T04:14:08.6158838Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_elman_tanh_unilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:08.6159721Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:08.6484929Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:08.6485565Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:08.6838331Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:08.6839083Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:08.7169122Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:08.7169709Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:08.7233966Z PASSED [ 26%]
2022-05-18T04:14:08.7520158Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_elman_tanh_unilayer_forward_with_initial_state_without_sequence_lengths_with_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:08.7531677Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:08.7540823Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:08.7842328Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:08.7854331Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:08.7863738Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:08.7901811Z PASSED [ 27%]
2022-05-18T04:14:08.8195454Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_elman_tanh_unilayer_forward_with_initial_state_without_sequence_lengths_without_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:08.8206881Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:08.8216016Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:08.8518920Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:08.8530037Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:08.8538816Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:08.8575240Z PASSED [ 27%]
2022-05-18T04:14:09.0057583Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_embedding PASSED [ 27%]
2022-05-18T04:14:09.1307618Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_embedding_bag PASSED [ 27%]
2022-05-18T04:14:09.2815611Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_embedding_bag_1d_per_sample_weights PASSED [ 27%]
2022-05-18T04:14:09.4822666Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_embedding_bag_2d_per_sample_weights PASSED [ 27%]
2022-05-18T04:14:09.4847218Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_embedding_bag_dynamic_input SKIPPED [ 27%]
2022-05-18T04:14:09.5071017Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_embedding_model_with_external_data PASSED [ 27%]
2022-05-18T04:14:09.6689779Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_embedding_module PASSED [ 28%]
2022-05-18T04:14:09.7910412Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_embedding_renorm PASSED [ 28%]
2022-05-18T04:14:09.8317446Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_empty_branch PASSED [ 28%]
2022-05-18T04:14:09.8424939Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_empty_constant_shape Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'x.1'. This changes graph semantics.
2022-05-18T04:14:09.8999310Z Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'x.1'. This changes graph semantics.
2022-05-18T04:14:09.9570831Z Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'x.1'. This changes graph semantics.
2022-05-18T04:14:10.0202700Z Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'x.1'. This changes graph semantics.
2022-05-18T04:14:10.1075954Z PASSED [ 28%]
2022-05-18T04:14:10.1228691Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_empty_kwargs PASSED [ 28%]
2022-05-18T04:14:10.2027880Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_eq PASSED [ 28%]
2022-05-18T04:14:10.2050653Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_expand SKIPPED [ 28%]
2022-05-18T04:14:10.3722798Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_eye PASSED [ 28%]
2022-05-18T04:14:10.3942469Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_fake_quantize_activation WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:10.3948478Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:10.3954105Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:10.4018662Z PASSED [ 29%]
2022-05-18T04:14:10.4791571Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_fake_quantize_per_channel PASSED [ 29%]
2022-05-18T04:14:10.5274875Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_fake_quantize_per_tensor PASSED [ 29%]
2022-05-18T04:14:10.5656538Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_fake_quantize_per_tensor_dynamic_scale_zeropoint PASSED [ 29%]
2022-05-18T04:14:11.4811259Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_faster_rcnn [W LegacyTypeDispatch.h:79] Warning: AutoNonVariableTypeMode is deprecated and will be removed in 1.10 release. For kernel implementations please use AutoDispatchBelowADInplaceOrView instead, If you are looking for a user facing API to enable running your inference-only workload, please use c10::InferenceMode. Using AutoDispatchBelowADInplaceOrView in user code is under risk of producing silent wrong result in some edge cases. See Note [AutoDispatchBelowAutograd] for more details. (function operator())
2022-05-18T04:14:14.3824623Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:14.3825265Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:14.6834101Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:14.6834762Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:24.8937685Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:24.8938223Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:25.1136571Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:25.1137131Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:25.3360587Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:25.3361139Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:32.1333918Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:32.1599568Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:41.2990447Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:41.3303159Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:47.0919666Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:47.0920197Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:47.1052958Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:47.1053655Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:47.1406290Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:47.1606318Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:47.6387871Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:47.6388399Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:47.6471610Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:47.6472337Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:47.6555555Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:47.6556116Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:47.9343584Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:47.9358456Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:48.3322158Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:48.3336988Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:48.5101521Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:48.5102045Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:48.5221670Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:48.5222447Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:48.5497375Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:48.5630362Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:48.6830265Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:48.6830976Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:48.6905362Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:48.6906051Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:48.6980040Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:48.6980573Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:48.9006015Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:48.9008970Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:49.2528513Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:49.2530820Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:55.4224767Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:55.4226017Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:55.7180614Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:14:55.7181517Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:15:05.8359454Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:15:05.8360374Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:15:06.0544738Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:15:06.0545530Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:15:06.2742466Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:15:06.2743020Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:15:13.0097980Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:15:13.0363072Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:15:22.2012072Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:15:22.2342785Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:15:28.0568143Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:15:28.0568735Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:15:28.0696158Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:15:28.0696683Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:15:28.1037426Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:15:28.1229878Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:15:28.5879616Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:15:28.5880415Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:15:28.5960461Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:15:28.5960982Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:15:28.6039631Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:15:28.6040132Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:15:28.8685735Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:15:28.8700746Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:15:29.2537810Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:15:29.2552336Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:15:29.4313128Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:15:29.4313710Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:15:29.4426776Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:15:29.4427294Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:15:29.4688631Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:15:29.4809502Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:15:29.6000619Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:15:29.6001184Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:15:29.6073492Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:15:29.6074194Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:15:29.6144117Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:15:29.6144851Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:15:29.8050910Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:15:29.8054719Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:15:30.1468436Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:15:30.1471305Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:15:34.9699887Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:15:34.9701083Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:15:44.5238228Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:15:44.5239111Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:15:44.7346800Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:15:44.7347729Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:15:44.9476044Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:15:44.9476931Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:15:51.3584209Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:15:51.3838902Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:15:58.4251910Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:15:58.4555329Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:16:01.6326547Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:16:01.6327084Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:16:01.6595203Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:16:02.1113921Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:16:02.1114459Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:16:02.1197396Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:16:02.1197898Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:16:02.1276519Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:16:02.1277318Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:16:02.3868475Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:16:02.3882375Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:16:02.7274094Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:16:02.7288061Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:16:02.8435162Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:16:02.8435662Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:16:02.8636782Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:16:02.9758641Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:16:02.9759159Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:16:02.9830394Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:16:02.9830902Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:16:02.9899446Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:16:02.9899977Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:16:03.1734415Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:16:03.1737365Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:16:03.4724090Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:16:03.4726978Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:16:09.6196903Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:16:09.6197439Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:16:19.1856580Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:16:19.1857167Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:16:19.3969592Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:16:19.3970146Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:16:19.6105945Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:16:19.6106481Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:16:26.0433139Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:16:26.0701418Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:16:33.1230162Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:16:33.1529074Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:16:36.3428233Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:16:36.3428786Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:16:36.3696174Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:16:36.8250955Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:16:36.8251792Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:16:36.8330140Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:16:36.8330829Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:16:36.8408667Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:16:36.8409389Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:16:37.1012684Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:16:37.1027307Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:16:37.3928754Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:16:37.3942677Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:16:37.5094870Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:16:37.5095592Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:16:37.5290446Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:16:37.6458292Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:16:37.6458855Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:16:37.6527656Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:16:37.6528186Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:16:37.6596621Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:16:37.6597151Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:16:37.8427181Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:16:37.8430270Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:16:38.0935656Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:16:38.0938718Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:16:41.4024361Z PASSED [ 29%]
2022-05-18T04:16:41.4440932Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_fill PASSED [ 29%]
2022-05-18T04:16:41.5098576Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_flatten PASSED [ 29%]
2022-05-18T04:16:41.5424979Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_flatten2d PASSED [ 29%]
2022-05-18T04:16:41.6108312Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_flatten2d_neg PASSED [ 30%]
2022-05-18T04:16:41.6483174Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_flatten_dynamic_axes PASSED [ 30%]
2022-05-18T04:16:41.6771543Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_flip PASSED [ 30%]
2022-05-18T04:16:41.7604937Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_floating_point PASSED [ 30%]
2022-05-18T04:16:41.8910073Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_floating_point_infer_dtype PASSED [ 30%]
2022-05-18T04:16:42.2973668Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_floor_div PASSED [ 30%]
2022-05-18T04:16:42.3269870Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_floor_div_script PASSED [ 30%]
2022-05-18T04:16:42.4739923Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_floordiv PASSED [ 30%]
2022-05-18T04:16:42.4963299Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_fmod PASSED [ 31%]
2022-05-18T04:16:42.5245938Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_fmod_scalar PASSED [ 31%]
2022-05-18T04:16:42.6319690Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_frobenius_norm PASSED [ 31%]
2022-05-18T04:16:42.6688207Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_frobenius_norm_keepdim PASSED [ 31%]
2022-05-18T04:16:42.7147816Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_full_like PASSED [ 31%]
2022-05-18T04:16:42.7727598Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_full_like_value PASSED [ 31%]
2022-05-18T04:16:42.7954237Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_full_script PASSED [ 31%]
2022-05-18T04:16:42.8403846Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_full_trace PASSED [ 31%]
2022-05-18T04:16:42.8688119Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_fuse_addmm PASSED [ 32%]
2022-05-18T04:16:42.9840350Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_fuse_conv_bn1d PASSED [ 32%]
2022-05-18T04:16:43.1091031Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_fuse_conv_bn2d PASSED [ 32%]
2022-05-18T04:16:43.2524894Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_fuse_conv_bn3d PASSED [ 32%]
2022-05-18T04:16:43.3396505Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_fuse_conv_in_block PASSED [ 32%]
2022-05-18T04:16:43.3737514Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_gather PASSED [ 32%]
2022-05-18T04:16:43.4014450Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_gather_constant_fold WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:16:43.4123254Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:16:43.4127928Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:16:43.4412381Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:16:43.4423824Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:16:43.4492617Z Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: '0'. This changes graph semantics.
2022-05-18T04:16:43.4751134Z PASSED [ 32%]
2022-05-18T04:16:43.5575830Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_ge PASSED [ 32%]
2022-05-18T04:16:43.6102512Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_ge_scalar PASSED [ 33%]
2022-05-18T04:16:43.6415772Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_gelu PASSED [ 33%]
2022-05-18T04:16:43.6726050Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_getitem PASSED [ 33%]
2022-05-18T04:16:43.7063871Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_glu PASSED [ 33%]
2022-05-18T04:16:43.7086542Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_grid_sample SKIPPED [ 33%]
2022-05-18T04:16:52.7924421Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_groupnorm PASSED [ 33%]
2022-05-18T04:16:53.2259547Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_groupnorm_noaffine PASSED [ 33%]
2022-05-18T04:16:53.4240453Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_gru_constant_folding WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:16:53.4532282Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:16:53.4689680Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:16:53.5053586Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:16:53.5302199Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:16:53.5448043Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:16:53.7312811Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:16:53.7541831Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:16:53.7672258Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:16:53.8031793Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:16:53.8219949Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:16:53.8325956Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:16:53.8392828Z PASSED [ 33%]
2022-05-18T04:16:54.0155835Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_gru_no_bias WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:16:54.0207946Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:16:54.0272546Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:16:54.0331900Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:16:54.0356859Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:16:54.0386670Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:16:54.0441204Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:16:54.0441910Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:16:54.0446265Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:16:54.0787550Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:16:54.0837335Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:16:54.0897087Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:16:54.0924596Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:16:54.0952455Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:16:54.0986448Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:16:54.0999348Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:16:54.1000135Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:16:54.1004273Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:16:54.2680191Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:16:54.2706386Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:16:54.2740083Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:16:54.2773204Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:16:54.2825118Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:16:54.2837862Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:16:54.2853249Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:16:54.2869274Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:16:54.2919607Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:16:54.2920111Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:16:54.2923431Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:16:54.2926920Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:16:54.3261997Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:16:54.3286500Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:16:54.3317698Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:16:54.3348785Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:16:54.3369081Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:16:54.3382695Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:16:54.3399757Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:16:54.3416891Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:16:54.3427154Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:16:54.3427870Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:16:54.3431832Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:16:54.3435355Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:16:54.3495417Z PASSED [ 34%]
2022-05-18T04:16:54.5741150Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_gru_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:16:54.5741889Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:16:54.6300538Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:16:54.6301065Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:16:54.7183343Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:16:54.7183972Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:16:54.7901706Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:16:54.7902306Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:16:55.0043572Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:16:55.0044115Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:16:55.0608969Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:16:55.0609763Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:16:55.1460649Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:16:55.1461677Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:16:55.2171230Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:16:55.2172210Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:16:55.2594153Z PASSED [ 34%]
2022-05-18T04:16:55.4581022Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_gru_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:16:55.4581730Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:16:55.5141148Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:16:55.5141858Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:16:55.6010483Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:16:55.6011060Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:16:55.6717985Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:16:55.6718518Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:16:55.8823811Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:16:55.8824392Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:16:55.9386948Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:16:55.9387480Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:16:56.0238467Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:16:56.0239028Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:16:56.0948678Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:16:56.0949315Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:16:56.1375517Z PASSED [ 34%]
2022-05-18T04:16:56.3392108Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_gru_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:16:56.3392834Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:16:56.3952671Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:16:56.3953222Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:16:56.4821885Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:16:56.4822546Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:16:56.5530219Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:16:56.5530914Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:16:56.7669483Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:16:56.7670087Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:16:56.8232476Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:16:56.8233217Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:16:56.9073848Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:16:56.9074511Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:16:56.9784111Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:16:56.9784654Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:16:57.0201648Z PASSED [ 34%]
2022-05-18T04:16:57.2204628Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_gru_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:16:57.2205338Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:16:57.2771003Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:16:57.2771521Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:16:57.3649555Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:16:57.3650358Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:16:57.4361006Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:16:57.4361542Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:16:57.6456794Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:16:57.6457408Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:16:57.7022853Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:16:57.7023385Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:16:57.7868534Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:16:57.7869070Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:16:57.8576558Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:16:57.8577085Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:16:57.8993217Z PASSED [ 34%]
2022-05-18T04:16:58.0864253Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_gru_trilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:16:58.1294246Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:16:58.1528953Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:16:58.2257260Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:16:58.2656811Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:16:58.2918851Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:16:58.4822257Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:16:58.5249970Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:16:58.5456927Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:16:58.6177839Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:16:58.6571488Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:16:58.6835037Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:16:58.6932361Z PASSED [ 34%]
2022-05-18T04:16:58.8799745Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_gru_trilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:16:58.9228115Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:16:58.9455075Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:16:59.0176358Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:16:59.0575575Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:16:59.0837915Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:16:59.2742971Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:16:59.3176995Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:16:59.3387158Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:16:59.4116119Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:16:59.4515547Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:16:59.4778710Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:16:59.4877726Z PASSED [ 34%]
2022-05-18T04:16:59.6672303Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_gru_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:16:59.6673263Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:16:59.7106522Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:16:59.7107123Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:16:59.7957255Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:16:59.7957808Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:16:59.8633060Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:16:59.8633581Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:00.0692704Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:00.0693323Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:00.1126774Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:00.1127298Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:00.1958254Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:00.1958791Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:00.2640562Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:00.2641319Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:00.3021201Z PASSED [ 34%]
2022-05-18T04:17:00.4784583Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_gru_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:00.4785298Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:00.5215682Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:00.5216409Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:00.6060932Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:00.6061474Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:00.6736383Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:00.6736915Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:00.8766462Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:00.8767051Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:00.9196042Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:00.9196723Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:01.0019578Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:01.0020153Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:01.0695018Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:01.0695680Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:01.1070272Z PASSED [ 35%]
2022-05-18T04:17:01.2852625Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_gru_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:01.2853536Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:01.3284482Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:01.3284997Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:01.4139997Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:01.4140555Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:01.4820019Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:01.4820552Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:01.6873561Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:01.6874108Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:01.7310382Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:01.7310911Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:01.8130835Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:01.8131538Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:01.8807528Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:01.8808288Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:01.9177787Z PASSED [ 35%]
2022-05-18T04:17:02.0934354Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_gru_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:02.0935215Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:02.1366451Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:02.1367314Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:02.2209062Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:02.2209721Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:02.2886917Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:02.2887444Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:02.4912431Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:02.4913145Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:02.5346068Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:02.5346595Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:02.6166730Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:02.6167428Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:02.6847544Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:02.6848106Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:02.7222571Z PASSED [ 35%]
2022-05-18T04:17:02.9184170Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_gru_trilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:02.9608839Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:02.9831469Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:03.0250182Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:03.0643865Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:03.0886276Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:03.2853783Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:03.3278616Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:03.3472801Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:03.3894087Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:03.4281469Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:03.4524876Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:03.4598965Z PASSED [ 35%]
2022-05-18T04:17:03.6561939Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_gru_trilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:03.6987454Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:03.7210147Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:03.7631597Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:03.8023720Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:03.8265818Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:04.0240109Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:04.0665592Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:04.0862475Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:04.1286659Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:04.1673867Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:04.1916063Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:04.1991144Z PASSED [ 35%]
2022-05-18T04:17:04.3636945Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_gru_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:04.3637672Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:04.4024576Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:04.4025099Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:04.4720711Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:04.4721534Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:04.5237452Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:04.5237981Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:04.6861760Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:04.6862303Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:04.7250588Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:04.7251114Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:04.7921553Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:04.7922078Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:04.8436112Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:04.8436669Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:04.8691157Z PASSED [ 35%]
2022-05-18T04:17:05.0313711Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_gru_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:05.0314410Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:05.0702618Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:05.0703135Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:05.1401566Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:05.1402631Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:05.1922657Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:05.1923838Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:05.3502164Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:05.3502720Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:05.3889653Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:05.3890190Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:05.4557412Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:05.4558070Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:05.5071636Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:05.5072345Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:05.5320363Z PASSED [ 35%]
2022-05-18T04:17:05.6972904Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_gru_trilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:05.6973606Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:05.7360861Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:05.7361387Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:05.8050693Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:05.8051231Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:05.8562980Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:05.8563503Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:06.0155072Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:06.0155605Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:06.0542629Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:06.0543149Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:06.1198774Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:06.1199327Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:06.1714071Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:06.1714606Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:06.1957383Z PASSED [ 35%]
2022-05-18T04:17:06.3572989Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_gru_trilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:06.3573726Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:06.3965517Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:06.3966081Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:06.4651013Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:06.4651558Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:06.5166641Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:06.5167380Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:06.6731692Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:06.6732244Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:06.7124336Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:06.7124859Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:06.7784816Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:06.7785560Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:06.8303152Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:06.8303754Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:06.8547157Z PASSED [ 36%]
2022-05-18T04:17:07.0059590Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_gru_trilayer_forward_no_initial_state_without_sequence_lengths_with_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:07.0290320Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:07.0433632Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:07.1096271Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:07.1287488Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:07.1412171Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:07.2952541Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:07.3181931Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:07.3297078Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:07.3958308Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:07.4147368Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:07.4276375Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:07.4363401Z PASSED [ 36%]
2022-05-18T04:17:07.5876945Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_gru_trilayer_forward_no_initial_state_without_sequence_lengths_without_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:07.6107434Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:07.6245267Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:07.6905208Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:07.7096310Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:07.7221099Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:07.8757613Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:07.8986299Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:07.9101168Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:07.9759600Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:07.9948001Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:08.0071779Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:08.0158784Z PASSED [ 36%]
2022-05-18T04:17:08.1608693Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_gru_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:08.1609476Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:08.1867507Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:08.1868282Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:08.2536501Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:08.2537015Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:08.3023441Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:08.3023970Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:08.4585113Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:08.4585800Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:08.4844466Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:08.4845002Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:08.5489467Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:08.5490025Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:08.5980625Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:08.5981482Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:08.6191523Z PASSED [ 36%]
2022-05-18T04:17:08.7620634Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_gru_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:08.7621964Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:08.7883043Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:08.7884049Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:08.8562663Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:08.8563687Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:08.9052446Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:08.9053368Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:09.0592837Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:09.0593868Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:09.0854409Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:09.0855603Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:09.1499655Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:09.1500657Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:09.1988188Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:09.1989131Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:09.2197191Z PASSED [ 36%]
2022-05-18T04:17:09.3643066Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_gru_trilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:09.3644396Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:09.3904351Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:09.3905366Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:09.4574234Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:09.4575452Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:09.5063727Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:09.5064540Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:09.6628335Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:09.6629725Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:09.6890920Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:09.6891921Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:09.7536317Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:09.7537395Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:09.8027575Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:09.8028413Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:09.8233599Z PASSED [ 36%]
2022-05-18T04:17:09.9661619Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_gru_trilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:09.9662981Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:09.9923477Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:09.9924457Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:10.0589841Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:10.0590860Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:10.1079865Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:10.1080757Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:10.2609279Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:10.2610312Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:10.2870936Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:10.2872211Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:10.3510038Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:10.3511040Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:10.3998174Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:10.3999065Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:10.4200868Z PASSED [ 36%]
2022-05-18T04:17:10.5803949Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_gru_trilayer_forward_with_initial_state_without_sequence_lengths_with_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:10.6030881Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:10.6162390Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:10.6525871Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:10.6714274Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:10.6820962Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:10.8424494Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:10.8652175Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:10.8755087Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:10.9120570Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:10.9308522Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:10.9415658Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:10.9484947Z PASSED [ 36%]
2022-05-18T04:17:11.1085082Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_gru_trilayer_forward_with_initial_state_without_sequence_lengths_without_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:11.1312009Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:11.1444560Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:11.1807939Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:11.1994837Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:11.2101468Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:11.3710752Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:11.3938007Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:11.4040433Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:11.4406896Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:11.4592902Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:11.4699456Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:11.4766310Z PASSED [ 37%]
2022-05-18T04:17:11.6357959Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_gru_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:11.6358696Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:11.6688212Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:11.6688757Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:11.7303799Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:11.7304340Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:11.7755773Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:11.7756726Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:11.9212429Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:11.9213082Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:11.9540761Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:11.9541309Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:12.0127533Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:12.0128347Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:12.0577554Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:12.0732864Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:12.0733378Z PASSED [ 37%]
2022-05-18T04:17:12.2305611Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_gru_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:12.2306342Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:12.2630310Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:12.3238273Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:12.3238814Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:12.3239343Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:12.3686196Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:12.3686823Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:12.5113621Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:12.5114234Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:12.5437995Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:12.5438701Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:12.6021918Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:12.6022581Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:12.6469912Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:12.6470663Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:12.6622898Z PASSED [ 37%]
2022-05-18T04:17:12.8217516Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_gru_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:12.8218242Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:12.8541817Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:12.8542548Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:12.9142488Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:12.9143016Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:12.9594929Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:12.9595452Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:13.1042767Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:13.1043310Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:13.1369621Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:13.1370147Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:13.1948133Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:13.1948906Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:13.2398246Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:13.2398772Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:13.2547054Z PASSED [ 37%]
2022-05-18T04:17:13.4106385Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_gru_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:13.4108043Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:13.4432564Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:13.4433548Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:13.5035846Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:13.5036879Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:13.5485790Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:13.5486639Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:13.6902874Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:13.6903960Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:13.7229168Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:13.7230198Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:13.7807939Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:13.7808955Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:13.8257161Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:13.8258421Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:13.8403843Z PASSED [ 37%]
2022-05-18T04:17:13.9833391Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_gru_unilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:13.9990683Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:14.0084524Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:14.0691881Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:14.0811344Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:14.0883692Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:14.2307577Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:14.2465448Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:14.2539074Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:14.3149237Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:14.3266628Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:14.3338878Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:14.3391559Z PASSED [ 37%]
2022-05-18T04:17:14.4826137Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_gru_unilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:14.4984686Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:14.5078254Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:14.5695498Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:14.5813708Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:14.5886943Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:14.7297828Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:14.7455513Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:14.7529340Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:14.8142063Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:14.8261894Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:14.8333884Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:14.8388839Z PASSED [ 37%]
2022-05-18T04:17:14.9735316Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_gru_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:14.9736655Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:14.9933652Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:14.9934797Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:15.0522706Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:15.0523704Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:15.0946503Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:15.0947446Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:15.2329507Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:15.2330574Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:15.2527501Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:15.2528774Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:15.3090416Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:15.3091414Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:15.3512911Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:15.3513855Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:15.3646733Z PASSED [ 37%]
2022-05-18T04:17:15.4962941Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_gru_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:15.4964324Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:15.5161020Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:15.5161973Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:15.5745307Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:15.5746292Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:15.6169985Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:15.6170877Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:15.7529055Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:15.7530107Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:15.7727641Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:15.7728609Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:15.8289105Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:15.8290110Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:15.8712418Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:15.8713352Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:15.8845890Z PASSED [ 38%]
2022-05-18T04:17:16.0185765Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_gru_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:16.0187110Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:16.0384622Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:16.0385641Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:16.0967708Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:16.0968723Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:16.1389923Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:16.1390884Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:16.2770714Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:16.2771744Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:16.2969141Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:16.3526150Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:16.3527189Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:16.3528150Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:16.3950083Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:16.3950928Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:16.4080537Z PASSED [ 38%]
2022-05-18T04:17:16.5398478Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_gru_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:16.5399849Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:16.5595591Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:16.5596582Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:16.6176759Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:16.6177533Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:16.6598934Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:16.6599470Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:16.7954237Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:16.7954808Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:16.8151182Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:16.8151693Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:16.8707038Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:16.8707580Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:16.9129093Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:16.9129626Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:16.9261294Z PASSED [ 38%]
2022-05-18T04:17:17.0781989Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_gru_unilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:17.0938182Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:17.1036774Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:17.1363641Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:17.1478554Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:17.1544421Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:17.3040489Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:17.3196964Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:17.3266390Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:17.3594055Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:17.3709265Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:17.3773713Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:17.3816787Z PASSED [ 38%]
2022-05-18T04:17:17.5326296Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_gru_unilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:17.5479924Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:17.5576184Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:17.5897819Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:17.6010825Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:17.6075865Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:17.7572898Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:17.7728274Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:17.7796966Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:17.8122716Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:17.8236219Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:17.8301133Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:17.8344401Z PASSED [ 38%]
2022-05-18T04:17:17.9794538Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_gru_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:17.9795365Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:18.0061857Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:18.0062615Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:18.0616467Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:18.0617181Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:18.1007346Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:18.1008065Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:18.2272214Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:18.2272929Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:18.2542731Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:18.2543334Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:18.3061199Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:18.3061879Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:18.3458044Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:18.3458928Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:18.3565672Z PASSED [ 38%]
2022-05-18T04:17:18.4997343Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_gru_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:18.4998043Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:18.5264287Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:18.5265009Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:18.5813385Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:18.5813950Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:18.6210083Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:18.6210757Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:18.7456954Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:18.7457575Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:18.7727533Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:18.7728234Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:18.8249805Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:18.8250494Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:18.8646679Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:18.8647389Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:18.8753562Z PASSED [ 38%]
2022-05-18T04:17:19.0209656Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_gru_unilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:19.0210526Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:19.0476717Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:19.0477416Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:19.1019062Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:19.1019744Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:19.1409726Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:19.1410302Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:19.2671243Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:19.2671933Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:19.2938228Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:19.2938991Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:19.3451248Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:19.3451775Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:19.3844007Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:19.3844531Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:19.3944655Z PASSED [ 38%]
2022-05-18T04:17:19.5377444Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_gru_unilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:19.5378131Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:19.5645237Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:19.5645766Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:19.6191502Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:19.6192091Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:19.6584052Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:19.6584562Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:19.7822465Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:19.7823776Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:19.8091353Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:19.8092334Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:19.8613716Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:19.8614966Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:19.9010644Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:19.9011625Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:19.9115194Z PASSED [ 39%]
2022-05-18T04:17:20.0409985Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_gru_unilayer_forward_no_initial_state_without_sequence_lengths_with_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:20.0501265Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:20.0565444Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:20.1152853Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:20.1212434Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:20.1253675Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:20.2528953Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:20.2631312Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:20.2668504Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:20.3254832Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:20.3312739Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:20.3350018Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:20.3398363Z PASSED [ 39%]
2022-05-18T04:17:20.4682694Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_gru_unilayer_forward_no_initial_state_without_sequence_lengths_without_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:20.4774286Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:20.4837987Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:20.5424381Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:20.5482320Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:20.5519815Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:20.6789048Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:20.6880439Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:20.6922630Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:20.7508447Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:20.7565507Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:20.7602665Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:20.7650100Z PASSED [ 39%]
2022-05-18T04:17:20.8877133Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_gru_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:20.8878066Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:20.9016379Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:20.9016900Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:20.9542707Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:20.9543433Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:20.9909773Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:20.9910482Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:21.1136461Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:21.1137079Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:21.1275231Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:21.1275974Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:21.1775470Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:21.1776014Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:21.2143152Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:21.2143811Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:21.2232949Z PASSED [ 39%]
2022-05-18T04:17:21.3438314Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_gru_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:21.3439020Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:21.3577326Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:21.3577863Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:21.4103984Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:21.4104521Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:21.4470795Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:21.4471389Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:21.5671224Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:21.5671773Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:21.5809772Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:21.5810282Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:21.6311728Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:21.6312265Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:21.6678946Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:21.6679489Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:21.6771874Z PASSED [ 39%]
2022-05-18T04:17:21.8001538Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_gru_unilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:21.8002269Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:21.8140496Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:21.8141021Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:21.8664022Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:21.8664913Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:21.9030361Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:21.9031073Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:22.0249282Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:22.0249936Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:22.0387512Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:22.0388381Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:22.0881942Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:22.0882580Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:22.1252948Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:22.1253695Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:22.1337782Z PASSED [ 39%]
2022-05-18T04:17:22.2542111Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_gru_unilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:22.2543307Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:22.2690735Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:22.2691314Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:22.3209212Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:22.3209757Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:22.3575989Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:22.3576519Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:22.4767584Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:22.4768218Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:22.4906355Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:22.4906878Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:22.5400135Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:22.5400858Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:22.5768100Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:22.5768783Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:22.5857539Z PASSED [ 39%]
2022-05-18T04:17:22.7241785Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_gru_unilayer_forward_with_initial_state_without_sequence_lengths_with_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:22.7331624Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:22.7398298Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:22.7701548Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:22.7757924Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:22.7793707Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:22.9145572Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:22.9235549Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:22.9276646Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:22.9580815Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:22.9637059Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:22.9672538Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:22.9710934Z PASSED [ 39%]
2022-05-18T04:17:23.1094910Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_gru_unilayer_forward_with_initial_state_without_sequence_lengths_without_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:23.1185242Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:23.1256837Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:23.1561588Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:23.1618232Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:23.1654047Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:23.3010487Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:23.3101725Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:23.3139451Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:23.3442763Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:23.3498864Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:23.3531104Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:17:23.3567585Z PASSED [ 40%]
2022-05-18T04:17:23.4366872Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_gt PASSED [ 40%]
2022-05-18T04:17:23.4604981Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_gt_primitive PASSED [ 40%]
2022-05-18T04:17:23.5125685Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_gt_scalar PASSED [ 40%]
2022-05-18T04:17:23.5451444Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_hann_window_default_values PASSED [ 40%]
2022-05-18T04:17:23.6151393Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_hann_window_not_periodic PASSED [ 40%]
2022-05-18T04:17:23.6844929Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_hann_window_periodic PASSED [ 40%]
2022-05-18T04:17:23.7695954Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_hardshrink PASSED [ 40%]
2022-05-18T04:17:23.8256362Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_hardsigmoid PASSED [ 40%]
2022-05-18T04:17:23.8827907Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_hardswish PASSED [ 41%]
2022-05-18T04:17:23.8970122Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_hardswish_script PASSED [ 41%]
2022-05-18T04:17:23.9338335Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_hardtanh PASSED [ 41%]
2022-05-18T04:17:23.9536085Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_hardtanh_script_with_default_values PASSED [ 41%]
2022-05-18T04:17:24.3673190Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_heatmaps_to_keypoints PASSED [ 41%]
2022-05-18T04:17:24.9935226Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_if_fold PASSED [ 41%]
2022-05-18T04:17:25.0176537Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_if_list PASSED [ 41%]
2022-05-18T04:17:25.0528568Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_if_transpose PASSED [ 41%]
2022-05-18T04:17:25.1106731Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_if_view PASSED [ 42%]
2022-05-18T04:17:25.3251801Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_im2col PASSED [ 42%]
2022-05-18T04:17:25.3570648Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_index_1d PASSED [ 42%]
2022-05-18T04:17:25.4169101Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_index_2d_1dimslice PASSED [ 42%]
2022-05-18T04:17:25.4793052Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_index_2d_neg_slice PASSED [ 42%]
2022-05-18T04:17:25.5319345Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_index_2d_sliceint PASSED [ 42%]
2022-05-18T04:17:25.5409465Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_index_add_dim_size_differ Warning: ONNX Preprocess - Removing mutation from node aten::index_add_ on block input: 'x.1'. This changes graph semantics.
2022-05-18T04:17:25.5649984Z Warning: ONNX Preprocess - Removing mutation from node aten::index_add_ on block input: '0'. This changes graph semantics.
2022-05-18T04:17:25.5896989Z PASSED [ 42%]
2022-05-18T04:17:25.5987527Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_index_add_dynamic_axes Warning: ONNX Preprocess - Removing mutation from node aten::index_add_ on block input: 'x.1'. This changes graph semantics.
2022-05-18T04:17:25.6237757Z Warning: ONNX Preprocess - Removing mutation from node aten::index_add_ on block input: '0'. This changes graph semantics.
2022-05-18T04:17:25.6492795Z PASSED [ 42%]
2022-05-18T04:17:25.6599165Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_index_add_if Warning: ONNX Preprocess - Removing mutation from node aten::index_add_ on block input: 'x.1'. This changes graph semantics.
2022-05-18T04:17:25.6600451Z Warning: ONNX Preprocess - Removing mutation from node aten::index_add_ on block input: 'x.1'. This changes graph semantics.
2022-05-18T04:17:25.6871319Z PASSED [ 43%]
2022-05-18T04:17:25.6969792Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_index_add_in_loop Warning: ONNX Preprocess - Removing mutation from node aten::index_add_ on block input: 'x.1'. This changes graph semantics.
2022-05-18T04:17:25.7438667Z Warning: ONNX Preprocess - Removing mutation from node aten::index_add_ on block input: '0'. This changes graph semantics.
2022-05-18T04:17:25.8050541Z PASSED [ 43%]
2022-05-18T04:17:25.8144846Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_index_add_normal Warning: ONNX Preprocess - Removing mutation from node aten::index_add_ on block input: 'x.1'. This changes graph semantics.
2022-05-18T04:17:25.8411083Z Warning: ONNX Preprocess - Removing mutation from node aten::index_add_ on block input: '0'. This changes graph semantics.
2022-05-18T04:17:25.8717733Z Warning: ONNX Preprocess - Removing mutation from node aten::index_add_ on block input: 'x.1'. This changes graph semantics.
2022-05-18T04:17:25.8952263Z Warning: ONNX Preprocess - Removing mutation from node aten::index_add_ on block input: '0'. This changes graph semantics.
2022-05-18T04:17:25.9259184Z Warning: ONNX Preprocess - Removing mutation from node aten::index_add_ on block input: 'x.1'. This changes graph semantics.
2022-05-18T04:17:25.9521847Z Warning: ONNX Preprocess - Removing mutation from node aten::index_add_ on block input: '0'. This changes graph semantics.
2022-05-18T04:17:25.9767977Z PASSED [ 43%]
2022-05-18T04:17:26.0257322Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_index_copy PASSED [ 43%]
2022-05-18T04:17:26.0779145Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_index_fill PASSED [ 43%]
2022-05-18T04:17:26.1466089Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_index_mask PASSED [ 43%]
2022-05-18T04:17:26.1881196Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_index_mask_nd PASSED [ 43%]
2022-05-18T04:17:26.2370154Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_index_put PASSED [ 43%]
2022-05-18T04:17:26.2870199Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_index_put_accumulate PASSED [ 44%]
2022-05-18T04:17:26.7116971Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_index_put_ellipsis PASSED [ 44%]
2022-05-18T04:17:27.7240471Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_index_put_if PASSED [ 44%]
2022-05-18T04:17:29.5429764Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_index_put_if_2 PASSED [ 44%]
2022-05-18T04:17:30.0336140Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_index_put_if_3 PASSED [ 44%]
2022-05-18T04:17:30.7064803Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_index_put_if_4 PASSED [ 44%]
2022-05-18T04:17:31.3688208Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_index_put_if_5 PASSED [ 44%]
2022-05-18T04:17:32.2081100Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_index_put_inplace_ops PASSED [ 44%]
2022-05-18T04:17:36.7873631Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_index_put_loop PASSED [ 45%]
2022-05-18T04:17:36.7992255Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_index_put_singular Warning: ONNX Preprocess - Removing mutation from node aten::index_put_ on block input: 'mask.1'. This changes graph semantics.
2022-05-18T04:17:36.8372900Z Warning: ONNX Preprocess - Removing mutation from node aten::index_put_ on block input: '0'. This changes graph semantics.
2022-05-18T04:17:36.8737955Z Warning: ONNX Preprocess - Removing mutation from node aten::index_put_ on block input: 'mask.1'. This changes graph semantics.
2022-05-18T04:17:36.9043253Z Warning: ONNX Preprocess - Removing mutation from node aten::index_put_ on block input: '0'. This changes graph semantics.
2022-05-18T04:17:36.9320662Z PASSED [ 45%]
2022-05-18T04:17:36.9446121Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_index_put_slice_index Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'update.1'. This changes graph semantics.
2022-05-18T04:17:37.2737251Z Warning: ONNX Preprocess - Removing mutation from node aten::index_put_ on block input: 'x.1'. This changes graph semantics.
2022-05-18T04:17:37.2737828Z Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'update.1'. This changes graph semantics.
2022-05-18T04:17:37.3389785Z Warning: ONNX Preprocess - Removing mutation from node aten::index_put_ on block input: '0'. This changes graph semantics.
2022-05-18T04:17:37.4367328Z Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'update.1'. This changes graph semantics.
2022-05-18T04:17:37.6470167Z Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'update.1'. This changes graph semantics.
2022-05-18T04:17:37.8064520Z Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'update.1'. This changes graph semantics.
2022-05-18T04:17:39.1134017Z PASSED [ 45%]
2022-05-18T04:17:39.2345140Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_index_put_to_masked_fill PASSED [ 45%]
2022-05-18T04:17:39.3107385Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_index_put_to_masked_scatter PASSED [ 45%]
2022-05-18T04:17:39.3450096Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_index_select_constant_scaler_index PASSED [ 45%]
2022-05-18T04:17:39.3880350Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_index_select_scaler_index PASSED [ 45%]
2022-05-18T04:17:39.4032536Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_initializer_sequence PASSED [ 45%]
2022-05-18T04:17:39.4558200Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_initializer_sequence_script_model PASSED [ 46%]
2022-05-18T04:17:39.4644662Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_inplace_arithmetic Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'x.1'. This changes graph semantics.
2022-05-18T04:17:39.4645356Z Warning: ONNX Preprocess - Removing mutation from node aten::mul_ on block input: 'y.1'. This changes graph semantics.
2022-05-18T04:17:39.4917057Z PASSED [ 46%]
2022-05-18T04:17:39.5021247Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_inplace_arithmetic_half Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'x.1'. This changes graph semantics.
2022-05-18T04:17:39.5197589Z Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: '0'. This changes graph semantics.
2022-05-18T04:17:39.5432127Z Warning: ONNX Preprocess - Removing mutation from node aten::mul_ on block input: 'x.1'. This changes graph semantics.
2022-05-18T04:17:39.5575250Z Warning: ONNX Preprocess - Removing mutation from node aten::mul_ on block input: '0'. This changes graph semantics.
2022-05-18T04:17:39.5707764Z PASSED [ 46%]
2022-05-18T04:17:39.8679349Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_inplace_attr_copy_with_loop PASSED [ 46%]
2022-05-18T04:17:39.9519563Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_inplace_attr_with_loop PASSED [ 46%]
2022-05-18T04:17:39.9621155Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_inplace_fill Warning: ONNX Preprocess - Removing mutation from node aten::fill_ on block input: 'x.1'. This changes graph semantics.
2022-05-18T04:17:39.9890006Z Warning: ONNX Preprocess - Removing mutation from node aten::fill_ on block input: '0'. This changes graph semantics.
2022-05-18T04:17:40.0219507Z Warning: ONNX Preprocess - Removing mutation from node aten::fill_ on block input: 'x.1'. This changes graph semantics.
2022-05-18T04:17:40.0477920Z Warning: ONNX Preprocess - Removing mutation from node aten::fill_ on block input: '0'. This changes graph semantics.
2022-05-18T04:17:40.0729979Z PASSED [ 46%]
2022-05-18T04:17:40.0822698Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_inplace_list Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'x.1'. This changes graph semantics.
2022-05-18T04:17:40.0823399Z Warning: ONNX Preprocess - Removing mutation from node aten::fill_ on block input: 'y.1'. This changes graph semantics.
2022-05-18T04:17:40.1319383Z Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'x.1'. This changes graph semantics.
2022-05-18T04:17:40.1320015Z Warning: ONNX Preprocess - Removing mutation from node aten::fill_ on block input: 'y.1'. This changes graph semantics.
2022-05-18T04:17:40.1769759Z PASSED [ 46%]
2022-05-18T04:17:40.1794776Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_inplace_sequence_with_loop SKIPPED [ 46%]
2022-05-18T04:17:40.2402455Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_inplace_with_loop PASSED [ 47%]
2022-05-18T04:17:40.5689410Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_inplace_with_loop_2 PASSED [ 47%]
2022-05-18T04:17:40.5793700Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_inplace_zero Warning: ONNX Preprocess - Removing mutation from node aten::zero_ on block input: 'x.1'. This changes graph semantics.
2022-05-18T04:17:40.6034333Z Warning: ONNX Preprocess - Removing mutation from node aten::zero_ on block input: '0'. This changes graph semantics.
2022-05-18T04:17:40.6334808Z Warning: ONNX Preprocess - Removing mutation from node aten::zero_ on block input: 'x.1'. This changes graph semantics.
2022-05-18T04:17:40.6565460Z Warning: ONNX Preprocess - Removing mutation from node aten::zero_ on block input: '0'. This changes graph semantics.
2022-05-18T04:17:40.6790759Z PASSED [ 47%]
2022-05-18T04:17:40.9062199Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_input_mask_model Warning: ONNX Preprocess - Removing mutation from node aten::index_put_ on block input: 'y.1'. This changes graph semantics.
2022-05-18T04:17:41.0080364Z Warning: ONNX Preprocess - Removing mutation from node aten::index_put_ on block input: '2'. This changes graph semantics.
2022-05-18T04:17:41.0711587Z PASSED [ 47%]
2022-05-18T04:17:41.2930369Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_instancenorm1d_norunningstats PASSED [ 47%]
2022-05-18T04:17:41.4733377Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_instancenorm1d_runningstats PASSED [ 47%]
2022-05-18T04:17:41.7252495Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_instancenorm2d_norunningstats PASSED [ 47%]
2022-05-18T04:17:41.9376927Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_instancenorm2d_runningstats PASSED [ 47%]
2022-05-18T04:17:49.6230796Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_instancenorm3d_norunningstats PASSED [ 48%]
2022-05-18T04:17:57.5449598Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_instancenorm3d_runningstats PASSED [ 48%]
2022-05-18T04:17:58.5848482Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_instancenorm_eval_mode_train_layer PASSED [ 48%]
2022-05-18T04:17:59.3563724Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_instancenorm_training PASSED [ 48%]
2022-05-18T04:18:00.1293623Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_instancenorm_training_mode_fix_layer PASSED [ 48%]
2022-05-18T04:18:00.1440962Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_interpolate_adaptive_pooling_error WARNING: The shape inference of aten::adaptive_avg_pool1d type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:00.1442105Z WARNING: The shape inference of aten::adaptive_avg_pool1d type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:00.1443758Z WARNING: The shape inference of aten::adaptive_avg_pool1d type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:00.1444640Z WARNING: The shape inference of aten::adaptive_avg_pool1d type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:00.1993359Z PASSED [ 48%]
2022-05-18T04:18:00.2411841Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_interpolate_downsample WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:00.2412938Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:00.2443898Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:00.2444755Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:00.2455662Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:00.2456504Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:00.2460272Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:00.2461113Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:00.2499342Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:00.2500223Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:00.2501086Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:00.2501930Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:00.2674645Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:00.2675540Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:00.2758119Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:00.2758990Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:00.2766672Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:00.2767608Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:00.2771610Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:00.2772573Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:00.2779141Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:00.2780008Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:00.2782769Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:00.2783738Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:00.3182849Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:00.3183791Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:00.3215634Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:00.3216484Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:00.3226290Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:00.3227150Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:00.3230767Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:00.3231620Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:00.3264276Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:00.3265135Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:00.3268090Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:00.3268937Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:00.3400929Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:00.3401806Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:00.3482642Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:00.3483264Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:00.3490367Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:00.3490893Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:00.3494124Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:00.3494969Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:00.3499951Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:00.3500672Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:00.3503049Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:00.3503622Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:00.3907640Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:00.3939824Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:00.3946994Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:00.3950116Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:00.3983932Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:00.3984699Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:00.4107425Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:00.4187932Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:00.4193253Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:00.4195545Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:00.4199130Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:00.4200281Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:00.4591437Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:00.4591959Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:00.4624549Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:00.4625044Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:00.4635055Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:00.4635541Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:00.4638979Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:00.4639481Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:00.4674521Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:00.4675023Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:00.4677941Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:00.4678426Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:00.4817166Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:00.4817843Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:00.4899863Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:00.4900355Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:00.4908223Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:00.4908745Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:00.4911530Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:00.4912189Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:00.4917764Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:00.4918255Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:00.4921214Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:00.4921697Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:00.5331334Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:00.5331847Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:00.5363834Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:00.5364354Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:00.5374753Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:00.5375384Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:00.5378479Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:00.5379140Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:00.5413872Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:00.5414707Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:00.5417822Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:00.5418339Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:00.5562050Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:00.5562658Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:00.5644430Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:00.5645270Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:00.5652129Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:00.5652620Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:00.5656105Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:00.5656600Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:00.5662285Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:00.5662895Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:00.5665544Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:00.5666043Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:00.6064251Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:00.6096589Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:00.6103794Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:00.6107005Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:00.6140660Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:00.6141818Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:00.6268723Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:00.6349172Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:00.6354958Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:00.6357183Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:00.6360974Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:00.6361977Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:00.6757104Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:00.6757977Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:00.6790917Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:00.6791806Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:00.6801821Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:00.6802721Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:00.6806130Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:00.6807028Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:00.6844760Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:00.6845632Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:00.6848357Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:00.6849204Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:00.7002349Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:00.7084494Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:00.7085350Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:00.7086199Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:00.7093454Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:00.7094389Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:00.7098736Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:00.7099922Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:00.7105936Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:00.7106872Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:00.7110742Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:00.7111701Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:00.7521844Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:00.7522714Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:00.7555252Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:00.7556109Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:00.7566630Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:00.7567480Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:00.7570754Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:00.7571595Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:00.7608620Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:00.7609476Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:00.7612530Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:00.7613372Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:00.7763951Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:00.7764872Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:00.7848060Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:00.7848957Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:00.7855843Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:00.7856722Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:00.7859939Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:00.7860791Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:00.7866450Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:00.7867304Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:00.7870231Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:00.8272159Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:00.8273072Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:00.8305512Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:00.8313101Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:00.8316719Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:00.8351516Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:00.8352762Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:00.8487903Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:00.8569028Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:00.8574818Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:00.8576667Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:00.8581818Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:00.8582904Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:00.8987332Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:00.8988246Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:00.9020655Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:00.9021545Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:00.9031403Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:00.9032236Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:00.9035569Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:00.9036442Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:00.9069941Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:00.9070829Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:00.9073214Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:00.9074044Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:00.9243614Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:00.9244472Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:00.9352088Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:00.9352948Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:00.9360584Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:00.9361560Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:00.9365655Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:00.9366619Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:00.9372676Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:00.9373827Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:00.9377433Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:00.9378614Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:00.9816605Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:00.9817537Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:00.9850854Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:00.9851759Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:00.9862169Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:00.9863384Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:00.9867198Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:00.9868063Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:00.9899566Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:00.9900490Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:00.9904156Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:00.9905093Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:01.0073273Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:01.0073939Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:01.0181054Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:01.0181551Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:01.0189334Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:01.0189863Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:01.0192937Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:01.0193672Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:01.0199051Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:01.0199719Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:01.0202349Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:01.0203069Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:01.0605332Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:01.0606024Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:01.0638524Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:01.0639286Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:01.0648669Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:01.0649371Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:01.0652662Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:01.0653406Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:01.0684166Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:01.0685010Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:01.0687795Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:01.0688495Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:01.0856297Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:01.0856962Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:01.0963158Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:01.0963859Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:01.0970881Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:01.0971579Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:01.0974896Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:01.0975586Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:01.0981059Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:01.0981760Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:01.0984321Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:01.0985137Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:01.1376820Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:01.1408977Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:01.1416477Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:01.1419722Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:01.1449335Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:01.1450497Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:01.1607199Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:01.1714091Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:01.1719298Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:01.1721418Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:01.1725012Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:01.1726158Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:01.2107042Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:01.2138851Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:01.2145953Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:01.2149081Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:01.2178184Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:01.2179580Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:01.2334120Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:01.2440073Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:01.2445689Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:01.2447918Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:01.2451453Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:01.2452686Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:01.2842881Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:01.2843618Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:01.2876210Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:01.2876794Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:01.2886027Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:01.2886537Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:01.2889911Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:01.2890388Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:01.2917650Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:01.2918134Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:01.2921099Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:01.2921667Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:01.3091055Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:01.3091580Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:01.3198868Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:01.3199516Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:01.3206342Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:01.3206833Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:01.3209896Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:01.3210385Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:01.3215659Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:01.3216256Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:01.3218966Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:01.3219438Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:01.3643427Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:01.3643944Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:01.3676611Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:01.3677210Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:01.3686653Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:01.3687272Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:01.3690283Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:01.3690999Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:01.3718871Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:01.3719555Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:01.3722062Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:01.3722895Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:01.3892590Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:01.3893233Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:01.4003880Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:01.4004574Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:01.4011621Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:01.4012225Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:01.4015259Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:01.4015949Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:01.4021059Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:01.4021774Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:01.4024694Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:01.4025416Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:01.4425282Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:01.4425951Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:01.4458618Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:01.4459221Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:01.4468660Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:01.4469157Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:01.4472745Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:01.4473420Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:01.4501867Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:01.4502691Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:01.4505097Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:01.4505593Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:01.4673800Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:01.4674309Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:01.4781235Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:01.4781764Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:01.4788870Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:01.4789408Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:01.4792633Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:01.4793130Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:01.4798535Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:01.4802102Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:01.4802828Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:01.4803312Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:01.5192205Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:01.5224073Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:01.5231445Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:01.5234721Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:01.5261456Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:01.5262842Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:01.5418314Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:01.5524059Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:01.5529377Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:01.5531393Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:01.5535174Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:01.5536512Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:01.5915494Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:01.5947793Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:01.5955048Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:01.5958370Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:01.5984719Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:01.5985904Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:01.6141006Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:01.6246074Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:01.6252083Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:01.6254487Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:01.6258218Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:01.6259458Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:01.6291937Z PASSED [ 48%]
2022-05-18T04:18:01.6590576Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_interpolate_function_substitution WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:01.6599372Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:01.6624943Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:01.6908618Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:01.6917519Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:01.6943029Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:01.7133179Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:01.7142891Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:01.7149235Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:01.7179650Z PASSED [ 48%]
2022-05-18T04:18:01.7592761Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_interpolate_no_shape WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:01.7593372Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:01.7710165Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:01.7710675Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:01.7719463Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:01.7719957Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:01.7726848Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:01.7727544Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:01.7761616Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:01.7762130Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:01.7768967Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:01.7769458Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:01.8116464Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:01.8117156Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:01.8236304Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:01.8236827Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:01.8245355Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:01.8245836Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:01.8251727Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:01.8252215Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:01.8263456Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:01.8263980Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:01.8266739Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:01.8267251Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:01.8313535Z PASSED [ 49%]
2022-05-18T04:18:01.8694072Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_interpolate_upsample WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:01.8694807Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:01.8726348Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:01.8726875Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:01.8736437Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:01.8736935Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:01.8740231Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:01.8740708Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:01.8773986Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:01.8774473Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:01.8777238Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:01.8777721Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:01.8913211Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:01.8913700Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:01.8996216Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:01.8996744Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:01.9002702Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:01.9003277Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:01.9006772Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:01.9007331Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:01.9013039Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:01.9013588Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:01.9016854Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:01.9017402Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:01.9419588Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:01.9420089Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:01.9452357Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:01.9452877Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:01.9462250Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:01.9462754Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:01.9465865Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:01.9466366Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:01.9499185Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:01.9499678Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:01.9502723Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:01.9503273Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:01.9637540Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:01.9638219Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:01.9719362Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:01.9719873Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:01.9727013Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:01.9727538Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:01.9731106Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:01.9731677Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:01.9737265Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:01.9737813Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:01.9740824Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:01.9741321Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.0126974Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.0158966Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.0166215Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.0169925Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.0203065Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.0204019Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.0326063Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.0406113Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.0411635Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.0414244Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.0418293Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.0419294Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.0821731Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.0822708Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.0854980Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.0855851Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.0866176Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.0867319Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.0870874Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.0872037Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.0907902Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.0908846Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.0912136Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.0913094Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.1053999Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.1055099Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.1136648Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.1137546Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.1145239Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.1146196Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.1150083Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.1151032Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.1157030Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.1157560Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.1160429Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.1161116Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.1565128Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.1565770Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.1597468Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.1598297Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.1607300Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.1608008Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.1611091Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.1611789Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.1646496Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.1647202Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.1650012Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.1650656Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.1789641Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.1790337Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.1871469Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.1872142Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.1879189Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.1880037Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.1882828Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.1883462Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.1888687Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.1889451Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.1892098Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.1892883Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.2280268Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.2312780Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.2320364Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.2323515Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.2356632Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.2357671Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.2483469Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.2563353Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.2568998Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.2571217Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.2574827Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.2575943Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.2973713Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.2974918Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.3006800Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.3007651Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.3017797Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.3018643Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.3021811Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.3022771Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.3059076Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.3059920Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.3062637Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.3063498Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.3222491Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.3223447Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.3304866Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.3305736Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.3313146Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.3313979Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.3317633Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.3318485Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.3324048Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.3325107Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.3327960Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.3328801Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.3743508Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.3744387Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.3776792Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.3777628Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.3787262Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.3788106Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.3791421Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.3792279Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.3829739Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.3830598Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.3833671Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.3834519Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.3991496Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.3992396Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.4073140Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.4074201Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.4081410Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.4082488Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.4085599Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.4086442Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.4091828Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.4092675Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.4095403Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.4096437Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.4497766Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.4534012Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.4542212Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.4546824Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.4581086Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.4582338Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.4712055Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.4793229Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.4798578Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.4801151Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.4805044Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.4806253Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.5198138Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.5199010Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.5231389Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.5232243Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.5242120Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.5242967Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.5246808Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.5247659Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.5278822Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.5279704Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.5282579Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.5283434Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.5451264Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.5452121Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.5558907Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.5559764Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.5567282Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.5568129Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.5571833Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.5572739Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.5577869Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.5578735Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.5581467Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.5582500Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.6010993Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.6011923Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.6045628Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.6046486Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.6056292Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.6057395Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.6061046Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.6062047Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.6092922Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.6093870Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.6097530Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.6098479Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.6266144Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.6267083Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.6374425Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.6375453Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.6383335Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.6384296Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.6388132Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.6389088Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.6395170Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.6396111Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.6399799Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.6400333Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.6800044Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.6800573Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.6833521Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.6834031Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.6843603Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.6844096Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.6847885Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.6848606Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.6879603Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.6880302Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.6883127Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.6883817Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.7052123Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.7052819Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.7163278Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.7163964Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.7171431Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.7172279Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.7175727Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.7176414Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.7181682Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.7182381Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.7185284Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.7185977Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.7577964Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.7610533Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.7617732Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.7621174Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.7650231Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.7651197Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.7806822Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.7912447Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.7918018Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.7920329Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.7923894Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.7925141Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.8303533Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.8336027Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.8343180Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.8346549Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.8375719Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.8377057Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.8531865Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.8637824Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.8643583Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.8645700Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.8649372Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.8650545Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.9040356Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.9041023Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.9073169Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.9074332Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.9083245Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.9083741Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.9087233Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.9087721Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.9116304Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.9116874Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.9119676Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.9120160Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.9291442Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.9291963Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.9402586Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.9403071Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.9410313Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.9410846Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.9413941Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.9414434Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.9419844Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.9420327Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.9423081Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.9423775Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.9855581Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.9856096Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.9891363Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.9891844Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.9901858Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.9902575Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.9905885Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.9906454Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.9935244Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.9935802Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.9938565Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:02.9939069Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:03.0111061Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:03.0111559Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:03.0218858Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:03.0219365Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:03.0226924Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:03.0227415Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:03.0230763Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:03.0231448Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:03.0236780Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:03.0237275Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:03.0240147Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:03.0240638Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:03.0645061Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:03.0645710Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:03.0680855Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:03.0681386Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:03.0691422Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:03.0691946Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:03.0695371Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:03.0695877Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:03.0723481Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:03.0723979Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:03.0726850Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:03.0727350Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:03.0898619Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:03.0899153Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:03.1005808Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:03.1006469Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:03.1013718Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:03.1014205Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:03.1017802Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:03.1018297Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:03.1023911Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:03.1024409Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:03.1027330Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:03.1027813Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:03.1418727Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:03.1451055Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:03.1458321Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:03.1461612Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:03.1488023Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:03.1489161Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:03.1645859Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:03.1751231Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:03.1756690Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:03.1758751Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:03.1762159Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:03.1763579Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:03.2140205Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:03.2172336Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:03.2179766Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:03.2183281Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:03.2209092Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:03.2210237Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:03.2365110Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:03.2469488Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:03.2475091Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:03.2477326Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:03.2480663Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:03.2481961Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:18:03.2515772Z PASSED [ 49%]
2022-05-18T04:18:03.2538520Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_interpolate_upsample_trace SKIPPED [ 49%]
2022-05-18T04:18:03.2772527Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_isfinite PASSED [ 49%]
2022-05-18T04:18:03.2987858Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_isinf PASSED [ 49%]
2022-05-18T04:18:03.3195121Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_isnan PASSED [ 49%]
2022-05-18T04:18:03.3467468Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_item PASSED [ 49%]
2022-05-18T04:18:03.3484004Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_keypoint_rcnn SKIPPED [ 49%]
2022-05-18T04:18:04.0337621Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_kldiv_loss PASSED [ 50%]
2022-05-18T04:18:04.0752202Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_l1_norm PASSED [ 50%]
2022-05-18T04:18:04.1155209Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_l2_norm PASSED [ 50%]
2022-05-18T04:18:41.2909371Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_large_model_with_external_data PASSED [ 50%]
2022-05-18T04:19:05.8758454Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_large_model_with_non_str_file PASSED [ 50%]
2022-05-18T04:19:05.9298382Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_layer_norm PASSED [ 50%]
2022-05-18T04:19:06.0116415Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_le PASSED [ 50%]
2022-05-18T04:19:06.0640671Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_le_scalar PASSED [ 50%]
2022-05-18T04:19:06.0903627Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_len PASSED [ 51%]
2022-05-18T04:19:06.1146828Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_len_list PASSED [ 51%]
2022-05-18T04:19:06.1926100Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_linalg_cross PASSED [ 51%]
2022-05-18T04:19:06.8165745Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_linalg_matrix_norm PASSED [ 51%]
2022-05-18T04:19:07.8050772Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_linalg_norm PASSED [ 51%]
2022-05-18T04:19:08.6185585Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_linalg_vector_norm PASSED [ 51%]
2022-05-18T04:19:08.6606411Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_linalg_vector_norm_zero PASSED [ 51%]
2022-05-18T04:19:08.7402047Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_linear PASSED [ 51%]
2022-05-18T04:19:08.7832453Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_linspace PASSED [ 52%]
2022-05-18T04:19:08.8268263Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_linspace_negative_start PASSED [ 52%]
2022-05-18T04:19:08.9142069Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_list PASSED [ 52%]
2022-05-18T04:19:08.9270459Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_list_append Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'res.11'. This changes graph semantics.
2022-05-18T04:19:08.9625378Z PASSED [ 52%]
2022-05-18T04:19:09.0053802Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_list_append_in_block PASSED [ 52%]
2022-05-18T04:19:09.0614120Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_list_append_in_nested_block PASSED [ 52%]
2022-05-18T04:19:09.0747350Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_list_append_nested Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'res.11'. This changes graph semantics.
2022-05-18T04:19:09.1227728Z PASSED [ 52%]
2022-05-18T04:19:09.1250248Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_list_append_nested_2 SKIPPED [ 52%]
2022-05-18T04:19:09.1896287Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_list_append_nested_mixed_dtype PASSED [ 53%]
2022-05-18T04:19:09.2024131Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_list_del Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'res.13'. This changes graph semantics.
2022-05-18T04:19:09.2430616Z PASSED [ 53%]
2022-05-18T04:19:09.3190029Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_list_del_in_block PASSED [ 53%]
2022-05-18T04:19:09.3337469Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_list_del_nested Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'res.19'. This changes graph semantics.
2022-05-18T04:19:09.3974481Z PASSED [ 53%]
2022-05-18T04:19:09.4553452Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_list_idx_sum PASSED [ 53%]
2022-05-18T04:19:10.1811111Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_list_pass PASSED [ 53%]
2022-05-18T04:19:10.1939092Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_list_pop Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'res.13'. This changes graph semantics.
2022-05-18T04:19:10.2351794Z PASSED [ 53%]
2022-05-18T04:19:10.3212706Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_list_pop_in_block PASSED [ 53%]
2022-05-18T04:19:10.3363904Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_list_pop_nested Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'res.19'. This changes graph semantics.
2022-05-18T04:19:10.4040951Z PASSED [ 54%]
2022-05-18T04:19:10.4519339Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_list_set PASSED [ 54%]
2022-05-18T04:19:10.5360168Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_list_unpack PASSED [ 54%]
2022-05-18T04:19:10.6735933Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_listunpack PASSED [ 54%]
2022-05-18T04:19:10.6948024Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_log PASSED [ 54%]
2022-05-18T04:19:10.7169189Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_log10 PASSED [ 54%]
2022-05-18T04:19:10.7393769Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_log1p PASSED [ 54%]
2022-05-18T04:19:10.7613338Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_logdet PASSED [ 54%]
2022-05-18T04:19:10.8488055Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_logical_and PASSED [ 55%]
2022-05-18T04:19:10.9368281Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_logical_or PASSED [ 55%]
2022-05-18T04:19:11.0251514Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_logical_xor PASSED [ 55%]
2022-05-18T04:19:11.1773369Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_logsoftmax PASSED [ 55%]
2022-05-18T04:19:11.3786604Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_logsoftmax_dim PASSED [ 55%]
2022-05-18T04:19:11.4137791Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_logsoftmax_dtype PASSED [ 55%]
2022-05-18T04:19:11.4792117Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_loop_dynamic PASSED [ 55%]
2022-05-18T04:19:11.5320025Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_loop_multi_dim PASSED [ 55%]
2022-05-18T04:19:11.6486091Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_loop_nested PASSED [ 56%]
2022-05-18T04:19:11.6613432Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_loop_transpose Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'res.11'. This changes graph semantics.
2022-05-18T04:19:11.7026577Z PASSED [ 56%]
2022-05-18T04:19:11.7193785Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_loop_with_list Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'res4.11'. This changes graph semantics.
2022-05-18T04:19:11.7194538Z Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'res2.11'. This changes graph semantics.
2022-05-18T04:19:11.8369977Z PASSED [ 56%]
2022-05-18T04:19:11.9815293Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_lower_tuple PASSED [ 56%]
2022-05-18T04:19:12.0009566Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_lower_tuple_2 PASSED [ 56%]
2022-05-18T04:19:12.1661506Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_lower_tuple_3 PASSED [ 56%]
2022-05-18T04:19:12.3403416Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_lstm WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:12.3495848Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:12.3575278Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:12.3927944Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:12.3985481Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:12.4018025Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:12.4059479Z PASSED [ 56%]
2022-05-18T04:19:12.4545580Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_lstm_cell WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:12.4634058Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:12.4695124Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:12.5841283Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:12.5864891Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:12.5906002Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:12.5918959Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:12.5955226Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:12.5955764Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:12.6666517Z PASSED [ 56%]
2022-05-18T04:19:12.8763004Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_lstm_constant_folding WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:12.9066828Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:12.9244975Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:12.9666564Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:12.9927017Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:13.0078234Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:13.2102491Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:13.2346564Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:13.2499723Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:13.2917338Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:13.3116657Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:13.3229940Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:13.3315217Z PASSED [ 57%]
2022-05-18T04:19:13.4910664Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_lstm_default_init_state WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:13.5003486Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:13.5078155Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:13.5930582Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:13.5991040Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:13.6034195Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:13.6096812Z PASSED [ 57%]
2022-05-18T04:19:13.7746182Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_lstm_fixed_batch_size WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:13.7838570Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:13.7919240Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:13.8776278Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:13.8835852Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:13.8869039Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:13.8921635Z PASSED [ 57%]
2022-05-18T04:19:14.0687594Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_lstm_no_bias WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:14.0740825Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:14.0786314Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:14.0811815Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:14.0874595Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:14.0875099Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:14.1232770Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:14.1280990Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:14.1297131Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:14.1324035Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:14.1333760Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:14.1334322Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:14.3012383Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:14.3039152Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:14.3075873Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:14.3088838Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:14.3144925Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:14.3145488Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:14.3486643Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:14.3510882Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:14.3519063Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:14.3532057Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:14.3538397Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:14.3538978Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:14.5423189Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:14.5476359Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:14.5545251Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:14.5608713Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:14.5634358Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:14.5666228Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:14.5739828Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:14.5740330Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:14.5746889Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:14.6144455Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:14.6193664Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:14.6256415Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:14.6288271Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:14.6317156Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:14.6353472Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:14.6369538Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:14.6370072Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:14.6376637Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:14.8180631Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:14.8207464Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:14.8244997Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:14.8282646Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:14.8339551Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:14.8352553Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:14.8370492Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:14.8388840Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:14.8457656Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:14.8458204Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:14.8464997Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:14.8470442Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:14.8866143Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:14.8890898Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:14.8926155Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:14.8961612Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:14.8988195Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:14.9002452Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:14.9022291Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:14.9042076Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:14.9055737Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:14.9056304Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:14.9063005Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:14.9068421Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:14.9144080Z PASSED [ 57%]
2022-05-18T04:19:15.1058329Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_lstm_no_hidden WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:15.1159442Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:15.1242223Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:15.2130578Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:15.2192082Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:15.2237707Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:15.2305310Z PASSED [ 57%]
2022-05-18T04:19:15.3952399Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_lstm_post_fix_init_state WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:15.4053241Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:15.4137895Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:15.4997099Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:15.5064518Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:15.5102349Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:15.5167657Z PASSED [ 57%]
2022-05-18T04:19:15.7180266Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_lstm_proj_no_hidden WARNING: The shape inference of aten::lstm type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:15.7181315Z WARNING: The shape inference of aten::lstm type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:15.7182161Z WARNING: The shape inference of aten::lstm type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:15.7228371Z WARNING: The shape inference of aten::lstm type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:15.7229220Z WARNING: The shape inference of aten::lstm type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:15.7230072Z WARNING: The shape inference of aten::lstm type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:15.7253059Z PASSED [ 57%]
2022-05-18T04:19:16.0577796Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_lstm_sequence WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:16.1050667Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:16.1267316Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:16.1328941Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:16.1516860Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:16.1526395Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:16.2658235Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:16.3518208Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:16.3699579Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:16.3780603Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:16.3871669Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:16.3883119Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:16.3977108Z PASSED [ 57%]
2022-05-18T04:19:16.4423050Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_lstm_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:16.4423753Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:16.5199023Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:16.5199555Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:16.6105151Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:16.6105690Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:16.6879447Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:16.6880031Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:16.7374872Z PASSED [ 58%]
2022-05-18T04:19:16.7820170Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_lstm_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:16.7820944Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:16.8591261Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:16.8591790Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:16.9493757Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:16.9494336Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:17.0267041Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:17.0267637Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:17.0762366Z PASSED [ 58%]
2022-05-18T04:19:17.1205305Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_lstm_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:17.1206063Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:17.1977838Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:17.1978383Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:17.2878001Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:17.2878565Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:17.3653590Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:17.3654250Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:17.4143265Z PASSED [ 58%]
2022-05-18T04:19:17.4586616Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_lstm_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:17.4587324Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:17.5359482Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:17.5360195Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:17.6258209Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:17.6258838Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:17.7037696Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:17.7038232Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:17.7534928Z PASSED [ 58%]
2022-05-18T04:19:17.8460067Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_lstm_trilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:17.8878651Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:17.9168286Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:18.0193020Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:18.0607057Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:18.0899434Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:18.1039250Z PASSED [ 58%]
2022-05-18T04:19:18.1958573Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_lstm_trilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:18.2375797Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:18.2664743Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:18.3689809Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:18.4109909Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:18.4400188Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:18.4539883Z PASSED [ 58%]
2022-05-18T04:19:18.4979551Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_lstm_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:18.4981200Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:18.5699288Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:18.5700236Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:18.6513354Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:18.6514402Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:18.7235543Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:18.7236537Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:18.7643754Z PASSED [ 58%]
2022-05-18T04:19:18.8080718Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_lstm_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:18.8082055Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:18.8802249Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:18.8803227Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:18.9614955Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:18.9615992Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:19.0341523Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:19.0342438Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:19.0753849Z PASSED [ 58%]
2022-05-18T04:19:19.1193735Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_lstm_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:19.1195048Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:19.1914913Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:19.1915851Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:19.2725986Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:19.2727013Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:19.3452606Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:19.3453820Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:19.3861318Z PASSED [ 59%]
2022-05-18T04:19:19.4302283Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_lstm_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:19.4303698Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:19.5027542Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:19.5028489Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:19.5839563Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:19.5840604Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:19.6566004Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:19.6566920Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:19.6972329Z PASSED [ 59%]
2022-05-18T04:19:19.7396226Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_lstm_trilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:19.7801522Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:19.8056310Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:19.8536663Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:19.8942860Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:19.9195955Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:19.9289043Z PASSED [ 59%]
2022-05-18T04:19:19.9710541Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_lstm_trilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:20.0118207Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:20.0374904Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:20.0859930Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:20.1270660Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:20.1524190Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:20.1619466Z PASSED [ 59%]
2022-05-18T04:19:20.2016570Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_lstm_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:20.2017903Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:20.2597944Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:20.2598888Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:20.3283378Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:20.3284384Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:20.3866315Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:20.3867256Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:20.4192159Z PASSED [ 59%]
2022-05-18T04:19:20.4592626Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_lstm_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:20.4593972Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:20.5176547Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:20.5177494Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:20.5862199Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:20.5863572Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:20.6442330Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:20.6443266Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:20.6766718Z PASSED [ 59%]
2022-05-18T04:19:20.7161144Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_lstm_trilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:20.7162458Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:20.7741358Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:20.7742282Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:20.8414322Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:20.8415501Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:20.8993859Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:20.8994734Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:20.9306554Z PASSED [ 59%]
2022-05-18T04:19:20.9696899Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_lstm_trilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:20.9698507Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:21.0278586Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:21.0279438Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:21.0957732Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:21.0958757Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:21.1540413Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:21.1541641Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:21.1857544Z PASSED [ 59%]
2022-05-18T04:19:21.2719654Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_lstm_trilayer_forward_no_initial_state_without_sequence_lengths_with_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:21.2926915Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:21.3076722Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:21.4040148Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:21.4246904Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:21.4395825Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:21.4525571Z PASSED [ 60%]
2022-05-18T04:19:21.5391267Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_lstm_trilayer_forward_no_initial_state_without_sequence_lengths_without_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:21.5600895Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:21.5750411Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:21.6713400Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:21.6921016Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:21.7070834Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:21.7199868Z PASSED [ 60%]
2022-05-18T04:19:21.7586049Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_lstm_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:21.7587350Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:21.8116004Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:21.8117200Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:21.8706114Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:21.8707123Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:21.9233419Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:21.9234371Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:21.9469643Z PASSED [ 60%]
2022-05-18T04:19:21.9854282Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_lstm_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:21.9855767Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:22.0385358Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:22.0386306Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:22.0977370Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:22.0978371Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:22.1505899Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:22.1506788Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:22.1743471Z PASSED [ 60%]
2022-05-18T04:19:22.2131642Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_lstm_trilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:22.2132358Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:22.2660144Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:22.2661059Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:22.3249825Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:22.3250583Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:22.3775940Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:22.3776466Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:22.4011117Z PASSED [ 60%]
2022-05-18T04:19:22.4391985Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_lstm_trilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:22.4392698Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:22.4923848Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:22.4924369Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:22.5507201Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:22.5507880Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:22.6035763Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:22.6036442Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:22.6268499Z PASSED [ 60%]
2022-05-18T04:19:22.6640313Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_lstm_trilayer_forward_with_initial_state_without_sequence_lengths_with_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:22.6841856Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:22.6956246Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:22.7381120Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:22.7581920Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:22.7696126Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:22.7780793Z PASSED [ 60%]
2022-05-18T04:19:22.8152638Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_lstm_trilayer_forward_with_initial_state_without_sequence_lengths_without_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:22.8356524Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:22.8477742Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:22.8912991Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:22.9117350Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:22.9237871Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:22.9325533Z PASSED [ 60%]
2022-05-18T04:19:22.9708760Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_lstm_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:22.9709473Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:23.0209982Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:23.0210557Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:23.0728617Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:23.0729143Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:23.1228847Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:23.1229406Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:23.1401952Z PASSED [ 60%]
2022-05-18T04:19:23.1778476Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_lstm_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:23.1779210Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:23.2280802Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:23.2281549Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:23.2804708Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:23.2805273Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:23.3307179Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:23.3307728Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:23.3483083Z PASSED [ 61%]
2022-05-18T04:19:23.3859269Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_lstm_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:23.3859979Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:23.4358644Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:23.4359226Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:23.4867252Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:23.4867905Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:23.5366641Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:23.5367190Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:23.5533210Z PASSED [ 61%]
2022-05-18T04:19:23.5909835Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_lstm_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:23.5910550Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:23.6411826Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:23.6412514Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:23.6930978Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:23.6931549Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:23.7429954Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:23.7430687Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:23.7595562Z PASSED [ 61%]
2022-05-18T04:19:23.8436190Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_lstm_unilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:23.8554994Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:23.8631310Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:23.9508999Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:23.9627617Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:23.9704566Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:23.9769517Z PASSED [ 61%]
2022-05-18T04:19:24.0610564Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_lstm_unilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:24.0729900Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:24.0807780Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:24.1683119Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:24.1803022Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:24.1880482Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:24.1946780Z PASSED [ 61%]
2022-05-18T04:19:24.2319252Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_lstm_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:24.2320178Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:24.2768651Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:24.2769178Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:24.3243076Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:24.3243612Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:24.3690720Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:24.3691240Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:24.3828529Z PASSED [ 61%]
2022-05-18T04:19:24.4196843Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_lstm_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:24.4197553Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:24.4645469Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:24.4645996Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:24.5118186Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:24.5118697Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:24.5565791Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:24.5566319Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:24.5701930Z PASSED [ 61%]
2022-05-18T04:19:24.6067759Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_lstm_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:24.6068510Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:24.6515944Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:24.6516461Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:24.6983635Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:24.6984156Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:24.7433599Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:24.7434232Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:24.7568508Z PASSED [ 61%]
2022-05-18T04:19:24.7936924Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_lstm_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:24.7937637Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:24.8386753Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:24.8387287Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:24.8853672Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:24.8854206Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:24.9303486Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:24.9304254Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:24.9435126Z PASSED [ 62%]
2022-05-18T04:19:24.9790805Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_lstm_unilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:24.9908221Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:24.9974856Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:25.0344135Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:25.0460745Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:25.0527342Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:25.0570397Z PASSED [ 62%]
2022-05-18T04:19:25.0923405Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_lstm_unilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:25.1040709Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:25.1108041Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:25.1472716Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:25.1589596Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:25.1656342Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:25.1698915Z PASSED [ 62%]
2022-05-18T04:19:25.2058195Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_lstm_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:25.2058903Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:25.2505285Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:25.2505792Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:25.2959945Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:25.2960468Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:25.3403042Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:25.3403569Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:25.3535883Z PASSED [ 62%]
2022-05-18T04:19:25.3897677Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_lstm_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:25.3898381Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:25.4341557Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:25.4342077Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:25.4797296Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:25.4797823Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:25.5242329Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:25.5242861Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:25.5373416Z PASSED [ 62%]
2022-05-18T04:19:25.5739663Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_lstm_unilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:25.5740381Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:25.6190417Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:25.6191154Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:25.6646085Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:25.6647001Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:25.7093179Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:25.7093905Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:25.7217305Z PASSED [ 62%]
2022-05-18T04:19:25.7579777Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_lstm_unilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:25.7580546Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:25.8024447Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:25.8025059Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:25.8474951Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:25.8475692Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:25.8921346Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:25.8922080Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:25.9041818Z PASSED [ 62%]
2022-05-18T04:19:25.9861435Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_lstm_unilayer_forward_no_initial_state_without_sequence_lengths_with_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:25.9920856Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:25.9963306Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:26.0814177Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:26.0874063Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:26.0916729Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:26.0976724Z PASSED [ 62%]
2022-05-18T04:19:26.1796014Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_lstm_unilayer_forward_no_initial_state_without_sequence_lengths_without_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:26.1856064Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:26.1898510Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:26.2755950Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:26.2816380Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:26.2858917Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:26.2919169Z PASSED [ 63%]
2022-05-18T04:19:26.3269431Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_lstm_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:26.3270154Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:26.3661194Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:26.3661915Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:26.4071551Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:26.4072261Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:26.4467618Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:26.4468349Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:26.4559766Z PASSED [ 63%]
2022-05-18T04:19:26.4913611Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_lstm_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:26.4914323Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:26.5308004Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:26.5308826Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:26.5720685Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:26.5721239Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:26.6115808Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:26.6116719Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:26.6208545Z PASSED [ 63%]
2022-05-18T04:19:26.6558336Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_lstm_unilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:26.6559669Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:26.6954401Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:26.6955399Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:26.7362404Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:26.7363429Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:26.7756880Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:26.7757761Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:26.7847652Z PASSED [ 63%]
2022-05-18T04:19:26.8200208Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_lstm_unilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:26.8201564Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:26.8597312Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:26.9006543Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:26.9007538Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:26.9400580Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:26.9401428Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:26.9402365Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:26.9490831Z PASSED [ 63%]
2022-05-18T04:19:26.9830203Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_lstm_unilayer_forward_with_initial_state_without_sequence_lengths_with_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:26.9888890Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:26.9923303Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:27.0275559Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:27.0334738Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:27.0368519Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:27.0410321Z PASSED [ 63%]
2022-05-18T04:19:27.0750304Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_lstm_unilayer_forward_with_initial_state_without_sequence_lengths_without_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:27.0808935Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:27.0843461Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:27.1198583Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:27.1257628Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:27.1291802Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:27.1335053Z PASSED [ 63%]
2022-05-18T04:19:27.2156913Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_lt PASSED [ 63%]
2022-05-18T04:19:27.2681020Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_lt_scalar PASSED [ 64%]
2022-05-18T04:19:29.9592667Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_mask_rcnn WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:29.9594094Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:39.6764532Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:39.6765434Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:39.8905999Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:39.8906918Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:40.1063883Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:40.1064473Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:46.5935235Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:46.6191645Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:53.7013440Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:19:53.7313903Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:20:01.0231270Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:20:02.6899525Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:20:02.6900072Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:20:03.3146065Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:20:03.3146652Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:20:03.3448012Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:20:03.8500817Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:20:03.8501364Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:20:03.8587819Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:20:03.8588580Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:20:03.8674147Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:20:03.8674640Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:20:04.1594605Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:20:04.1610245Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:20:04.5266255Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:20:04.5281815Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:20:04.7401665Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:20:04.7464683Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:20:04.7875695Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:20:04.7876267Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:20:04.8694900Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:20:04.8695591Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:20:04.8916261Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:20:05.0163919Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:20:05.0164632Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:20:05.0242119Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:20:05.0242620Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:20:05.0319063Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:20:05.0319548Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:20:05.2393382Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:20:05.2396751Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:20:05.5604850Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:20:05.5608290Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:20:05.7388918Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:20:05.7415603Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:20:05.7763269Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:20:05.7763791Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:20:10.1099008Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:20:10.1099551Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:20:19.7784021Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:20:19.7784618Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:20:19.9921047Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:20:19.9921759Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:20:20.2073879Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:20:20.2074515Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:20:26.6969566Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:20:26.7226062Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:20:33.8552615Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:20:33.8854316Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:20:41.1724086Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:20:42.8381532Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:20:42.8382137Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:20:43.4701271Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:20:43.4701814Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:20:43.4990951Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:20:43.9708323Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:20:43.9708866Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:20:43.9795109Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:20:43.9795794Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:20:43.9878065Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:20:43.9878827Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:20:44.2611575Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:20:44.2626273Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:20:44.6114715Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:20:44.6130807Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:20:44.8120931Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:20:44.8180099Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:20:44.8600089Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:20:44.8600599Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:20:44.9455175Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:20:44.9455778Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:20:44.9663744Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:20:45.0781227Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:20:45.0781750Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:20:45.0855075Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:20:45.0855828Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:20:45.0927364Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:20:45.0927862Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:20:45.2875898Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:20:45.2879235Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:20:45.5960400Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:20:45.5963456Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:20:45.7635597Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:20:45.7660991Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:20:45.8007325Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:20:45.8007847Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:20:50.2785097Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:20:50.2785625Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:21:00.0016647Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:21:00.2170852Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:21:00.2171400Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:21:00.2171902Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:21:00.4331943Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:21:00.4332475Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:21:06.9525516Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:21:06.9783653Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:21:14.1321894Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:21:14.1626438Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:21:21.4980176Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:21:23.1663290Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:21:23.1665277Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:21:23.8016047Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:21:23.8017463Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:21:23.8308870Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:21:24.3122979Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:21:24.3123522Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:21:24.3210424Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:21:24.3210953Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:21:24.3293290Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:21:24.6052494Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:21:24.6053032Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:21:24.6067831Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:21:24.9594500Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:21:24.9609275Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:21:25.1623491Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:21:25.1683243Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:21:25.2107637Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:21:25.2108221Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:21:25.2963308Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:21:25.2963904Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:21:25.3171197Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:21:25.4318109Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:21:25.4318622Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:21:25.4391652Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:21:25.4392291Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:21:25.4464325Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:21:25.4464836Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:21:25.6417313Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:21:25.6420563Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:21:25.9511909Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:21:25.9514848Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:21:26.1188203Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:21:26.1213129Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:21:26.1559194Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:21:26.1559734Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:21:32.9551308Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:21:32.9552286Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:21:42.6674712Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:21:42.6675611Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:21:42.8813741Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:21:42.8814904Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:21:43.0975586Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:21:43.0976215Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:21:49.5925661Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:21:49.6193031Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:21:56.7434798Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:21:56.7737934Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:22:04.0985234Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:22:05.7702894Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:22:05.7704034Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:22:06.4006035Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:22:06.4006567Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:22:06.4293063Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:22:06.9090546Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:22:06.9091084Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:22:06.9173732Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:22:06.9174271Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:22:06.9256397Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:22:06.9256909Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:22:07.2026438Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:22:07.2041227Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:22:07.5555947Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:22:07.5570778Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:22:07.7573792Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:22:07.7633660Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:22:07.8049258Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:22:07.8049789Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:22:07.8902424Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:22:07.8902935Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:22:07.9110289Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:22:08.0251222Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:22:08.0251735Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:22:08.0325893Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:22:08.0326390Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:22:08.0398916Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:22:08.0399605Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:22:08.2354955Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:22:08.2358160Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:22:08.5446994Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:22:08.5450654Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:22:08.7137534Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:22:08.7162663Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:22:08.7510177Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:22:08.7510692Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:22:12.5634668Z PASSED [ 64%]
2022-05-18T04:22:12.6404019Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_masked_fill PASSED [ 64%]
2022-05-18T04:22:12.6499574Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_masked_fill_inplace Warning: ONNX Preprocess - Removing mutation from node aten::masked_fill_ on block input: 'x.1'. This changes graph semantics.
2022-05-18T04:22:12.6733569Z Warning: ONNX Preprocess - Removing mutation from node aten::masked_fill_ on block input: 'x.1'. This changes graph semantics.
2022-05-18T04:22:12.6939651Z PASSED [ 64%]
2022-05-18T04:22:12.7465850Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_masked_scatter PASSED [ 64%]
2022-05-18T04:22:12.7838907Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_masked_select PASSED [ 64%]
2022-05-18T04:22:12.8262193Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_matmul PASSED [ 64%]
2022-05-18T04:22:12.8687649Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_matmul_batch PASSED [ 64%]
2022-05-18T04:22:12.9320216Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_max_int PASSED [ 65%]
2022-05-18T04:22:12.9542791Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_max_tensors PASSED [ 65%]
2022-05-18T04:22:12.9824950Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_maximum_minimum PASSED [ 65%]
2022-05-18T04:22:13.0350939Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_maxpool PASSED [ 65%]
2022-05-18T04:22:13.0855729Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_maxpool_1d_ceil PASSED [ 65%]
2022-05-18T04:22:13.1394332Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_maxpool_2d PASSED [ 65%]
2022-05-18T04:22:13.2010156Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_maxpool_2d_ceil PASSED [ 65%]
2022-05-18T04:22:13.8689030Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_maxpool_3d_ceil PASSED [ 65%]
2022-05-18T04:22:13.9059570Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_maxpool_adaptive PASSED [ 66%]
2022-05-18T04:22:13.9595101Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_maxpool_default_stride PASSED [ 66%]
2022-05-18T04:22:14.0077142Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_maxpool_dilation PASSED [ 66%]
2022-05-18T04:22:14.0666724Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_maxpool_with_indices PASSED [ 66%]
2022-05-18T04:22:14.1137428Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_meshgrid PASSED [ 66%]
2022-05-18T04:22:14.1614914Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_meshgrid_scalar PASSED [ 66%]
2022-05-18T04:22:14.2248841Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_min_int PASSED [ 66%]
2022-05-18T04:22:14.3046418Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_minimum_dtypes PASSED [ 66%]
2022-05-18T04:22:14.3323121Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_mish PASSED [ 67%]
2022-05-18T04:22:14.3346526Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_mixed_optional SKIPPED [ 67%]
2022-05-18T04:22:14.3368702Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_mixed_optional_default_none SKIPPED [ 67%]
2022-05-18T04:22:14.3390717Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_mixed_optional_default_tensor SKIPPED [ 67%]
2022-05-18T04:22:14.3412304Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_mixed_optional_default_tensor_script SKIPPED [ 67%]
2022-05-18T04:22:19.4869070Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_mobilenet_v3 PASSED [ 67%]
2022-05-18T04:22:19.4888094Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_mobilenet_v3_quant SKIPPED [ 67%]
2022-05-18T04:22:19.7176939Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_mod_with_low_precision PASSED [ 67%]
2022-05-18T04:22:20.2954734Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_multi_scale_roi_align PASSED [ 68%]
2022-05-18T04:22:20.3703219Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_multinomial PASSED [ 68%]
2022-05-18T04:22:20.6663372Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_multiple_conv_bn Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'bn.num_batches_tracked'. This changes graph semantics.
2022-05-18T04:22:20.6664553Z Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'bn2.num_batches_tracked'. This changes graph semantics.
2022-05-18T04:22:21.1661595Z PASSED [ 68%]
2022-05-18T04:22:21.2820444Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_multiple_dynamic_repeat_interleave PASSED [ 68%]
2022-05-18T04:22:21.3243856Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_mv PASSED [ 68%]
2022-05-18T04:22:21.4918850Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_nan_to_num PASSED [ 68%]
2022-05-18T04:22:21.5304655Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_narrow PASSED [ 68%]
2022-05-18T04:22:21.5897987Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_narrow_dynamic PASSED [ 68%]
2022-05-18T04:22:21.6691292Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_nested_tuple_input PASSED [ 69%]
2022-05-18T04:22:21.6906259Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_nested_tuple_output PASSED [ 69%]
2022-05-18T04:22:21.9465397Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_new_empty PASSED [ 69%]
2022-05-18T04:22:22.1535519Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_new_full PASSED [ 69%]
2022-05-18T04:22:22.3314140Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_new_ones PASSED [ 69%]
2022-05-18T04:22:22.5071651Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_new_zeros PASSED [ 69%]
2022-05-18T04:22:22.5944018Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_nllloss PASSED [ 69%]
2022-05-18T04:22:22.7145715Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_nllloss_2d_mean PASSED [ 69%]
2022-05-18T04:22:22.8269799Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_nllloss_2d_mean_ignore_index PASSED [ 70%]
2022-05-18T04:22:22.9390954Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_nllloss_2d_mean_ignore_index_weights PASSED [ 70%]
2022-05-18T04:22:23.0545326Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_nllloss_2d_mean_weights PASSED [ 70%]
2022-05-18T04:22:23.1714506Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_nllloss_2d_none PASSED [ 70%]
2022-05-18T04:22:23.2897848Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_nllloss_2d_sum PASSED [ 70%]
2022-05-18T04:22:23.4155495Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_nllloss_dynamic_ignore_index PASSED [ 70%]
2022-05-18T04:22:23.4523742Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_nms PASSED [ 70%]
2022-05-18T04:22:23.4672157Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_nonzero PASSED [ 70%]
2022-05-18T04:22:23.4999290Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_normalize WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:22:23.5064887Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:22:23.5070356Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:22:23.5283843Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:22:23.5340447Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:22:23.5345692Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:22:23.5384313Z PASSED [ 71%]
2022-05-18T04:22:23.5689166Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_numel PASSED [ 71%]
2022-05-18T04:22:23.5988696Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_numel_empty PASSED [ 71%]
2022-05-18T04:22:23.6893972Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_one_hot PASSED [ 71%]
2022-05-18T04:22:23.7804793Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_ones_bool PASSED [ 71%]
2022-05-18T04:22:23.7905681Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_onnx_checker_invalid_graph PASSED [ 71%]
2022-05-18T04:22:23.8003965Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_onnx_proto_checker PASSED [ 71%]
2022-05-18T04:22:23.8827975Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_outer PASSED [ 71%]
2022-05-18T04:22:23.9053127Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_pad_int Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:22:23.9062286Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:22:23.9069668Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:22:23.9079741Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:22:23.9084602Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:22:23.9248492Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:22:23.9257210Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:22:23.9264779Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:22:23.9269932Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:22:23.9274822Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:22:23.9311463Z PASSED [ 72%]
2022-05-18T04:22:23.9518021Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_pad_types WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:22:23.9534447Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:22:23.9732555Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:22:23.9748094Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:22:23.9990954Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:22:24.0005542Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:22:24.0208239Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:22:24.0223522Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:22:24.0286376Z PASSED [ 72%]
2022-05-18T04:22:24.0719583Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_pairwise_distance PASSED [ 72%]
2022-05-18T04:22:24.2485855Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_paste_mask_in_image PASSED [ 72%]
2022-05-18T04:22:24.3044074Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_pixel_shuffle PASSED [ 72%]
2022-05-18T04:22:24.3664033Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_pixel_unshuffle PASSED [ 72%]
2022-05-18T04:22:24.5606044Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_pow PASSED [ 72%]
2022-05-18T04:22:24.5872536Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_prelu PASSED [ 72%]
2022-05-18T04:22:24.6082108Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_prelu_scalar PASSED [ 73%]
2022-05-18T04:22:24.7432574Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_prim_min PASSED [ 73%]
2022-05-18T04:22:24.7588078Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_primitive_input_bool PASSED [ 73%]
2022-05-18T04:22:24.7849408Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_primitive_input_floating PASSED [ 73%]
2022-05-18T04:22:24.8132282Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_primitive_input_integer PASSED [ 73%]
2022-05-18T04:22:24.8847819Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_qat_conv2d WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:22:24.9133803Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:22:24.9146225Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:22:24.9977115Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:22:25.0266675Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:22:25.0279778Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:22:25.0399622Z PASSED [ 73%]
2022-05-18T04:22:25.1074063Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_qat_conv2d_relu WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:22:25.1361223Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:22:25.1373824Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:22:25.1405901Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:22:25.2320194Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:22:25.2611721Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:22:25.2624724Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:22:25.2656457Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:22:25.2786460Z PASSED [ 73%]
2022-05-18T04:22:25.3546920Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_qat_conv2d_relu_fused WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:22:25.3834208Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:22:25.3846585Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:22:25.4740381Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:22:25.5029208Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:22:25.5042855Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:22:25.5165170Z PASSED [ 73%]
2022-05-18T04:22:25.5732801Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_qat_linear_per_channel WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:22:25.5921486Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:22:25.5935975Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:22:25.6630369Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:22:25.6821493Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:22:25.6835175Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:22:25.6952095Z PASSED [ 74%]
2022-05-18T04:22:25.7412375Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_qat_maxpool2d WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:22:25.7445390Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:22:25.7681479Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:22:25.7844631Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:22:25.7930050Z PASSED [ 74%]
2022-05-18T04:22:25.8279093Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_qat_relu WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:22:25.8309395Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:22:25.8529709Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:22:25.8563861Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:22:25.8642848Z PASSED [ 74%]
2022-05-18T04:22:25.8915004Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_quantize_per_tensor WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:22:25.8943753Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:22:25.9123094Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:22:25.9235121Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:22:25.9280862Z PASSED [ 74%]
2022-05-18T04:22:25.9458075Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_quantized_adaptive_avg_pool2d WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:22:25.9686430Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:22:25.9740218Z PASSED [ 74%]
2022-05-18T04:22:25.9990790Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_quantized_arithmetic WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:22:26.0028143Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:22:26.0335826Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:22:26.0371542Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:22:26.0452670Z PASSED [ 74%]
2022-05-18T04:22:26.0708871Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_quantized_arithmetic_qfunctional WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:22:26.0746024Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:22:26.0830175Z PASSED [ 74%]
2022-05-18T04:22:26.1438426Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_quantized_conv2d WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:22:26.1450609Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:22:26.2343936Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:22:26.2355617Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:22:26.2460152Z PASSED [ 74%]
2022-05-18T04:22:26.3091237Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_quantized_conv2d_relu WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:22:26.3103632Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:22:26.4000834Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:22:26.4013129Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:22:26.4120298Z PASSED [ 75%]
2022-05-18T04:22:26.4337130Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_quantized_flatten WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:22:26.4587213Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:22:26.4648582Z PASSED [ 75%]
2022-05-18T04:22:26.4780812Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_quantized_hardsigmoid WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:22:26.4964011Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:22:26.5017912Z PASSED [ 75%]
2022-05-18T04:22:26.5250011Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_quantized_hardswish WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:22:26.5497323Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:22:26.5554615Z PASSED [ 75%]
2022-05-18T04:22:26.6030334Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_quantized_linear WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:22:26.6042636Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:22:26.6672993Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:22:26.6685728Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:22:26.6771862Z PASSED [ 75%]
2022-05-18T04:22:26.8153333Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_random PASSED [ 75%]
2022-05-18T04:22:26.9679336Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_random_dynamic_size PASSED [ 75%]
2022-05-18T04:22:27.1282245Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_random_like PASSED [ 75%]
2022-05-18T04:22:27.3405040Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_random_like_dtype PASSED [ 76%]
2022-05-18T04:22:27.3997283Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_reciprocal PASSED [ 76%]
2022-05-18T04:22:27.4588301Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_reduce_log_sum_exp PASSED [ 76%]
2022-05-18T04:22:27.5304010Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_reduced_mean PASSED [ 76%]
2022-05-18T04:22:27.6662415Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_reduced_min_max PASSED [ 76%]
2022-05-18T04:22:27.8770802Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_reduced_prod PASSED [ 76%]
2022-05-18T04:22:28.1625650Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_reduced_sum PASSED [ 76%]
2022-05-18T04:22:28.2274910Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_reduced_sum_dtypes PASSED [ 76%]
2022-05-18T04:22:28.2479802Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_reflection_pad Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:22:28.2495664Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:22:28.2511660Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:22:28.2680513Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:22:28.2698225Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:22:28.2708341Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:22:28.2929909Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:22:28.2946224Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:22:28.2962711Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:22:28.3138595Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:22:28.3155121Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:22:28.3164955Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:22:28.3204515Z PASSED [ 77%]
2022-05-18T04:22:28.3594375Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_relu6 PASSED [ 77%]
2022-05-18T04:22:28.3794631Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_relu_int PASSED [ 77%]
2022-05-18T04:22:28.4841500Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_remainder PASSED [ 77%]
2022-05-18T04:22:28.5354975Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_remainder_scalar PASSED [ 77%]
2022-05-18T04:22:28.6082333Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_repeat PASSED [ 77%]
2022-05-18T04:22:28.9162036Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_repeat_interleave PASSED [ 77%]
2022-05-18T04:22:28.9683500Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_repeat_interleave_noop PASSED [ 77%]
2022-05-18T04:22:28.9886125Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_replication_pad Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:22:28.9903088Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:22:28.9918898Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:22:29.0086162Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:22:29.0103943Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:22:29.0114334Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:22:29.0331773Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:22:29.0348449Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:22:29.0364751Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:22:29.0533216Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:22:29.0549532Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:22:29.0560166Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:22:29.0598950Z PASSED [ 78%]
2022-05-18T04:22:29.0618062Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_reshape_allowzero SKIPPED [ 78%]
2022-05-18T04:22:29.0942331Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_reshape_constant_fold PASSED [ 78%]
2022-05-18T04:22:29.1230058Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_reshape_different_rank PASSED [ 78%]
2022-05-18T04:22:29.2758597Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_resize_images WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:22:29.2804256Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:22:29.2888099Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:22:29.5081907Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:22:29.5082446Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:22:29.5190870Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:22:29.5191414Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:22:29.5210606Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:22:29.5211106Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:22:29.5338597Z PASSED [ 78%]
2022-05-18T04:22:29.5652995Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_rnn_no_bias WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:22:29.5656183Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:22:29.5663108Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:22:29.5665336Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:22:29.5670798Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:22:29.5671675Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:22:29.5981198Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:22:29.5984780Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:22:29.5997329Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:22:29.6008975Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:22:29.6024120Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:22:29.6026864Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:22:29.6032637Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:22:29.6038230Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:22:29.6046569Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:22:29.6047813Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:22:29.6050898Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:22:29.6054206Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:22:29.6403444Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:22:29.6404346Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:22:29.6588182Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:22:29.6732645Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:22:29.6733535Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:22:29.6740541Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:22:29.6746355Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:22:29.7093984Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:22:29.7095302Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:22:29.7279137Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:22:29.7290273Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:22:29.7301297Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:22:29.7451804Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:22:29.7452361Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:22:29.7461334Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:22:29.7466996Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:22:29.7472185Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:22:29.7481077Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:22:29.7484861Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:22:29.7488621Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:22:29.7841628Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:22:29.7842148Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:22:29.8026284Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:22:29.8167578Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:22:29.8168108Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:22:29.8175690Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:22:29.8182011Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:22:29.8529131Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:22:29.8530152Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:22:29.8716013Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:22:29.8726972Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:22:29.8738650Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:22:29.8885636Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:22:29.8886505Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:22:29.8896922Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:22:29.8902965Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:22:29.8908899Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:22:29.8918851Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:22:29.8923346Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:22:29.8927658Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:22:29.8997677Z PASSED [ 78%]
2022-05-18T04:22:29.9614243Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_roi_align PASSED [ 78%]
2022-05-18T04:22:30.1661430Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_roi_align_aligned PASSED [ 78%]
2022-05-18T04:22:34.3389905Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_roi_heads WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:22:34.3513840Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:22:39.0323652Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:22:39.0503085Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:22:42.3376293Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:22:42.3377754Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:22:42.4958170Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:22:42.4959303Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:22:42.5992054Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:22:42.5992626Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:22:42.7954082Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:22:42.7955100Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:22:45.9961091Z PASSED [ 79%]
2022-05-18T04:22:46.0397152Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_roi_pool PASSED [ 79%]
2022-05-18T04:22:46.1871058Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_roll PASSED [ 79%]
2022-05-18T04:22:46.2088933Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_round PASSED [ 79%]
2022-05-18T04:22:49.4000911Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_rpn WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:22:49.4122936Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:22:51.7108712Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:22:51.7109274Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:22:51.7947179Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:22:51.7947958Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:22:52.1361767Z PASSED [ 79%]
2022-05-18T04:22:52.1608117Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_rsqrt PASSED [ 79%]
2022-05-18T04:22:52.1834484Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_rsqrt_zeros PASSED [ 79%]
2022-05-18T04:22:52.2652978Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_scalar_tensor PASSED [ 79%]
2022-05-18T04:22:52.6682628Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_scalar_type PASSED [ 80%]
2022-05-18T04:22:52.7754707Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_scatter PASSED [ 80%]
2022-05-18T04:22:52.8165032Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_scatter_add Warning: ONNX Preprocess - Removing mutation from node aten::scatter_add_ on block input: 'src.1'. This changes graph semantics.
2022-05-18T04:22:52.8165733Z Warning: ONNX Preprocess - Removing mutation from node aten::scatter_add_ on block input: 'index.1'. This changes graph semantics.
2022-05-18T04:22:52.8487184Z Warning: ONNX Preprocess - Removing mutation from node aten::scatter_add_ on block input: '0'. This changes graph semantics.
2022-05-18T04:22:52.8487794Z Warning: ONNX Preprocess - Removing mutation from node aten::scatter_add_ on block input: '1'. This changes graph semantics.
2022-05-18T04:22:52.8779503Z PASSED [ 80%]
2022-05-18T04:22:52.9144124Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_scatter_with_scalar PASSED [ 80%]
2022-05-18T04:22:52.9509385Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_scatter_with_scalar_different_types PASSED [ 80%]
2022-05-18T04:22:52.9747790Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_script_custom_class_error PASSED [ 80%]
2022-05-18T04:22:53.0275000Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_select PASSED [ 80%]
2022-05-18T04:22:53.0824292Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_select_negative_index PASSED [ 80%]
2022-05-18T04:22:53.1218139Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_sequance_loopcarried PASSED [ 80%]
2022-05-18T04:22:53.1758235Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_sequence_to_bool PASSED [ 81%]
2022-05-18T04:22:53.2323911Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_sequence_to_float PASSED [ 81%]
2022-05-18T04:22:53.2891195Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_sequence_to_int PASSED [ 81%]
2022-05-18T04:22:53.3397611Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_set_ PASSED [ 81%]
2022-05-18T04:22:53.4012581Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_set_attr PASSED [ 81%]
2022-05-18T04:22:53.4641845Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_set_attr_2 PASSED [ 81%]
2022-05-18T04:22:53.5882394Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_set_attr_3 PASSED [ 81%]
2022-05-18T04:22:53.6853707Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_set_attr_4 PASSED [ 81%]
2022-05-18T04:22:54.1237146Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_set_attr_5 PASSED [ 82%]
2022-05-18T04:22:54.5407718Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_set_attr_in_loop PASSED [ 82%]
2022-05-18T04:22:54.6667492Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_set_attr_in_loop_with_list PASSED [ 82%]
2022-05-18T04:22:54.9943865Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_set_attr_modules PASSED [ 82%]
2022-05-18T04:22:55.2969439Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_set_attr_modules_2 PASSED [ 82%]
2022-05-18T04:22:55.3401828Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_shape_constant_fold PASSED [ 82%]
2022-05-18T04:22:55.3908311Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_shape_value_map PASSED [ 82%]
2022-05-18T04:23:02.9506826Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_shufflenet_v2_dynamic_axes PASSED [ 82%]
2022-05-18T04:23:02.9798900Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_silu PASSED [ 83%]
2022-05-18T04:23:03.2221552Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_size PASSED [ 83%]
2022-05-18T04:23:03.4747082Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_slice_dynamic PASSED [ 83%]
2022-05-18T04:23:03.4986627Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_slice_dynamic_script PASSED [ 83%]
2022-05-18T04:23:03.6296480Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_slice_dynamic_shape_script PASSED [ 83%]
2022-05-18T04:23:03.8342238Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_slice_dynamic_to_end PASSED [ 83%]
2022-05-18T04:23:03.8806942Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_slice_neg PASSED [ 83%]
2022-05-18T04:23:03.9984793Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_slice_neg_large PASSED [ 83%]
2022-05-18T04:23:04.1111752Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_slice_neg_large_negone PASSED [ 84%]
2022-05-18T04:23:04.1511018Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_slice_trace PASSED [ 84%]
2022-05-18T04:23:04.4184181Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_slice_with_input_index PASSED [ 84%]
2022-05-18T04:23:04.8238815Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_softmax PASSED [ 84%]
2022-05-18T04:23:04.9905618Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_softmax_large_values PASSED [ 84%]
2022-05-18T04:23:05.0899758Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_softplus PASSED [ 84%]
2022-05-18T04:23:05.1768002Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_softshrink PASSED [ 84%]
2022-05-18T04:23:05.2212875Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_sort PASSED [ 84%]
2022-05-18T04:23:05.2651021Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_sort_ascending PASSED [ 85%]
2022-05-18T04:23:05.2989786Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_spectral_norm PASSED [ 85%]
2022-05-18T04:23:05.3561818Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_split PASSED [ 85%]
2022-05-18T04:23:05.4050992Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_split_dynamic PASSED [ 85%]
2022-05-18T04:23:05.4399967Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_split_dynamic_axes PASSED [ 85%]
2022-05-18T04:23:05.5786018Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_split_script PASSED [ 85%]
2022-05-18T04:23:05.6043442Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_split_size_as_list PASSED [ 85%]
2022-05-18T04:23:05.7204943Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_split_size_with_slice PASSED [ 85%]
2022-05-18T04:23:05.7226238Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_split_tensor_multi PASSED [ 86%]
2022-05-18T04:23:05.7591652Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_split_tensor_scalar PASSED [ 86%]
2022-05-18T04:23:05.7799084Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_square PASSED [ 86%]
2022-05-18T04:23:05.8068406Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_squeeze PASSED [ 86%]
2022-05-18T04:23:05.8267926Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_squeeze_all_dims PASSED [ 86%]
2022-05-18T04:23:05.8572902Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_squeeze_dynamic PASSED [ 86%]
2022-05-18T04:23:05.8797686Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_squeeze_dynamic_dim PASSED [ 86%]
2022-05-18T04:23:05.9102634Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_squeeze_neg PASSED [ 86%]
2022-05-18T04:23:05.9357453Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_squeeze_neg_without_no_op PASSED [ 87%]
2022-05-18T04:23:05.9666118Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_squeeze_no_op PASSED [ 87%]
2022-05-18T04:23:06.1316674Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_squeeze_runtime_dim PASSED [ 87%]
2022-05-18T04:23:06.1579299Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_squeeze_without_no_op PASSED [ 87%]
2022-05-18T04:23:06.1959146Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_stack PASSED [ 87%]
2022-05-18T04:23:06.2187731Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_stack_dynamic PASSED [ 87%]
2022-05-18T04:23:06.2791577Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_std PASSED [ 87%]
2022-05-18T04:23:06.3612607Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_std_along_dims PASSED [ 87%]
2022-05-18T04:23:06.4074894Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_std_correction PASSED [ 88%]
2022-05-18T04:23:06.4914398Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_std_keepdim PASSED [ 88%]
2022-05-18T04:23:06.5532203Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_std_mean PASSED [ 88%]
2022-05-18T04:23:06.6377907Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_std_mean_along_dims PASSED [ 88%]
2022-05-18T04:23:06.6842050Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_std_mean_correction PASSED [ 88%]
2022-05-18T04:23:06.7678911Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_std_mean_keepdim PASSED [ 88%]
2022-05-18T04:23:06.7946675Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_sum PASSED [ 88%]
2022-05-18T04:23:06.9649946Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_sum_empty_tensor PASSED [ 88%]
2022-05-18T04:23:07.2667900Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_symbolic_shape_inference PASSED [ 89%]
2022-05-18T04:23:07.6681139Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_symbolic_shape_inference_arange PASSED [ 89%]
2022-05-18T04:23:07.9108565Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_symbolic_shape_inference_arange_2 PASSED [ 89%]
2022-05-18T04:23:08.3374847Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_symbolic_shape_inference_box PASSED [ 89%]
2022-05-18T04:23:08.4142849Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_symbolic_shape_inference_box_if PASSED [ 89%]
2022-05-18T04:23:08.4804603Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_symbolic_shape_inference_dynamic_axes PASSED [ 89%]
2022-05-18T04:23:08.5180928Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_symbolic_shape_inference_expand_1 PASSED [ 89%]
2022-05-18T04:23:08.7293319Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_symbolic_shape_inference_expand_2 PASSED [ 89%]
2022-05-18T04:23:09.1239358Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_symbolic_shape_inference_nonzero PASSED [ 90%]
2022-05-18T04:23:09.2772514Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_symbolic_shape_inference_slice PASSED [ 90%]
2022-05-18T04:23:09.3891133Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_symbolic_shape_inference_slice_2 PASSED [ 90%]
2022-05-18T04:23:09.4223184Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_symbolic_shape_inference_time WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:23:09.4279698Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:23:09.4312266Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:23:09.4610540Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:23:09.4634462Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:23:09.4642690Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:23:09.4655296Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:23:09.4661044Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:23:09.4661635Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:23:09.4953486Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:23:09.4957472Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:23:09.4963766Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:23:09.4965940Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:23:09.4970449Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:23:09.4971001Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:23:09.5008192Z PASSED [ 90%]
2022-05-18T04:23:09.5268177Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_take PASSED [ 90%]
2022-05-18T04:23:09.5615400Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_tanh_gelu PASSED [ 90%]
2022-05-18T04:23:09.6265330Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_tanhshrink PASSED [ 90%]
2022-05-18T04:23:09.8513949Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_tensor PASSED [ 90%]
2022-05-18T04:23:10.0688114Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_tensor_factories PASSED [ 91%]
2022-05-18T04:23:10.1254989Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_tensor_factories_script PASSED [ 91%]
2022-05-18T04:23:10.4805169Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_tensor_index_advanced_indexing PASSED [ 91%]
2022-05-18T04:23:10.5760902Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_tensor_index_advanced_indexing_consecutive PASSED [ 91%]
2022-05-18T04:23:10.6071798Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_tensor_index_advanced_indexing_ellipsis PASSED [ 91%]
2022-05-18T04:23:10.6705538Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_tensor_like_factories_script PASSED [ 91%]
2022-05-18T04:23:10.6941725Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_tensordot_dim_count PASSED [ 91%]
2022-05-18T04:23:10.7973981Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_tensordot_dim_list PASSED [ 91%]
2022-05-18T04:23:10.8226211Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_tensordot_dynamic_dim PASSED [ 92%]
2022-05-18T04:23:10.9162971Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_to_device PASSED [ 92%]
2022-05-18T04:23:10.9355529Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_tolist PASSED [ 92%]
2022-05-18T04:23:10.9789026Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_topk PASSED [ 92%]
2022-05-18T04:23:11.0187672Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_topk_int32_k PASSED [ 92%]
2022-05-18T04:23:11.0402576Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_topk_script PASSED [ 92%]
2022-05-18T04:23:11.1131432Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_topk_smallest_unsorted PASSED [ 92%]
2022-05-18T04:23:11.1355116Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_torch_mm PASSED [ 92%]
2022-05-18T04:23:11.2321862Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_trace_script PASSED [ 93%]
2022-05-18T04:23:11.5041308Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_transform_images WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:23:11.5041952Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:23:11.7314501Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:23:11.7315072Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:23:12.1193552Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:23:12.1194081Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:23:12.1206619Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:23:12.1207148Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:23:12.1239935Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:23:12.1263212Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:23:12.1303373Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:23:12.1303876Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:23:12.1323228Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:23:12.1323764Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:23:12.1361711Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:23:12.1384168Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:23:12.1715104Z PASSED [ 93%]
2022-05-18T04:23:13.3116113Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_transformer_encoder PASSED [ 93%]
2022-05-18T04:23:13.3612335Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_transpose_infer_shape PASSED [ 93%]
2022-05-18T04:23:13.3637262Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_tril SKIPPED [ 93%]
2022-05-18T04:23:13.3660291Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_triu SKIPPED [ 93%]
2022-05-18T04:23:13.3834325Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_tuple_input PASSED [ 93%]
2022-05-18T04:23:13.3855539Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_tuple_of_optional SKIPPED [ 93%]
2022-05-18T04:23:13.3878209Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_tuple_of_optional_default_tensor SKIPPED [ 94%]
2022-05-18T04:23:13.3901236Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_tuple_of_optional_default_tensor_script SKIPPED [ 94%]
2022-05-18T04:23:13.4111736Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_tuple_output PASSED [ 94%]
2022-05-18T04:23:13.4429892Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_tuple_output_from_if_with_raised_exception PASSED [ 94%]
2022-05-18T04:23:13.4740761Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_tuple_primitive_input PASSED [ 94%]
2022-05-18T04:23:13.4794954Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_tuple_with_none_outputs PASSED [ 94%]
2022-05-18T04:23:13.5562107Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_type_as PASSED [ 94%]
2022-05-18T04:23:13.6438821Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_unbind PASSED [ 94%]
2022-05-18T04:23:13.6878207Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_unbind_dynamic PASSED [ 95%]
2022-05-18T04:23:13.7248030Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_unfold PASSED [ 95%]
2022-05-18T04:23:13.8480549Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_unfold_dynamic_inputs PASSED [ 95%]
2022-05-18T04:23:13.9131707Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_unfold_infer_shape PASSED [ 95%]
2022-05-18T04:23:13.9743456Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_uninitialized PASSED [ 95%]
2022-05-18T04:23:14.0460028Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_uninitialized_dynamic PASSED [ 95%]
2022-05-18T04:23:14.0483474Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_uninitialized_intList SKIPPED [ 95%]
2022-05-18T04:23:14.0507269Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_uninitialized_tensorList SKIPPED [ 95%]
2022-05-18T04:23:14.0528932Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_uninitialized_tensorList_dynamic SKIPPED [ 96%]
2022-05-18T04:23:14.0551425Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_uninitialized_tensorList_shape SKIPPED [ 96%]
2022-05-18T04:23:14.1001071Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_unique PASSED [ 96%]
2022-05-18T04:23:14.1449247Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_unique_along_dim PASSED [ 96%]
2022-05-18T04:23:14.1590874Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_unsafe_chunk PASSED [ 96%]
2022-05-18T04:23:14.1862049Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_unsqueeze PASSED [ 96%]
2022-05-18T04:23:14.2073771Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_unsqueeze_dynamic_dim PASSED [ 96%]
2022-05-18T04:23:14.2095607Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_unsupported_pad SKIPPED [ 96%]
2022-05-18T04:23:14.5401665Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_var PASSED [ 97%]
2022-05-18T04:23:14.6230715Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_var_along_dims PASSED [ 97%]
2022-05-18T04:23:14.6701687Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_var_correction PASSED [ 97%]
2022-05-18T04:23:14.7544323Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_var_keepdim PASSED [ 97%]
2022-05-18T04:23:14.8152857Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_var_mean PASSED [ 97%]
2022-05-18T04:23:14.8991677Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_var_mean_along_dims PASSED [ 97%]
2022-05-18T04:23:14.9456261Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_var_mean_correction PASSED [ 97%]
2022-05-18T04:23:15.0296400Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_var_mean_keepdim PASSED [ 97%]
2022-05-18T04:23:15.1417624Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_var_mean_mixed_dims PASSED [ 98%]
2022-05-18T04:23:15.1695253Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_view PASSED [ 98%]
2022-05-18T04:23:15.1917697Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_view_as PASSED [ 98%]
2022-05-18T04:23:15.2699236Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_view_dynamic PASSED [ 98%]
2022-05-18T04:23:15.3097972Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_view_dynamic_zero_dim PASSED [ 98%]
2022-05-18T04:23:15.4627335Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_weight_norm PASSED [ 98%]
2022-05-18T04:23:15.4926340Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_weight_norm_nodim PASSED [ 98%]
2022-05-18T04:23:15.5163741Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_where PASSED [ 98%]
2022-05-18T04:23:15.5664607Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_where_condition PASSED [ 99%]
2022-05-18T04:23:15.5687333Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_where_condition_script SKIPPED [ 99%]
2022-05-18T04:23:15.6346371Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_where_with_bool_tensor PASSED [ 99%]
2022-05-18T04:23:15.6592113Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_where_with_byte_tensor PASSED [ 99%]
2022-05-18T04:23:15.9039228Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_word_language_model_GRU WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:23:15.9728611Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:23:15.9958173Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:23:16.0673356Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:23:16.1606550Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:23:16.1816232Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:23:16.1954673Z PASSED [ 99%]
2022-05-18T04:23:16.2618418Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_word_language_model_LSTM WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:23:16.3583154Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:23:16.3803427Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:23:16.3927500Z PASSED [ 99%]
2022-05-18T04:23:16.4526487Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_word_language_model_RNN_RELU WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:23:16.5203228Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:23:16.5269677Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:23:16.5406275Z PASSED [ 99%]
2022-05-18T04:23:16.6005806Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_word_language_model_RNN_TANH WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:23:16.6682638Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:23:16.6748868Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:23:16.6886552Z PASSED [ 99%]
2022-05-18T04:23:16.7545963Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_zeros_ones_with_tensor_input PASSED [100%]/opt/conda/lib/python3.7/site-packages/coverage/control.py:793: CoverageWarning: No data was collected. (no-data-collected)
2022-05-18T04:23:16.7546577Z   self._warn("No data was collected.", slug="no-data-collected")
2022-05-18T04:23:17.4865461Z 
2022-05-18T04:23:17.4880336Z 
2022-05-18T04:23:17.4880949Z =============================== warnings summary ===============================
2022-05-18T04:23:17.4882304Z ../.local/lib/python3.7/site-packages/torchvision/transforms/functional_pil.py:207
2022-05-18T04:23:17.4883132Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/transforms/functional_pil.py:207: DeprecationWarning: BILINEAR is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.BILINEAR instead.
2022-05-18T04:23:17.4883854Z     def resize(img, size, interpolation=Image.BILINEAR):
2022-05-18T04:23:17.4884176Z 
2022-05-18T04:23:17.4884613Z ../.local/lib/python3.7/site-packages/torchvision/transforms/functional_pil.py:280
2022-05-18T04:23:17.4885761Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/transforms/functional_pil.py:280: DeprecationWarning: BICUBIC is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.BICUBIC instead.
2022-05-18T04:23:17.4886640Z     def perspective(img, perspective_coeffs, interpolation=Image.BICUBIC, fill=None):
2022-05-18T04:23:17.4886881Z 
2022-05-18T04:23:17.4887048Z test/onnx/test_pytorch_onnx_onnxruntime.py: 58 warnings
2022-05-18T04:23:17.4888012Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/utils.py:1522: UserWarning: No names were found for specified dynamic axes of provided input.Automatically generated names will be applied to each dynamic axes of input x
2022-05-18T04:23:17.4888607Z     key
2022-05-18T04:23:17.4888765Z 
2022-05-18T04:23:17.4889075Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_arange_dynamic
2022-05-18T04:23:17.4970362Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_diagonal
2022-05-18T04:23:17.4971033Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_eye
2022-05-18T04:23:17.4971660Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_index_add_dynamic_axes
2022-05-18T04:23:17.4972261Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_scalar_tensor
2022-05-18T04:23:17.4973006Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_slice_dynamic
2022-05-18T04:23:17.4973601Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_slice_dynamic_to_end
2022-05-18T04:23:17.4974232Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_uninitialized_dynamic
2022-05-18T04:23:17.4975000Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_view_dynamic_zero_dim
2022-05-18T04:23:17.4976187Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/utils.py:1522: UserWarning: No names were found for specified dynamic axes of provided input.Automatically generated names will be applied to each dynamic axes of input input_1
2022-05-18T04:23:17.4976916Z     key
2022-05-18T04:23:17.4977083Z 
2022-05-18T04:23:17.4977371Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_arange_dynamic
2022-05-18T04:23:17.4977971Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_if_transpose
2022-05-18T04:23:17.4978559Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_if_view
2022-05-18T04:23:17.4979118Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_slice_dynamic
2022-05-18T04:23:17.4979714Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_slice_dynamic_to_end
2022-05-18T04:23:17.4980848Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/utils.py:1522: UserWarning: No names were found for specified dynamic axes of provided input.Automatically generated names will be applied to each dynamic axes of input output_1
2022-05-18T04:23:17.4981574Z     key
2022-05-18T04:23:17.4981721Z 
2022-05-18T04:23:17.4981996Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_arange_out
2022-05-18T04:23:17.4982559Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_arange_with_floats_out
2022-05-18T04:23:17.4984090Z   /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:426: UserWarning: The number of elements in the out tensor of shape [1] is 1 which does not match the computed number of elements 9. Note that this may occur as a result of rounding error. The out tensor will be resized to a tensor of shape (9,). (Triggered internally at  /var/lib/jenkins/workspace/aten/src/ATen/native/RangeFactories.cpp:187.)
2022-05-18T04:23:17.4985100Z     return callable(*args, **kwargs)
2022-05-18T04:23:17.4985330Z 
2022-05-18T04:23:17.4985609Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_arange_out
2022-05-18T04:23:17.4986812Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2709: UserWarning: The number of elements in the out tensor of shape [1] is 1 which does not match the computed number of elements 9. Note that this may occur as a result of rounding error. The out tensor will be resized to a tensor of shape (9,). (Triggered internally at  /var/lib/jenkins/workspace/aten/src/ATen/native/RangeFactories.cpp:187.)
2022-05-18T04:23:17.4988009Z     return torch.arange(end, out=out_t)
2022-05-18T04:23:17.4988251Z 
2022-05-18T04:23:17.4988542Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_arange_out
2022-05-18T04:23:17.4989716Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2708: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:23:17.4990716Z     out_t = torch.tensor([1], dtype=torch.float)
2022-05-18T04:23:17.4990956Z 
2022-05-18T04:23:17.4991260Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_arange_start_out
2022-05-18T04:23:17.4993103Z   /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:426: UserWarning: The number of elements in the out tensor of shape [1] is 1 which does not match the computed number of elements 7. Note that this may occur as a result of rounding error. The out tensor will be resized to a tensor of shape (7,). (Triggered internally at  /var/lib/jenkins/workspace/aten/src/ATen/native/RangeFactories.cpp:187.)
2022-05-18T04:23:17.4994148Z     return callable(*args, **kwargs)
2022-05-18T04:23:17.4994375Z 
2022-05-18T04:23:17.4994678Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_arange_start_out
2022-05-18T04:23:17.4995881Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2719: UserWarning: The number of elements in the out tensor of shape [1] is 1 which does not match the computed number of elements 7. Note that this may occur as a result of rounding error. The out tensor will be resized to a tensor of shape (7,). (Triggered internally at  /var/lib/jenkins/workspace/aten/src/ATen/native/RangeFactories.cpp:187.)
2022-05-18T04:23:17.4996927Z     return torch.arange(start.size(0), end, out=out_t)
2022-05-18T04:23:17.4997191Z 
2022-05-18T04:23:17.4997494Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_arange_start_out
2022-05-18T04:23:17.4998639Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2718: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:23:17.4999575Z     out_t = torch.tensor([1], dtype=torch.float)
2022-05-18T04:23:17.4999815Z 
2022-05-18T04:23:17.5000094Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_arange_with_floats_out
2022-05-18T04:23:17.5001218Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2610: UserWarning: The number of elements in the out tensor of shape [1] is 1 which does not match the computed number of elements 9. Note that this may occur as a result of rounding error. The out tensor will be resized to a tensor of shape (9,). (Triggered internally at  /var/lib/jenkins/workspace/aten/src/ATen/native/RangeFactories.cpp:187.)
2022-05-18T04:23:17.5002128Z     return torch.arange(end, out=out_t)
2022-05-18T04:23:17.5002346Z 
2022-05-18T04:23:17.5002642Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_arange_with_floats_out
2022-05-18T04:23:17.5003719Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2609: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:23:17.5004746Z     out_t = torch.tensor([1], dtype=torch.float)
2022-05-18T04:23:17.5004984Z 
2022-05-18T04:23:17.5005269Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_arange_with_floats_out
2022-05-18T04:23:17.5006942Z   /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:426: UserWarning: The number of elements in the out tensor of shape [1] is 1 which does not match the computed number of elements 5. Note that this may occur as a result of rounding error. The out tensor will be resized to a tensor of shape (5,). (Triggered internally at  /var/lib/jenkins/workspace/aten/src/ATen/native/RangeFactories.cpp:187.)
2022-05-18T04:23:17.5007896Z     return callable(*args, **kwargs)
2022-05-18T04:23:17.5008095Z 
2022-05-18T04:23:17.5008378Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_arange_with_floats_out
2022-05-18T04:23:17.5009535Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2618: UserWarning: The number of elements in the out tensor of shape [1] is 1 which does not match the computed number of elements 5. Note that this may occur as a result of rounding error. The out tensor will be resized to a tensor of shape (5,). (Triggered internally at  /var/lib/jenkins/workspace/aten/src/ATen/native/RangeFactories.cpp:187.)
2022-05-18T04:23:17.5015785Z     return torch.arange(start.size(0), end, 1.5, out=out_t)
2022-05-18T04:23:17.5021936Z 
2022-05-18T04:23:17.5022298Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_arange_with_floats_out
2022-05-18T04:23:17.5023377Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2617: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:23:17.5024729Z     out_t = torch.tensor([1], dtype=torch.float)
2022-05-18T04:23:17.5024961Z 
2022-05-18T04:23:17.5025261Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_arithmetic_prim_bool
2022-05-18T04:23:17.5026688Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2217: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:23:17.5027468Z     if z:
2022-05-18T04:23:17.5027633Z 
2022-05-18T04:23:17.5027881Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_baddbmm
2022-05-18T04:23:17.5028917Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:7625: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:23:17.5029853Z     input, batch1, batch2, alpha=torch.tensor(5), beta=3.5
2022-05-18T04:23:17.5030107Z 
2022-05-18T04:23:17.5030404Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_batched_nms
2022-05-18T04:23:17.5031054Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_multi_scale_roi_align
2022-05-18T04:23:17.5031668Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_nms
2022-05-18T04:23:17.5032270Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_roi_align
2022-05-18T04:23:17.5032905Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_roi_align_aligned
2022-05-18T04:23:17.5034134Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/symbolic_opset9.py:778: UserWarning: This model contains a squeeze operation on dimension 1. If the model is intended to be used with dynamic input shapes, please use opset version 11 to export the model.
2022-05-18T04:23:17.5035178Z     + "intended to be used with dynamic input shapes, please use opset version 11 to export the model."
2022-05-18T04:23:17.5035411Z 
2022-05-18T04:23:17.5035595Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_batchnorm1d_norunningstats
2022-05-18T04:23:17.5035973Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_batchnorm2d_norunningstats
2022-05-18T04:23:17.5036689Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/symbolic_helper.py:1139: UserWarning: ONNX export mode is set to inference mode, but operator batch_norm is set to training  mode. The operators will be exported in training , as specified by the functional operator.
2022-05-18T04:23:17.5037128Z     + ", as specified by the functional operator."
2022-05-18T04:23:17.5037272Z 
2022-05-18T04:23:17.5037452Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_batchnorm1d_norunningstats
2022-05-18T04:23:17.5037823Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_batchnorm2d_norunningstats
2022-05-18T04:23:17.5038253Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_batchnorm_training
2022-05-18T04:23:17.5038606Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_batchnorm_training_mode_fix_layer
2022-05-18T04:23:17.5038952Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_conv_bn
2022-05-18T04:23:17.5039282Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_groupnorm
2022-05-18T04:23:17.5039613Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_groupnorm_noaffine
2022-05-18T04:23:17.5039962Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_multiple_conv_bn
2022-05-18T04:23:17.5040757Z   /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:2352: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:23:17.5041229Z     if size_prods == 1:
2022-05-18T04:23:17.5041345Z 
2022-05-18T04:23:17.5041462Z test/onnx/test_pytorch_onnx_onnxruntime.py: 11 warnings
2022-05-18T04:23:17.5042578Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/utils.py:438: UserWarning: It is recommended that constant folding be turned off ('do_constant_folding=False') when exporting the model in training-amenable mode, i.e. with 'training=TrainingMode.TRAIN' or 'training=TrainingMode.PRESERVE' (when model is in training mode). Otherwise, some learnable model parameters may not translate correctly in the exported ONNX model because constant folding mutates model parameters. Please consider turning off constant folding or setting the training=TrainingMode.EVAL.
2022-05-18T04:23:17.5043455Z     "It is recommended that constant folding be turned off ('do_constant_folding=False') "
2022-05-18T04:23:17.5043641Z 
2022-05-18T04:23:17.5043828Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_binary_cross_entropy_with_logits
2022-05-18T04:23:17.5044626Z   /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:3096: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:23:17.5045129Z     if not (target.size() == input.size()):
2022-05-18T04:23:17.5045263Z 
2022-05-18T04:23:17.5045406Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_bitshift
2022-05-18T04:23:17.5046019Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:3936: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:23:17.5046578Z     input >> torch.tensor([1, 2]),
2022-05-18T04:23:17.5046701Z 
2022-05-18T04:23:17.5046867Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_bitshift_uint8
2022-05-18T04:23:17.5047486Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:3952: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:23:17.5048020Z     input2 >> torch.tensor([1, 2], dtype=torch.uint8),
2022-05-18T04:23:17.5048168Z 
2022-05-18T04:23:17.5048334Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_clip_boxes_to_image
2022-05-18T04:23:17.5048999Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/utils.py:1522: UserWarning: No names were found for specified dynamic axes of provided input.Automatically generated names will be applied to each dynamic axes of input size
2022-05-18T04:23:17.5049385Z     key
2022-05-18T04:23:17.5049479Z 
2022-05-18T04:23:17.5049634Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_clip_boxes_to_image
2022-05-18T04:23:17.5049978Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_faster_rcnn
2022-05-18T04:23:17.5050315Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_mask_rcnn
2022-05-18T04:23:17.5050646Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_roi_heads
2022-05-18T04:23:17.5050956Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_rpn
2022-05-18T04:23:17.5051805Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/ops/boxes.py:116: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:23:17.5052401Z     boxes_x = torch.max(boxes_x, torch.tensor(0, dtype=boxes.dtype, device=boxes.device))
2022-05-18T04:23:17.5052583Z 
2022-05-18T04:23:17.5052752Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_clip_boxes_to_image
2022-05-18T04:23:17.5053080Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_faster_rcnn
2022-05-18T04:23:17.5053413Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_mask_rcnn
2022-05-18T04:23:17.5053746Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_roi_heads
2022-05-18T04:23:17.5054073Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_rpn
2022-05-18T04:23:17.5055073Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/ops/boxes.py:117: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:23:17.5055685Z     boxes_x = torch.min(boxes_x, torch.tensor(width, dtype=boxes.dtype, device=boxes.device))
2022-05-18T04:23:17.5055872Z 
2022-05-18T04:23:17.5056040Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_clip_boxes_to_image
2022-05-18T04:23:17.5056383Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_faster_rcnn
2022-05-18T04:23:17.5056705Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_mask_rcnn
2022-05-18T04:23:17.5057100Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_roi_heads
2022-05-18T04:23:17.5057427Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_rpn
2022-05-18T04:23:17.5058133Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/ops/boxes.py:117: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor).
2022-05-18T04:23:17.5058641Z     boxes_x = torch.min(boxes_x, torch.tensor(width, dtype=boxes.dtype, device=boxes.device))
2022-05-18T04:23:17.5058826Z 
2022-05-18T04:23:17.5058990Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_clip_boxes_to_image
2022-05-18T04:23:17.5059334Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_faster_rcnn
2022-05-18T04:23:17.5059669Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_mask_rcnn
2022-05-18T04:23:17.5059987Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_roi_heads
2022-05-18T04:23:17.5060312Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_rpn
2022-05-18T04:23:17.5061201Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/ops/boxes.py:118: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:23:17.5061865Z     boxes_y = torch.max(boxes_y, torch.tensor(0, dtype=boxes.dtype, device=boxes.device))
2022-05-18T04:23:17.5062045Z 
2022-05-18T04:23:17.5062198Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_clip_boxes_to_image
2022-05-18T04:23:17.5062541Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_faster_rcnn
2022-05-18T04:23:17.5062878Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_mask_rcnn
2022-05-18T04:23:17.5063213Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_roi_heads
2022-05-18T04:23:17.5063525Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_rpn
2022-05-18T04:23:17.5064377Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/ops/boxes.py:119: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:23:17.5064981Z     boxes_y = torch.min(boxes_y, torch.tensor(height, dtype=boxes.dtype, device=boxes.device))
2022-05-18T04:23:17.5065166Z 
2022-05-18T04:23:17.5065334Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_clip_boxes_to_image
2022-05-18T04:23:17.5065679Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_faster_rcnn
2022-05-18T04:23:17.5065997Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_mask_rcnn
2022-05-18T04:23:17.5066328Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_roi_heads
2022-05-18T04:23:17.5066654Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_rpn
2022-05-18T04:23:17.5067339Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/ops/boxes.py:119: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor).
2022-05-18T04:23:17.5067856Z     boxes_y = torch.min(boxes_y, torch.tensor(height, dtype=boxes.dtype, device=boxes.device))
2022-05-18T04:23:17.5068045Z 
2022-05-18T04:23:17.5068164Z test/onnx/test_pytorch_onnx_onnxruntime.py: 13 warnings
2022-05-18T04:23:17.5068711Z   /opt/conda/lib/python3.7/site-packages/torch/jit/_trace.py:745: UserWarning: The input to trace is already a ScriptModule, tracing it is a no-op. Returning the object as is.
2022-05-18T04:23:17.5069206Z     "The input to trace is already a ScriptModule, tracing it is a no-op. Returning the object as is."
2022-05-18T04:23:17.5069400Z 
2022-05-18T04:23:17.5069559Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_derive_index
2022-05-18T04:23:17.5070106Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:9340: TracerWarning: Using len to get tensor shape might cause the trace to be incorrect. Recommended usage would be tensor.shape[0]. Passing a tensor of different shape might lead to errors or silently give incorrect results.
2022-05-18T04:23:17.5070625Z     for idx in range(len(x) - 1, -len(x), -2):
2022-05-18T04:23:17.5070759Z 
2022-05-18T04:23:17.5070918Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_derive_index
2022-05-18T04:23:17.5071487Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:9351: TracerWarning: Using len to get tensor shape might cause the trace to be incorrect. Recommended usage would be tensor.shape[0]. Passing a tensor of different shape might lead to errors or silently give incorrect results.
2022-05-18T04:23:17.5072002Z     for idx in range(-len(x), len(x) - 1, 2):
2022-05-18T04:23:17.5072134Z 
2022-05-18T04:23:17.5072293Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_derive_index
2022-05-18T04:23:17.5072832Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:9362: TracerWarning: Using len to get tensor shape might cause the trace to be incorrect. Recommended usage would be tensor.shape[0]. Passing a tensor of different shape might lead to errors or silently give incorrect results.
2022-05-18T04:23:17.5073329Z     for idx in range(len(x) - 1, -len(x), -3):
2022-05-18T04:23:17.5073463Z 
2022-05-18T04:23:17.5073621Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_derive_index
2022-05-18T04:23:17.5074163Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:9372: TracerWarning: Using len to get tensor shape might cause the trace to be incorrect. Recommended usage would be tensor.shape[0]. Passing a tensor of different shape might lead to errors or silently give incorrect results.
2022-05-18T04:23:17.5074670Z     for idx in range(-len(x), len(x) - 1, 3):
2022-05-18T04:23:17.5074801Z 
2022-05-18T04:23:17.5074976Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_derive_index_scripting
2022-05-18T04:23:17.5075510Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:9296: TracerWarning: Using len to get tensor shape might cause the trace to be incorrect. Recommended usage would be tensor.shape[0]. Passing a tensor of different shape might lead to errors or silently give incorrect results.
2022-05-18T04:23:17.5076010Z     for idx in range(len(x) - 1, -len(x), -2):
2022-05-18T04:23:17.5076142Z 
2022-05-18T04:23:17.5076313Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_derive_index_scripting
2022-05-18T04:23:17.5076862Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:9307: TracerWarning: Using len to get tensor shape might cause the trace to be incorrect. Recommended usage would be tensor.shape[0]. Passing a tensor of different shape might lead to errors or silently give incorrect results.
2022-05-18T04:23:17.5077358Z     for idx in range(-len(x), len(x) - 1, 2):
2022-05-18T04:23:17.5077489Z 
2022-05-18T04:23:17.5077661Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_derive_index_scripting
2022-05-18T04:23:17.5078207Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:9318: TracerWarning: Using len to get tensor shape might cause the trace to be incorrect. Recommended usage would be tensor.shape[0]. Passing a tensor of different shape might lead to errors or silently give incorrect results.
2022-05-18T04:23:17.5078745Z     for idx in range(len(x) - 1, -len(x), -3):
2022-05-18T04:23:17.5078877Z 
2022-05-18T04:23:17.5079047Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_derive_index_scripting
2022-05-18T04:23:17.5079582Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:9328: TracerWarning: Using len to get tensor shape might cause the trace to be incorrect. Recommended usage would be tensor.shape[0]. Passing a tensor of different shape might lead to errors or silently give incorrect results.
2022-05-18T04:23:17.5080088Z     for idx in range(-len(x), len(x) - 1, 3):
2022-05-18T04:23:17.5080218Z 
2022-05-18T04:23:17.5080378Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_dist_normal
2022-05-18T04:23:17.5080728Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_dist_normal_correctness
2022-05-18T04:23:17.5081557Z   /opt/conda/lib/python3.7/site-packages/torch/distributions/distribution.py:54: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:23:17.5082048Z     if not valid.all():
2022-05-18T04:23:17.5082166Z 
2022-05-18T04:23:17.5082325Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_dist_uniform
2022-05-18T04:23:17.5082678Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_dist_uniform_correctness
2022-05-18T04:23:17.5083465Z   /opt/conda/lib/python3.7/site-packages/torch/distributions/uniform.py:55: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:23:17.5084003Z     if self._validate_args and not torch.lt(self.low, self.high).all():
2022-05-18T04:23:17.5084168Z 
2022-05-18T04:23:17.5084334Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_dropout_training
2022-05-18T04:23:17.5084692Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_dropout_training_zero
2022-05-18T04:23:17.5085366Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/symbolic_opset12.py:57: UserWarning: Dropout is a training op and should not be exported in inference mode. For inference, make sure to call eval() on the model and to export it with param training=False.
2022-05-18T04:23:17.5085827Z     "Dropout is a training op and should not be exported in inference mode. "
2022-05-18T04:23:17.5085996Z 
2022-05-18T04:23:17.5086163Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_dynamic_arange_out
2022-05-18T04:23:17.5087088Z   /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:426: UserWarning: The number of elements in the out tensor of shape [1] is 1 which does not match the computed number of elements 8. Note that this may occur as a result of rounding error. The out tensor will be resized to a tensor of shape (8,). (Triggered internally at  /var/lib/jenkins/workspace/aten/src/ATen/native/RangeFactories.cpp:187.)
2022-05-18T04:23:17.5087652Z     return callable(*args, **kwargs)
2022-05-18T04:23:17.5087780Z 
2022-05-18T04:23:17.5087933Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_dynamic_arange_out
2022-05-18T04:23:17.5088575Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2561: UserWarning: The number of elements in the out tensor of shape [1] is 1 which does not match the computed number of elements 8. Note that this may occur as a result of rounding error. The out tensor will be resized to a tensor of shape (8,). (Triggered internally at  /var/lib/jenkins/workspace/aten/src/ATen/native/RangeFactories.cpp:187.)
2022-05-18T04:23:17.5089162Z     return torch.arange(end, out=out_t)
2022-05-18T04:23:17.5089294Z 
2022-05-18T04:23:17.5089460Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_dynamic_arange_out
2022-05-18T04:23:17.5090074Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2560: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:23:17.5090616Z     out_t = torch.tensor([1], dtype=torch.int64)
2022-05-18T04:23:17.5090741Z 
2022-05-18T04:23:17.5090915Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_dynamic_arange_start_out
2022-05-18T04:23:17.5091838Z   /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:426: UserWarning: The number of elements in the out tensor of shape [1] is 1 which does not match the computed number of elements 6. Note that this may occur as a result of rounding error. The out tensor will be resized to a tensor of shape (6,). (Triggered internally at  /var/lib/jenkins/workspace/aten/src/ATen/native/RangeFactories.cpp:187.)
2022-05-18T04:23:17.5092435Z     return callable(*args, **kwargs)
2022-05-18T04:23:17.5092563Z 
2022-05-18T04:23:17.5092737Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_dynamic_arange_start_out
2022-05-18T04:23:17.5093386Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2571: UserWarning: The number of elements in the out tensor of shape [1] is 1 which does not match the computed number of elements 6. Note that this may occur as a result of rounding error. The out tensor will be resized to a tensor of shape (6,). (Triggered internally at  /var/lib/jenkins/workspace/aten/src/ATen/native/RangeFactories.cpp:187.)
2022-05-18T04:23:17.5093940Z     return torch.arange(start.size(0), end, out=out_t)
2022-05-18T04:23:17.5094089Z 
2022-05-18T04:23:17.5094262Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_dynamic_arange_start_out
2022-05-18T04:23:17.5095025Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2570: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:23:17.5095566Z     out_t = torch.tensor([1], dtype=torch.int64)
2022-05-18T04:23:17.5095707Z 
2022-05-18T04:23:17.5095872Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_dynamic_chunk
2022-05-18T04:23:17.5096657Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:6019: TracerWarning: Converting a tensor to a Python integer might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:23:17.5097169Z     return torch.chunk(x, x.size(0), dim=self.dim)
2022-05-18T04:23:17.5097311Z 
2022-05-18T04:23:17.5097480Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_dynamic_expand_as
2022-05-18T04:23:17.5098101Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:4515: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:23:17.5098629Z     x[:, x.size(0) :] = torch.tensor([1, 2, 3])
2022-05-18T04:23:17.5098746Z 
2022-05-18T04:23:17.5098924Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_dynamic_repeat_interleave
2022-05-18T04:23:17.5099613Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:5482: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:23:17.5100121Z     repeats = torch.tensor(4)
2022-05-18T04:23:17.5100243Z 
2022-05-18T04:23:17.5100420Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_dynamic_repeat_interleave
2022-05-18T04:23:17.5101029Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:5497: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:23:17.5101609Z     repeats = torch.tensor(4)
2022-05-18T04:23:17.5101729Z 
2022-05-18T04:23:17.5101904Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_dynamic_repeat_interleave
2022-05-18T04:23:17.5102571Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:5512: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:23:17.5103083Z     repeats = torch.tensor([4])
2022-05-18T04:23:17.5103206Z 
2022-05-18T04:23:17.5103313Z test/onnx/test_pytorch_onnx_onnxruntime.py: 129 warnings
2022-05-18T04:23:17.5104116Z   /opt/conda/lib/python3.7/site-packages/torch/nn/utils/rnn.py:250: TracerWarning: torch.as_tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:23:17.5104675Z     lengths = torch.as_tensor(lengths, dtype=torch.int64)
2022-05-18T04:23:17.5104827Z 
2022-05-18T04:23:17.5104946Z test/onnx/test_pytorch_onnx_onnxruntime.py: 65 warnings
2022-05-18T04:23:17.5105682Z   /opt/conda/lib/python3.7/site-packages/torch/nn/modules/rnn.py:436: TracerWarning: Converting a tensor to a Python integer might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:23:17.5106159Z     max_batch_size = int(batch_sizes[0])
2022-05-18T04:23:17.5106288Z 
2022-05-18T04:23:17.5106408Z test/onnx/test_pytorch_onnx_onnxruntime.py: 208 warnings
2022-05-18T04:23:17.5107150Z   /opt/conda/lib/python3.7/site-packages/torch/nn/modules/rnn.py:204: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:23:17.5107687Z     if self.input_size != input.size(-1):
2022-05-18T04:23:17.5107819Z 
2022-05-18T04:23:17.5107925Z test/onnx/test_pytorch_onnx_onnxruntime.py: 129 warnings
2022-05-18T04:23:17.5108659Z   /opt/conda/lib/python3.7/site-packages/torch/nn/modules/rnn.py:211: TracerWarning: Converting a tensor to a Python integer might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:23:17.5109139Z     mini_batch = int(batch_sizes[0])
2022-05-18T04:23:17.5109264Z 
2022-05-18T04:23:17.5109382Z test/onnx/test_pytorch_onnx_onnxruntime.py: 208 warnings
2022-05-18T04:23:17.5110153Z   /opt/conda/lib/python3.7/site-packages/torch/nn/modules/rnn.py:225: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:23:17.5110628Z     if hx.size() != expected_hidden_size:
2022-05-18T04:23:17.5110757Z 
2022-05-18T04:23:17.5110879Z test/onnx/test_pytorch_onnx_onnxruntime.py: 129 warnings
2022-05-18T04:23:17.5111613Z   /opt/conda/lib/python3.7/site-packages/torch/nn/utils/rnn.py:330: TracerWarning: Converting a tensor to a Python integer might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:23:17.5112162Z     sequence.data, sequence.batch_sizes, batch_first, padding_value, max_seq_length)
2022-05-18T04:23:17.5112344Z 
2022-05-18T04:23:17.5112451Z test/onnx/test_pytorch_onnx_onnxruntime.py: 49 warnings
2022-05-18T04:23:17.5113288Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/symbolic_opset9.py:3097: UserWarning: Exporting a model to ONNX with a batch_size other than 1, with a variable length with RNN_RELU can cause an error when running the ONNX model with a different batch size. Make sure to save the model with a batch size of 1, or define the initial states (h0/c0) as inputs of the model. 
2022-05-18T04:23:17.5113836Z     + "or define the initial states (h0/c0) as inputs of the model. "
2022-05-18T04:23:17.5113992Z 
2022-05-18T04:23:17.5114112Z test/onnx/test_pytorch_onnx_onnxruntime.py: 48 warnings
2022-05-18T04:23:17.5114715Z   /opt/conda/lib/python3.7/site-packages/torch/nn/modules/rnn.py:65: UserWarning: dropout option adds dropout after all but last recurrent layer, so non-zero dropout expects num_layers greater than 1, but got dropout=0.2 and num_layers=1
2022-05-18T04:23:17.5115120Z     "num_layers={}".format(dropout, num_layers))
2022-05-18T04:23:17.5115257Z 
2022-05-18T04:23:17.5115377Z test/onnx/test_pytorch_onnx_onnxruntime.py: 51 warnings
2022-05-18T04:23:17.5116170Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/symbolic_opset9.py:3097: UserWarning: Exporting a model to ONNX with a batch_size other than 1, with a variable length with RNN_TANH can cause an error when running the ONNX model with a different batch size. Make sure to save the model with a batch size of 1, or define the initial states (h0/c0) as inputs of the model. 
2022-05-18T04:23:17.5116715Z     + "or define the initial states (h0/c0) as inputs of the model. "
2022-05-18T04:23:17.5116873Z 
2022-05-18T04:23:17.5117021Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_embedding
2022-05-18T04:23:17.5117364Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_embedding_module
2022-05-18T04:23:17.5118155Z   /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:2130: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:23:17.5118713Z     assert padding_idx < weight.size(0), "Padding_idx must be within num_embeddings"
2022-05-18T04:23:17.5118891Z 
2022-05-18T04:23:17.5119049Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_embedding
2022-05-18T04:23:17.5119694Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/symbolic_opset9.py:538: UserWarning: Warning: ONNX export of embedding with padding_idx >= 0 for training mode. ONNX does not support not updating the embedding vector at padding_idx during training.
2022-05-18T04:23:17.5120149Z     "Warning: ONNX export of embedding with padding_idx >= 0 "
2022-05-18T04:23:17.5120305Z 
2022-05-18T04:23:17.5120493Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_embedding_bag_1d_per_sample_weights
2022-05-18T04:23:17.5120909Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_embedding_bag_2d_per_sample_weights
2022-05-18T04:23:17.5121697Z   /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:2269: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:23:17.5122244Z     if per_sample_weights is not None and input.size() != per_sample_weights.size():
2022-05-18T04:23:17.5122426Z 
2022-05-18T04:23:17.5122612Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_embedding_bag_2d_per_sample_weights
2022-05-18T04:23:17.5123257Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/utils.py:1522: UserWarning: No names were found for specified dynamic axes of provided input.Automatically generated names will be applied to each dynamic axes of input w
2022-05-18T04:23:17.5123618Z     key
2022-05-18T04:23:17.5123712Z 
2022-05-18T04:23:17.5123865Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_eye
2022-05-18T04:23:17.5124677Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:6400: TracerWarning: Converting a tensor to a Python integer might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:23:17.5125163Z     torch.eye(x.size()[1], 3),
2022-05-18T04:23:17.5125282Z 
2022-05-18T04:23:17.5125432Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_eye
2022-05-18T04:23:17.5126205Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:6402: TracerWarning: Converting a tensor to a Python integer might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:23:17.5126708Z     torch.eye(x.size()[1], 2, dtype=torch.long),
2022-05-18T04:23:17.5126846Z 
2022-05-18T04:23:17.5126999Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_eye
2022-05-18T04:23:17.5127771Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:6403: TracerWarning: Converting a tensor to a Python integer might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:23:17.5128242Z     torch.eye(x.shape[0]),
2022-05-18T04:23:17.5128347Z 
2022-05-18T04:23:17.5128496Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_eye
2022-05-18T04:23:17.5129266Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:6404: TracerWarning: Converting a tensor to a Python integer might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:23:17.5129774Z     torch.eye(x.shape[0], dtype=torch.float64),
2022-05-18T04:23:17.5129914Z 
2022-05-18T04:23:17.5130089Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_fake_quantize_activation
2022-05-18T04:23:17.5130424Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_qat_conv2d
2022-05-18T04:23:17.5130768Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_qat_conv2d_relu
2022-05-18T04:23:17.5131121Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_qat_conv2d_relu_fused
2022-05-18T04:23:17.5131465Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_qat_linear_per_channel
2022-05-18T04:23:17.5131848Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_qat_maxpool2d
2022-05-18T04:23:17.5132184Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_qat_relu
2022-05-18T04:23:17.5132828Z   /opt/conda/lib/python3.7/site-packages/torch/ao/quantization/observer.py:178: UserWarning: Please use quant_min and quant_max to specify the range for observers.                     reduce_range will be deprecated in a future release of PyTorch.
2022-05-18T04:23:17.5133265Z     reduce_range will be deprecated in a future release of PyTorch."
2022-05-18T04:23:17.5133431Z 
2022-05-18T04:23:17.5133607Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_fake_quantize_activation
2022-05-18T04:23:17.5134151Z   /opt/conda/lib/python3.7/site-packages/torch/ao/quantization/utils.py:281: UserWarning: must run observer before calling calculate_qparams. Returning default values.
2022-05-18T04:23:17.5134662Z     "must run observer before calling calculate_qparams. " +
2022-05-18T04:23:17.5134833Z 
2022-05-18T04:23:17.5134998Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_fake_quantize_activation
2022-05-18T04:23:17.5135882Z   /opt/conda/lib/python3.7/site-packages/torch/ao/quantization/fake_quantize.py:159: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:23:17.5136389Z     if self.observer_enabled[0] == 1:
2022-05-18T04:23:17.5136518Z 
2022-05-18T04:23:17.5136691Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_fake_quantize_activation
2022-05-18T04:23:17.5137494Z   /opt/conda/lib/python3.7/site-packages/torch/ao/quantization/fake_quantize.py:169: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:23:17.5137989Z     if self.fake_quant_enabled[0] == 1:
2022-05-18T04:23:17.5138120Z 
2022-05-18T04:23:17.5138282Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_faster_rcnn
2022-05-18T04:23:17.5138974Z   /opt/conda/lib/python3.7/site-packages/torch/functional.py:478: UserWarning: torch.meshgrid: in an upcoming release, it will be required to pass the indexing argument. (Triggered internally at  /var/lib/jenkins/workspace/aten/src/ATen/native/TensorShape.cpp:2904.)
2022-05-18T04:23:17.5139518Z     return _VF.meshgrid(tensors, **kwargs)  # type: ignore[attr-defined]
2022-05-18T04:23:17.5139684Z 
2022-05-18T04:23:17.5139845Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_faster_rcnn
2022-05-18T04:23:17.5140167Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_mask_rcnn
2022-05-18T04:23:17.5140517Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_transform_images
2022-05-18T04:23:17.5141470Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/detection/transform.py:126: TracerWarning: torch.as_tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:23:17.5142063Z     mean = torch.as_tensor(self.image_mean, dtype=dtype, device=device)
2022-05-18T04:23:17.5142227Z 
2022-05-18T04:23:17.5142374Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_faster_rcnn
2022-05-18T04:23:17.5142709Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_mask_rcnn
2022-05-18T04:23:17.5143049Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_transform_images
2022-05-18T04:23:17.5143987Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/detection/transform.py:127: TracerWarning: torch.as_tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:23:17.5144563Z     std = torch.as_tensor(self.image_std, dtype=dtype, device=device)
2022-05-18T04:23:17.5144723Z 
2022-05-18T04:23:17.5144884Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_faster_rcnn
2022-05-18T04:23:17.5145249Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_interpolate_adaptive_pooling_error
2022-05-18T04:23:17.5145611Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_mask_rcnn
2022-05-18T04:23:17.5145933Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_resize_images
2022-05-18T04:23:17.5146281Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_transform_images
2022-05-18T04:23:17.5147170Z   /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:3846: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:23:17.5147676Z     for i in range(dim)
2022-05-18T04:23:17.5147787Z 
2022-05-18T04:23:17.5147935Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_faster_rcnn
2022-05-18T04:23:17.5148269Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_mask_rcnn
2022-05-18T04:23:17.5148605Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_resize_images
2022-05-18T04:23:17.5148945Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_transform_images
2022-05-18T04:23:17.5149629Z   /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:3846: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor).
2022-05-18T04:23:17.5150052Z     for i in range(dim)
2022-05-18T04:23:17.5150166Z 
2022-05-18T04:23:17.5150325Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_faster_rcnn
2022-05-18T04:23:17.5150657Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_mask_rcnn
2022-05-18T04:23:17.5150974Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_roi_heads
2022-05-18T04:23:17.5151301Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_rpn
2022-05-18T04:23:17.5152285Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/detection/anchor_utils.py:148: UserWarning: __floordiv__ is deprecated, and its behavior will change in a future version of pytorch. It currently rounds toward 0 (like the 'trunc' function NOT 'floor'). This results in incorrect rounding for negative values. To keep the current behavior, use torch.div(a, b, rounding_mode='trunc'), or for actual floor division, use torch.div(a, b, rounding_mode='floor').
2022-05-18T04:23:17.5152961Z     torch.tensor(image_size[1] // g[1], dtype=torch.int64, device=device)] for g in grid_sizes]
2022-05-18T04:23:17.5153142Z 
2022-05-18T04:23:17.5153302Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_faster_rcnn
2022-05-18T04:23:17.5153619Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_mask_rcnn
2022-05-18T04:23:17.5153950Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_roi_heads
2022-05-18T04:23:17.5154273Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_rpn
2022-05-18T04:23:17.5155178Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/detection/anchor_utils.py:148: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:23:17.5155792Z     torch.tensor(image_size[1] // g[1], dtype=torch.int64, device=device)] for g in grid_sizes]
2022-05-18T04:23:17.5156004Z 
2022-05-18T04:23:17.5156236Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_faster_rcnn
2022-05-18T04:23:17.5156741Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_mask_rcnn
2022-05-18T04:23:17.5157281Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_roi_heads
2022-05-18T04:23:17.5157709Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_rpn
2022-05-18T04:23:17.5159006Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/detection/anchor_utils.py:148: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor).
2022-05-18T04:23:17.5159924Z     torch.tensor(image_size[1] // g[1], dtype=torch.int64, device=device)] for g in grid_sizes]
2022-05-18T04:23:17.5160311Z 
2022-05-18T04:23:17.5160589Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_faster_rcnn
2022-05-18T04:23:17.5161242Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_mask_rcnn
2022-05-18T04:23:17.5162912Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/detection/anchor_utils.py:61: TracerWarning: torch.as_tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:23:17.5163989Z     scales = torch.as_tensor(scales, dtype=dtype, device=device)
2022-05-18T04:23:17.5164289Z 
2022-05-18T04:23:17.5164578Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_faster_rcnn
2022-05-18T04:23:17.5165181Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_mask_rcnn
2022-05-18T04:23:17.5166736Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/detection/anchor_utils.py:62: TracerWarning: torch.as_tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:23:17.5167360Z     aspect_ratios = torch.as_tensor(aspect_ratios, dtype=dtype, device=device)
2022-05-18T04:23:17.5167540Z 
2022-05-18T04:23:17.5167706Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_faster_rcnn
2022-05-18T04:23:17.5168043Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_mask_rcnn
2022-05-18T04:23:17.5168378Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_roi_heads
2022-05-18T04:23:17.5168796Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_rpn
2022-05-18T04:23:17.5169659Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/detection/anchor_utils.py:136: TracerWarning: Converting a tensor to a Python integer might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:23:17.5170256Z     key = str(grid_sizes) + str(strides)
2022-05-18T04:23:17.5170385Z 
2022-05-18T04:23:17.5170548Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_faster_rcnn
2022-05-18T04:23:17.5170949Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_mask_rcnn
2022-05-18T04:23:17.5171284Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_roi_heads
2022-05-18T04:23:17.5171616Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_rpn
2022-05-18T04:23:17.5172392Z   /opt/conda/lib/python3.7/site-packages/torch/_tensor_str.py:424: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:23:17.5172875Z     if self.numel() == 0 and not self.is_sparse:
2022-05-18T04:23:17.5173012Z 
2022-05-18T04:23:17.5173172Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_faster_rcnn
2022-05-18T04:23:17.5173505Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_mask_rcnn
2022-05-18T04:23:17.5173842Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_roi_heads
2022-05-18T04:23:17.5174155Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_rpn
2022-05-18T04:23:17.5175143Z   /opt/conda/lib/python3.7/site-packages/torch/_tensor_str.py:237: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:23:17.5175621Z     if self.numel() == 0:
2022-05-18T04:23:17.5175740Z 
2022-05-18T04:23:17.5175902Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_faster_rcnn
2022-05-18T04:23:17.5176224Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_mask_rcnn
2022-05-18T04:23:17.5176553Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_roi_heads
2022-05-18T04:23:17.5176886Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_rpn
2022-05-18T04:23:17.5177750Z   /opt/conda/lib/python3.7/site-packages/torch/_tensor_str.py:270: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:23:17.5178303Z     formatter = _Formatter(get_summarized_data(self) if summarize else self)
2022-05-18T04:23:17.5178476Z 
2022-05-18T04:23:17.5178637Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_faster_rcnn
2022-05-18T04:23:17.5179019Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_mask_rcnn
2022-05-18T04:23:17.5179348Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_roi_heads
2022-05-18T04:23:17.5179662Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_rpn
2022-05-18T04:23:17.5180383Z   /opt/conda/lib/python3.7/site-packages/torch/_tensor_str.py:98: TracerWarning: Iterating over a tensor might cause the trace to be incorrect. Passing a tensor of different shape won't change the number of iterations executed (and might lead to errors or silently give incorrect results).
2022-05-18T04:23:17.5180836Z     for value in tensor_view:
2022-05-18T04:23:17.5180956Z 
2022-05-18T04:23:17.5181116Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_faster_rcnn
2022-05-18T04:23:17.5181519Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_mask_rcnn
2022-05-18T04:23:17.5181849Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_roi_heads
2022-05-18T04:23:17.5182174Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_rpn
2022-05-18T04:23:17.5182926Z   /opt/conda/lib/python3.7/site-packages/torch/_tensor.py:662: TracerWarning: Converting a tensor to a Python number might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:23:17.5183480Z     return self.item().__format__(format_spec)
2022-05-18T04:23:17.5183618Z 
2022-05-18T04:23:17.5183780Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_faster_rcnn
2022-05-18T04:23:17.5184118Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_mask_rcnn
2022-05-18T04:23:17.5184433Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_roi_heads
2022-05-18T04:23:17.5184764Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_rpn
2022-05-18T04:23:17.5185528Z   /opt/conda/lib/python3.7/site-packages/torch/_tensor_str.py:176: TracerWarning: Converting a tensor to a Python number might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:23:17.5186028Z     return formatter1.format(self.item())
2022-05-18T04:23:17.5186171Z 
2022-05-18T04:23:17.5186362Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_faster_rcnn
2022-05-18T04:23:17.5186688Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_mask_rcnn
2022-05-18T04:23:17.5187018Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_roi_heads
2022-05-18T04:23:17.5187342Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_rpn
2022-05-18T04:23:17.5188297Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/detection/rpn.py:85: UserWarning: __floordiv__ is deprecated, and its behavior will change in a future version of pytorch. It currently rounds toward 0 (like the 'trunc' function NOT 'floor'). This results in incorrect rounding for negative values. To keep the current behavior, use torch.div(a, b, rounding_mode='trunc'), or for actual floor division, use torch.div(a, b, rounding_mode='floor').
2022-05-18T04:23:17.5188880Z     A = Ax4 // 4
2022-05-18T04:23:17.5188987Z 
2022-05-18T04:23:17.5189149Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_faster_rcnn
2022-05-18T04:23:17.5189489Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_mask_rcnn
2022-05-18T04:23:17.5189821Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_roi_heads
2022-05-18T04:23:17.5190132Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_rpn
2022-05-18T04:23:17.5191097Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/detection/rpn.py:86: UserWarning: __floordiv__ is deprecated, and its behavior will change in a future version of pytorch. It currently rounds toward 0 (like the 'trunc' function NOT 'floor'). This results in incorrect rounding for negative values. To keep the current behavior, use torch.div(a, b, rounding_mode='trunc'), or for actual floor division, use torch.div(a, b, rounding_mode='floor').
2022-05-18T04:23:17.5191666Z     C = AxC // A
2022-05-18T04:23:17.5191772Z 
2022-05-18T04:23:17.5191936Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_faster_rcnn
2022-05-18T04:23:17.5192264Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_mask_rcnn
2022-05-18T04:23:17.5192594Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_roi_heads
2022-05-18T04:23:17.5192920Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_rpn
2022-05-18T04:23:17.5193731Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/detection/_utils.py:177: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:23:17.5194245Z     if box_sum > 0:
2022-05-18T04:23:17.5194355Z 
2022-05-18T04:23:17.5194515Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_faster_rcnn
2022-05-18T04:23:17.5194851Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_mask_rcnn
2022-05-18T04:23:17.5195181Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_roi_heads
2022-05-18T04:23:17.5195491Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_rpn
2022-05-18T04:23:17.5196358Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/detection/_utils.py:218: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:23:17.5197066Z     pred_boxes1 = pred_ctr_x - torch.tensor(0.5, dtype=pred_ctr_x.dtype, device=pred_w.device) * pred_w
2022-05-18T04:23:17.5197263Z 
2022-05-18T04:23:17.5197426Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_faster_rcnn
2022-05-18T04:23:17.5197779Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_mask_rcnn
2022-05-18T04:23:17.5198112Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_roi_heads
2022-05-18T04:23:17.5198439Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_rpn
2022-05-18T04:23:17.5199312Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/detection/_utils.py:219: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:23:17.5200011Z     pred_boxes2 = pred_ctr_y - torch.tensor(0.5, dtype=pred_ctr_y.dtype, device=pred_h.device) * pred_h
2022-05-18T04:23:17.5200194Z 
2022-05-18T04:23:17.5200356Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_faster_rcnn
2022-05-18T04:23:17.5200693Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_mask_rcnn
2022-05-18T04:23:17.5201026Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_roi_heads
2022-05-18T04:23:17.5201337Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_rpn
2022-05-18T04:23:17.5202201Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/detection/_utils.py:220: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:23:17.5202826Z     pred_boxes3 = pred_ctr_x + torch.tensor(0.5, dtype=pred_ctr_x.dtype, device=pred_w.device) * pred_w
2022-05-18T04:23:17.5203018Z 
2022-05-18T04:23:17.5203180Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_faster_rcnn
2022-05-18T04:23:17.5203518Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_mask_rcnn
2022-05-18T04:23:17.5203834Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_roi_heads
2022-05-18T04:23:17.5204160Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_rpn
2022-05-18T04:23:17.5205030Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/detection/_utils.py:221: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:23:17.5205678Z     pred_boxes4 = pred_ctr_y + torch.tensor(0.5, dtype=pred_ctr_y.dtype, device=pred_h.device) * pred_h
2022-05-18T04:23:17.5205869Z 
2022-05-18T04:23:17.5206018Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_faster_rcnn
2022-05-18T04:23:17.5206354Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_mask_rcnn
2022-05-18T04:23:17.5206685Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_roi_heads
2022-05-18T04:23:17.5207012Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_rpn
2022-05-18T04:23:17.5207811Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/detection/_utils.py:182: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:23:17.5208307Z     if box_sum > 0:
2022-05-18T04:23:17.5208416Z 
2022-05-18T04:23:17.5208577Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_faster_rcnn
2022-05-18T04:23:17.5208948Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_mask_rcnn
2022-05-18T04:23:17.5209267Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_roi_heads
2022-05-18T04:23:17.5209593Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_rpn
2022-05-18T04:23:17.5210458Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/detection/rpn.py:24: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:23:17.5211041Z     (torch.tensor([orig_pre_nms_top_n], dtype=num_anchors.dtype),
2022-05-18T04:23:17.5211206Z 
2022-05-18T04:23:17.5211365Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_faster_rcnn
2022-05-18T04:23:17.5211687Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_mask_rcnn
2022-05-18T04:23:17.5212018Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_roi_heads
2022-05-18T04:23:17.5212343Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_rpn
2022-05-18T04:23:17.5213134Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/detection/rpn.py:225: TracerWarning: Converting a tensor to a Python integer might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:23:17.5213665Z     _, top_n_idx = ob.topk(pre_nms_top_n, dim=1)
2022-05-18T04:23:17.5213808Z 
2022-05-18T04:23:17.5213966Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_faster_rcnn
2022-05-18T04:23:17.5214299Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_mask_rcnn
2022-05-18T04:23:17.5214786Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_roi_heads
2022-05-18T04:23:17.5215116Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_rpn
2022-05-18T04:23:17.5215885Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/detection/rpn.py:259: TracerWarning: Iterating over a tensor might cause the trace to be incorrect. Passing a tensor of different shape won't change the number of iterations executed (and might lead to errors or silently give incorrect results).
2022-05-18T04:23:17.5216445Z     for boxes, scores, lvl, img_shape in zip(proposals, objectness_prob, levels, image_shapes):
2022-05-18T04:23:17.5216633Z 
2022-05-18T04:23:17.5216795Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_faster_rcnn
2022-05-18T04:23:17.5217182Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_mask_rcnn
2022-05-18T04:23:17.5217987Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/ops/poolers.py:178: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:23:17.5218482Z     max_x = max(shape[0], max_x)
2022-05-18T04:23:17.5218605Z 
2022-05-18T04:23:17.5218770Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_faster_rcnn
2022-05-18T04:23:17.5219089Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_mask_rcnn
2022-05-18T04:23:17.5219888Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/ops/poolers.py:179: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:23:17.5220383Z     max_y = max(shape[1], max_y)
2022-05-18T04:23:17.5220502Z 
2022-05-18T04:23:17.5220701Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_faster_rcnn
2022-05-18T04:23:17.5221022Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_mask_rcnn
2022-05-18T04:23:17.5221443Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_multi_scale_roi_align
2022-05-18T04:23:17.5222258Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/ops/poolers.py:163: TracerWarning: Converting a tensor to a Python float might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:23:17.5222773Z     approx_scale = float(s1) / float(s2)
2022-05-18T04:23:17.5222906Z 
2022-05-18T04:23:17.5223053Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_faster_rcnn
2022-05-18T04:23:17.5223393Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_mask_rcnn
2022-05-18T04:23:17.5223741Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_multi_scale_roi_align
2022-05-18T04:23:17.5224616Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/ops/poolers.py:164: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:23:17.5225183Z     scale = 2 ** float(torch.tensor(approx_scale).log2().round())
2022-05-18T04:23:17.5225323Z 
2022-05-18T04:23:17.5225486Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_faster_rcnn
2022-05-18T04:23:17.5225821Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_mask_rcnn
2022-05-18T04:23:17.5226167Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_multi_scale_roi_align
2022-05-18T04:23:17.5226972Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/ops/poolers.py:164: TracerWarning: Converting a tensor to a Python float might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:23:17.5227485Z     scale = 2 ** float(torch.tensor(approx_scale).log2().round())
2022-05-18T04:23:17.5227642Z 
2022-05-18T04:23:17.5227800Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_faster_rcnn
2022-05-18T04:23:17.5228136Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_mask_rcnn
2022-05-18T04:23:17.5228518Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_multi_scale_roi_align
2022-05-18T04:23:17.5229378Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/ops/poolers.py:185: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:23:17.5230033Z     lvl_min = -torch.log2(torch.tensor(scales[0], dtype=torch.float32)).item()
2022-05-18T04:23:17.5230204Z 
2022-05-18T04:23:17.5230363Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_faster_rcnn
2022-05-18T04:23:17.5230700Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_mask_rcnn
2022-05-18T04:23:17.5231034Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_multi_scale_roi_align
2022-05-18T04:23:17.5231908Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/ops/poolers.py:185: TracerWarning: Converting a tensor to a Python number might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:23:17.5232528Z     lvl_min = -torch.log2(torch.tensor(scales[0], dtype=torch.float32)).item()
2022-05-18T04:23:17.5232700Z 
2022-05-18T04:23:17.5232861Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_faster_rcnn
2022-05-18T04:23:17.5233198Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_mask_rcnn
2022-05-18T04:23:17.5233530Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_multi_scale_roi_align
2022-05-18T04:23:17.5234397Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/ops/poolers.py:186: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:23:17.5235053Z     lvl_max = -torch.log2(torch.tensor(scales[-1], dtype=torch.float32)).item()
2022-05-18T04:23:17.5235229Z 
2022-05-18T04:23:17.5235393Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_faster_rcnn
2022-05-18T04:23:17.5235717Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_mask_rcnn
2022-05-18T04:23:17.5236061Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_multi_scale_roi_align
2022-05-18T04:23:17.5236862Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/ops/poolers.py:186: TracerWarning: Converting a tensor to a Python number might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:23:17.5237486Z     lvl_max = -torch.log2(torch.tensor(scales[-1], dtype=torch.float32)).item()
2022-05-18T04:23:17.5237660Z 
2022-05-18T04:23:17.5237820Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_faster_rcnn
2022-05-18T04:23:17.5238142Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_mask_rcnn
2022-05-18T04:23:17.5238486Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_multi_scale_roi_align
2022-05-18T04:23:17.5238831Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_roi_heads
2022-05-18T04:23:17.5239670Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/ops/poolers.py:79: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:23:17.5240321Z     target_lvls = torch.floor(self.lvl0 + torch.log2(s / self.s0) + torch.tensor(self.eps, dtype=s.dtype))
2022-05-18T04:23:17.5240517Z 
2022-05-18T04:23:17.5240678Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_faster_rcnn
2022-05-18T04:23:17.5241017Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_mask_rcnn
2022-05-18T04:23:17.5241362Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_multi_scale_roi_align
2022-05-18T04:23:17.5241689Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_roi_heads
2022-05-18T04:23:17.5242429Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/ops/poolers.py:239: TracerWarning: Using len to get tensor shape might cause the trace to be incorrect. Recommended usage would be tensor.shape[0]. Passing a tensor of different shape might lead to errors or silently give incorrect results.
2022-05-18T04:23:17.5242891Z     num_rois = len(rois)
2022-05-18T04:23:17.5243006Z 
2022-05-18T04:23:17.5243169Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_faster_rcnn
2022-05-18T04:23:17.5243520Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_mask_rcnn
2022-05-18T04:23:17.5243870Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_multi_scale_roi_align
2022-05-18T04:23:17.5244214Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_roi_align
2022-05-18T04:23:17.5244538Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_roi_align_aligned
2022-05-18T04:23:17.5244872Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_roi_heads
2022-05-18T04:23:17.5245202Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_roi_pool
2022-05-18T04:23:17.5246004Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/ops/_utils.py:33: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:23:17.5246626Z     assert boxes.size(1) == 5, 'The boxes tensor shape is not correct as Tensor[K, 5]'
2022-05-18T04:23:17.5246788Z 
2022-05-18T04:23:17.5246947Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_faster_rcnn
2022-05-18T04:23:17.5247284Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_mask_rcnn
2022-05-18T04:23:17.5247615Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_roi_heads
2022-05-18T04:23:17.5248476Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/detection/transform.py:275: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:23:17.5249047Z     for s, s_orig in zip(new_size, original_size)
2022-05-18T04:23:17.5249188Z 
2022-05-18T04:23:17.5249346Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_faster_rcnn
2022-05-18T04:23:17.5249682Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_mask_rcnn
2022-05-18T04:23:17.5250012Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_roi_heads
2022-05-18T04:23:17.5250744Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/detection/transform.py:275: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor).
2022-05-18T04:23:17.5251265Z     for s, s_orig in zip(new_size, original_size)
2022-05-18T04:23:17.5251405Z 
2022-05-18T04:23:17.5251568Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_faster_rcnn
2022-05-18T04:23:17.5251919Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_index_put_slice_index
2022-05-18T04:23:17.5252250Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_mask_rcnn
2022-05-18T04:23:17.5252582Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_roi_heads
2022-05-18T04:23:17.5252905Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_rpn
2022-05-18T04:23:17.5253242Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_tensor_index_advanced_indexing
2022-05-18T04:23:17.5253631Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_tensor_index_advanced_indexing_consecutive
2022-05-18T04:23:17.5254027Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_tensor_index_advanced_indexing_ellipsis
2022-05-18T04:23:17.5255177Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/symbolic_opset9.py:4017: UserWarning: Exporting aten::index operator of advanced indexing in opset 13 is achieved by combination of multiple ONNX operators, including Reshape, Transpose, Concat, and Gather. If indices include negative values, the exported graph will produce incorrect results.
2022-05-18T04:23:17.5255769Z     + "If indices include negative values, the exported graph will produce incorrect results."
2022-05-18T04:23:17.5255954Z 
2022-05-18T04:23:17.5256119Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_faster_rcnn
2022-05-18T04:23:17.5256459Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_mask_rcnn
2022-05-18T04:23:17.5256782Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_roi_heads
2022-05-18T04:23:17.5257109Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_rpn
2022-05-18T04:23:17.5258012Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/symbolic_opset9.py:757: UserWarning: This model contains a squeeze operation on dimension 1 on an input with unknown shape. Note that if the size of dimension 1 of the input is not 1, the ONNX model will return an error. Opset version 11 supports squeezing on non-singleton dimensions, it is recommended to export this model using opset version 11 or higher.
2022-05-18T04:23:17.5258551Z     + "version 11 or higher."
2022-05-18T04:23:17.5258668Z 
2022-05-18T04:23:17.5258815Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_faster_rcnn
2022-05-18T04:23:17.5259147Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_mask_rcnn
2022-05-18T04:23:17.5259785Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/utils.py:1522: UserWarning: No names were found for specified dynamic axes of provided input.Automatically generated names will be applied to each dynamic axes of input images_tensors
2022-05-18T04:23:17.5260170Z     key
2022-05-18T04:23:17.5260265Z 
2022-05-18T04:23:17.5260411Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_faster_rcnn
2022-05-18T04:23:17.5261042Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/utils.py:1522: UserWarning: No names were found for specified dynamic axes of provided input.Automatically generated names will be applied to each dynamic axes of input outputs
2022-05-18T04:23:17.5261505Z     key
2022-05-18T04:23:17.5261598Z 
2022-05-18T04:23:17.5261760Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_faster_rcnn
2022-05-18T04:23:17.5262083Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_mask_rcnn
2022-05-18T04:23:17.5262675Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:784: DeprecationWarning: BILINEAR is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.BILINEAR instead.
2022-05-18T04:23:17.5263160Z     image = Image.open(path).convert("RGB").resize(size, Image.BILINEAR)
2022-05-18T04:23:17.5263332Z 
2022-05-18T04:23:17.5263491Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_floor_div
2022-05-18T04:23:17.5264213Z   /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:426: UserWarning: floor_divide is deprecated, and will be removed in a future version of pytorch. It currently rounds toward 0 (like the 'trunc' function NOT 'floor'). This results in incorrect rounding for negative values.
2022-05-18T04:23:17.5265055Z   To keep the current behavior, use torch.div(a, b, rounding_mode='trunc'), or for actual floor division, use torch.div(a, b, rounding_mode='floor'). (Triggered internally at  /var/lib/jenkins/workspace/aten/src/ATen/native/BinaryOps.cpp:599.)
2022-05-18T04:23:17.5265463Z     return callable(*args, **kwargs)
2022-05-18T04:23:17.5265593Z 
2022-05-18T04:23:17.5265754Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_floor_div
2022-05-18T04:23:17.5266736Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2269: UserWarning: __floordiv__ is deprecated, and its behavior will change in a future version of pytorch. It currently rounds toward 0 (like the 'trunc' function NOT 'floor'). This results in incorrect rounding for negative values. To keep the current behavior, use torch.div(a, b, rounding_mode='trunc'), or for actual floor division, use torch.div(a, b, rounding_mode='floor').
2022-05-18T04:23:17.5267280Z     x // 3,
2022-05-18T04:23:17.5267381Z 
2022-05-18T04:23:17.5267539Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_floor_div
2022-05-18T04:23:17.5268484Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2270: UserWarning: __floordiv__ is deprecated, and its behavior will change in a future version of pytorch. It currently rounds toward 0 (like the 'trunc' function NOT 'floor'). This results in incorrect rounding for negative values. To keep the current behavior, use torch.div(a, b, rounding_mode='trunc'), or for actual floor division, use torch.div(a, b, rounding_mode='floor').
2022-05-18T04:23:17.5269034Z     x // 2.0,
2022-05-18T04:23:17.5269135Z 
2022-05-18T04:23:17.5269295Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_floor_div
2022-05-18T04:23:17.5270220Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2271: UserWarning: __floordiv__ is deprecated, and its behavior will change in a future version of pytorch. It currently rounds toward 0 (like the 'trunc' function NOT 'floor'). This results in incorrect rounding for negative values. To keep the current behavior, use torch.div(a, b, rounding_mode='trunc'), or for actual floor division, use torch.div(a, b, rounding_mode='floor').
2022-05-18T04:23:17.5270802Z     x.to(dtype=torch.float64) // 3,
2022-05-18T04:23:17.5270931Z 
2022-05-18T04:23:17.5271087Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_floor_div
2022-05-18T04:23:17.5272032Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2272: UserWarning: __floordiv__ is deprecated, and its behavior will change in a future version of pytorch. It currently rounds toward 0 (like the 'trunc' function NOT 'floor'). This results in incorrect rounding for negative values. To keep the current behavior, use torch.div(a, b, rounding_mode='trunc'), or for actual floor division, use torch.div(a, b, rounding_mode='floor').
2022-05-18T04:23:17.5272602Z     x.to(dtype=torch.float64) // 2.0,
2022-05-18T04:23:17.5272732Z 
2022-05-18T04:23:17.5272877Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_floor_div
2022-05-18T04:23:17.5273806Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2273: UserWarning: __floordiv__ is deprecated, and its behavior will change in a future version of pytorch. It currently rounds toward 0 (like the 'trunc' function NOT 'floor'). This results in incorrect rounding for negative values. To keep the current behavior, use torch.div(a, b, rounding_mode='trunc'), or for actual floor division, use torch.div(a, b, rounding_mode='floor').
2022-05-18T04:23:17.5274410Z     x.to(dtype=torch.int64) // 3,
2022-05-18T04:23:17.5274533Z 
2022-05-18T04:23:17.5274694Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_floor_div
2022-05-18T04:23:17.5275628Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2274: UserWarning: __floordiv__ is deprecated, and its behavior will change in a future version of pytorch. It currently rounds toward 0 (like the 'trunc' function NOT 'floor'). This results in incorrect rounding for negative values. To keep the current behavior, use torch.div(a, b, rounding_mode='trunc'), or for actual floor division, use torch.div(a, b, rounding_mode='floor').
2022-05-18T04:23:17.5276197Z     x.to(dtype=torch.int64) // 2.0,
2022-05-18T04:23:17.5276311Z 
2022-05-18T04:23:17.5276466Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_floor_div
2022-05-18T04:23:17.5277432Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2275: UserWarning: __floordiv__ is deprecated, and its behavior will change in a future version of pytorch. It currently rounds toward 0 (like the 'trunc' function NOT 'floor'). This results in incorrect rounding for negative values. To keep the current behavior, use torch.div(a, b, rounding_mode='trunc'), or for actual floor division, use torch.div(a, b, rounding_mode='floor').
2022-05-18T04:23:17.5278001Z     x // (y + 1.0).to(dtype=torch.int64),
2022-05-18T04:23:17.5278130Z 
2022-05-18T04:23:17.5278287Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_floor_div
2022-05-18T04:23:17.5279223Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2276: UserWarning: __floordiv__ is deprecated, and its behavior will change in a future version of pytorch. It currently rounds toward 0 (like the 'trunc' function NOT 'floor'). This results in incorrect rounding for negative values. To keep the current behavior, use torch.div(a, b, rounding_mode='trunc'), or for actual floor division, use torch.div(a, b, rounding_mode='floor').
2022-05-18T04:23:17.5279754Z     x // y,
2022-05-18T04:23:17.5279854Z 
2022-05-18T04:23:17.5280013Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_floor_div
2022-05-18T04:23:17.5280955Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2277: UserWarning: __floordiv__ is deprecated, and its behavior will change in a future version of pytorch. It currently rounds toward 0 (like the 'trunc' function NOT 'floor'). This results in incorrect rounding for negative values. To keep the current behavior, use torch.div(a, b, rounding_mode='trunc'), or for actual floor division, use torch.div(a, b, rounding_mode='floor').
2022-05-18T04:23:17.5281565Z     x.to(dtype=torch.float64) // y.to(dtype=torch.int64),
2022-05-18T04:23:17.5281713Z 
2022-05-18T04:23:17.5281870Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_floor_div
2022-05-18T04:23:17.5282792Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2278: UserWarning: __floordiv__ is deprecated, and its behavior will change in a future version of pytorch. It currently rounds toward 0 (like the 'trunc' function NOT 'floor'). This results in incorrect rounding for negative values. To keep the current behavior, use torch.div(a, b, rounding_mode='trunc'), or for actual floor division, use torch.div(a, b, rounding_mode='floor').
2022-05-18T04:23:17.5283385Z     x.to(dtype=torch.float64) // y.to(dtype=torch.float64),
2022-05-18T04:23:17.5283537Z 
2022-05-18T04:23:17.5283692Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_floor_div
2022-05-18T04:23:17.5284634Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2279: UserWarning: __floordiv__ is deprecated, and its behavior will change in a future version of pytorch. It currently rounds toward 0 (like the 'trunc' function NOT 'floor'). This results in incorrect rounding for negative values. To keep the current behavior, use torch.div(a, b, rounding_mode='trunc'), or for actual floor division, use torch.div(a, b, rounding_mode='floor').
2022-05-18T04:23:17.5285259Z     x.to(dtype=torch.int64) // y.to(dtype=torch.int64),
2022-05-18T04:23:17.5285408Z 
2022-05-18T04:23:17.5285552Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_floor_div
2022-05-18T04:23:17.5286493Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2280: UserWarning: __floordiv__ is deprecated, and its behavior will change in a future version of pytorch. It currently rounds toward 0 (like the 'trunc' function NOT 'floor'). This results in incorrect rounding for negative values. To keep the current behavior, use torch.div(a, b, rounding_mode='trunc'), or for actual floor division, use torch.div(a, b, rounding_mode='floor').
2022-05-18T04:23:17.5287342Z     x.to(dtype=torch.int64) // y,
2022-05-18T04:23:17.5287471Z 
2022-05-18T04:23:17.5287632Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_floordiv
2022-05-18T04:23:17.5288613Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2301: UserWarning: __floordiv__ is deprecated, and its behavior will change in a future version of pytorch. It currently rounds toward 0 (like the 'trunc' function NOT 'floor'). This results in incorrect rounding for negative values. To keep the current behavior, use torch.div(a, b, rounding_mode='trunc'), or for actual floor division, use torch.div(a, b, rounding_mode='floor').
2022-05-18T04:23:17.5289203Z     return x.new_zeros(x.size(2) // x.size(1))
2022-05-18T04:23:17.5289323Z 
2022-05-18T04:23:17.5289482Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_groupnorm
2022-05-18T04:23:17.5289833Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_groupnorm_noaffine
2022-05-18T04:23:17.5290768Z   /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:2464: UserWarning: __floordiv__ is deprecated, and its behavior will change in a future version of pytorch. It currently rounds toward 0 (like the 'trunc' function NOT 'floor'). This results in incorrect rounding for negative values. To keep the current behavior, use torch.div(a, b, rounding_mode='trunc'), or for actual floor division, use torch.div(a, b, rounding_mode='floor').
2022-05-18T04:23:17.5291420Z     _verify_batch_size([input.size(0) * input.size(1) // num_groups, num_groups] + list(input.size()[2:]))
2022-05-18T04:23:17.5291607Z 
2022-05-18T04:23:17.5291726Z test/onnx/test_pytorch_onnx_onnxruntime.py: 52 warnings
2022-05-18T04:23:17.5292508Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/symbolic_opset9.py:3097: UserWarning: Exporting a model to ONNX with a batch_size other than 1, with a variable length with GRU can cause an error when running the ONNX model with a different batch size. Make sure to save the model with a batch size of 1, or define the initial states (h0/c0) as inputs of the model. 
2022-05-18T04:23:17.5293052Z     + "or define the initial states (h0/c0) as inputs of the model. "
2022-05-18T04:23:17.5293208Z 
2022-05-18T04:23:17.5304875Z test/onnx/test_pytorch_onnx_onnxruntime.py: 32 warnings
2022-05-18T04:23:17.5305790Z   /opt/conda/lib/python3.7/site-packages/torch/nn/modules/rnn.py:918: TracerWarning: Converting a tensor to a Python integer might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:23:17.5306280Z     max_batch_size = int(max_batch_size)
2022-05-18T04:23:17.5306414Z 
2022-05-18T04:23:17.5306605Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_hann_window_default_values
2022-05-18T04:23:17.5307422Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:11822: TracerWarning: Converting a tensor to a Python integer might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:23:17.5308083Z     return torch.add(x, F.relu(torch.hann_window(self.window_length)))
2022-05-18T04:23:17.5308252Z 
2022-05-18T04:23:17.5308420Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_hann_window_not_periodic
2022-05-18T04:23:17.5309226Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:11800: TracerWarning: Converting a tensor to a Python integer might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:23:17.5309745Z     self.window_length, periodic=False, dtype=torch.float
2022-05-18T04:23:17.5309902Z 
2022-05-18T04:23:17.5310073Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_hann_window_periodic
2022-05-18T04:23:17.5310937Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:11778: TracerWarning: Converting a tensor to a Python integer might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:23:17.5311443Z     self.window_length, periodic=True, dtype=torch.float
2022-05-18T04:23:17.5311592Z 
2022-05-18T04:23:17.5311765Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_heatmaps_to_keypoints
2022-05-18T04:23:17.5312757Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/detection/roi_heads.py:269: UserWarning: __floordiv__ is deprecated, and its behavior will change in a future version of pytorch. It currently rounds toward 0 (like the 'trunc' function NOT 'floor'). This results in incorrect rounding for negative values. To keep the current behavior, use torch.div(a, b, rounding_mode='trunc'), or for actual floor division, use torch.div(a, b, rounding_mode='floor').
2022-05-18T04:23:17.5313399Z     y_int = (pos - x_int) // w
2022-05-18T04:23:17.5313520Z 
2022-05-18T04:23:17.5313683Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_if_fold
2022-05-18T04:23:17.5314454Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:7859: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:23:17.5314929Z     if y.numel() > 1:
2022-05-18T04:23:17.5315040Z 
2022-05-18T04:23:17.5315196Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_if_fold
2022-05-18T04:23:17.5315976Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:7928: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:23:17.5316462Z     if y.numel() != 0 and y.dim() == 2:
2022-05-18T04:23:17.5316576Z 
2022-05-18T04:23:17.5316730Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_if_fold
2022-05-18T04:23:17.5317502Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:7940: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:23:17.5317979Z     if x.numel() == y.numel():
2022-05-18T04:23:17.5318099Z 
2022-05-18T04:23:17.5318256Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_if_fold
2022-05-18T04:23:17.5319060Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:7952: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:23:17.5319532Z     if x.numel() != y.numel():
2022-05-18T04:23:17.5319648Z 
2022-05-18T04:23:17.5319823Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_index_add_dim_size_differ
2022-05-18T04:23:17.5320187Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_index_add_dynamic_axes
2022-05-18T04:23:17.5320523Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_index_add_if
2022-05-18T04:23:17.5320870Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_index_add_in_loop
2022-05-18T04:23:17.5321211Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_index_add_normal
2022-05-18T04:23:17.5321815Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/symbolic_opset9.py:4597: UserWarning: Warning: ONNX export does not support duplicated values in 'index' field, this will cause the ONNX model to be incorrect.
2022-05-18T04:23:17.5322335Z     "Warning: ONNX export does not support duplicated values in 'index' field, "
2022-05-18T04:23:17.5322510Z 
2022-05-18T04:23:17.5322669Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_index_copy
2022-05-18T04:23:17.5323281Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:3991: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:23:17.5323796Z     index = torch.tensor([2, 0])
2022-05-18T04:23:17.5323923Z 
2022-05-18T04:23:17.5324084Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_index_fill
2022-05-18T04:23:17.5324677Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:3981: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:23:17.5325181Z     index = torch.tensor([2, 0])
2022-05-18T04:23:17.5325302Z 
2022-05-18T04:23:17.5325458Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_index_mask
2022-05-18T04:23:17.5326179Z   /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:426: UserWarning: indexing with dtype torch.uint8 is now deprecated, please use a dtype torch.bool instead. (Triggered internally at  /var/lib/jenkins/workspace/aten/src/ATen/native/IndexingUtils.h:28.)
2022-05-18T04:23:17.5326632Z     return callable(*args, **kwargs)
2022-05-18T04:23:17.5326744Z 
2022-05-18T04:23:17.5326902Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_index_mask
2022-05-18T04:23:17.5327420Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:1111: UserWarning: indexing with dtype torch.uint8 is now deprecated, please use a dtype torch.bool instead. (Triggered internally at  /var/lib/jenkins/workspace/aten/src/ATen/native/IndexingUtils.h:28.)
2022-05-18T04:23:17.5327886Z     return input[torch.tensor([0, 1, 0], dtype=torch.uint8)]
2022-05-18T04:23:17.5328034Z 
2022-05-18T04:23:17.5328193Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_index_mask
2022-05-18T04:23:17.5328789Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:1111: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:23:17.5329368Z     return input[torch.tensor([0, 1, 0], dtype=torch.uint8)]
2022-05-18T04:23:17.5329515Z 
2022-05-18T04:23:17.5329673Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_index_mask
2022-05-18T04:23:17.5330271Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:1118: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:23:17.5330820Z     return input[torch.tensor([0, 1, 0], dtype=torch.bool)]
2022-05-18T04:23:17.5330956Z 
2022-05-18T04:23:17.5331123Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_index_put_ellipsis
2022-05-18T04:23:17.5331773Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2966: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:23:17.5332299Z     x[..., torch.tensor([2, 1, 3]), 2:4] += update
2022-05-18T04:23:17.5332426Z 
2022-05-18T04:23:17.5332595Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_index_put_ellipsis
2022-05-18T04:23:17.5333208Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2975: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:23:17.5333726Z     x[2, ..., torch.tensor([2, 1, 3]), 2:4] += update
2022-05-18T04:23:17.5333855Z 
2022-05-18T04:23:17.5334015Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_index_put_if
2022-05-18T04:23:17.5334360Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_index_put_if_3
2022-05-18T04:23:17.5334827Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_index_put_if_4
2022-05-18T04:23:17.5335159Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_index_put_if_5
2022-05-18T04:23:17.5335507Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_index_put_inplace_ops
2022-05-18T04:23:17.5336167Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/utils.py:1522: UserWarning: No names were found for specified dynamic axes of provided input.Automatically generated names will be applied to each dynamic axes of input random_data
2022-05-18T04:23:17.5336555Z     key
2022-05-18T04:23:17.5336639Z 
2022-05-18T04:23:17.5336803Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_index_put_if
2022-05-18T04:23:17.5337144Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_index_put_if_3
2022-05-18T04:23:17.5337487Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_index_put_if_4
2022-05-18T04:23:17.5337809Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_index_put_if_5
2022-05-18T04:23:17.5338451Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/utils.py:1522: UserWarning: No names were found for specified dynamic axes of provided input.Automatically generated names will be applied to each dynamic axes of input empty_tensor
2022-05-18T04:23:17.5338833Z     key
2022-05-18T04:23:17.5338926Z 
2022-05-18T04:23:17.5339084Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_index_put_if_2
2022-05-18T04:23:17.5339694Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/utils.py:1522: UserWarning: No names were found for specified dynamic axes of provided input.Automatically generated names will be applied to each dynamic axes of input data
2022-05-18T04:23:17.5340126Z     key
2022-05-18T04:23:17.5340221Z 
2022-05-18T04:23:17.5340384Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_index_put_if_2
2022-05-18T04:23:17.5341013Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/utils.py:1522: UserWarning: No names were found for specified dynamic axes of provided input.Automatically generated names will be applied to each dynamic axes of input state
2022-05-18T04:23:17.5341441Z     key
2022-05-18T04:23:17.5341535Z 
2022-05-18T04:23:17.5341703Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_index_put_singular
2022-05-18T04:23:17.5342322Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2848: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:23:17.5342852Z     mask[indices] = torch.tensor(5.5)
2022-05-18T04:23:17.5343025Z 
2022-05-18T04:23:17.5343196Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_index_put_slice_index
2022-05-18T04:23:17.5343799Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2870: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:23:17.5344316Z     x[1:2, 1:3, torch.tensor([1])] += update
2022-05-18T04:23:17.5344441Z 
2022-05-18T04:23:17.5344612Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_index_put_slice_index
2022-05-18T04:23:17.5345236Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2879: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:23:17.5345774Z     x[torch.tensor([0, 2]), torch.tensor([1, 2])] += update
2022-05-18T04:23:17.5345904Z 
2022-05-18T04:23:17.5346071Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_index_put_slice_index
2022-05-18T04:23:17.5346685Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2888: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:23:17.5347205Z     x[torch.tensor([0, 2]), 1:2] += update
2022-05-18T04:23:17.5347333Z 
2022-05-18T04:23:17.5347505Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_index_put_slice_index
2022-05-18T04:23:17.5348107Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2897: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:23:17.5348621Z     x[torch.tensor([0, 2]), 2] += update
2022-05-18T04:23:17.5348746Z 
2022-05-18T04:23:17.5348917Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_index_put_slice_index
2022-05-18T04:23:17.5349648Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2906: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:23:17.5350204Z     x[1:3, torch.tensor([0, 2]), 2] += update
2022-05-18T04:23:17.5350331Z 
2022-05-18T04:23:17.5350503Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_index_select_constant_scaler_index
2022-05-18T04:23:17.5351133Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:4018: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:23:17.5351677Z     return torch.index_select(x, 1, torch.tensor(index))
2022-05-18T04:23:17.5351825Z 
2022-05-18T04:23:17.5351997Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_initializer_sequence
2022-05-18T04:23:17.5352383Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_onnx_proto_checker
2022-05-18T04:23:17.5352731Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_script_custom_class_error
2022-05-18T04:23:17.5353676Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/utils.py:56: UserWarning: You are exporting the model to ONNX while in training mode with 'train' parameter not specified. The model will default to inference mode export. If you wish to export a training amenable ONNX model, specify training=TrainingMode.TRAINING or training=TrainingMode.PRESERVE (to preserve the original model state) in torch.onnx.export().
2022-05-18T04:23:17.5354309Z     "You are exporting the model to ONNX while in training mode with "
2022-05-18T04:23:17.5354475Z 
2022-05-18T04:23:17.5354637Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_inplace_list
2022-05-18T04:23:17.5354973Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_interpolate_no_shape
2022-05-18T04:23:17.5355322Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_list_pass
2022-05-18T04:23:17.5355644Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_set_
2022-05-18T04:23:17.5355981Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_split_size_with_slice
2022-05-18T04:23:17.5356330Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_symbolic_shape_inference
2022-05-18T04:23:17.5356967Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/utils.py:1522: UserWarning: No names were found for specified dynamic axes of provided input.Automatically generated names will be applied to each dynamic axes of input y
2022-05-18T04:23:17.5357336Z     key
2022-05-18T04:23:17.5357434Z 
2022-05-18T04:23:17.5357622Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_instancenorm1d_norunningstats
2022-05-18T04:23:17.5357993Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_instancenorm2d_norunningstats
2022-05-18T04:23:17.5358366Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_instancenorm3d_norunningstats
2022-05-18T04:23:17.5358752Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_instancenorm_eval_mode_train_layer
2022-05-18T04:23:17.5359463Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/symbolic_helper.py:1139: UserWarning: ONNX export mode is set to inference mode, but operator instance_norm is set to training  mode. The operators will be exported in training , as specified by the functional operator.
2022-05-18T04:23:17.5359909Z     + ", as specified by the functional operator."
2022-05-18T04:23:17.5360051Z 
2022-05-18T04:23:17.5360238Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_instancenorm1d_norunningstats
2022-05-18T04:23:17.5360654Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_instancenorm2d_norunningstats
2022-05-18T04:23:17.5361035Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_instancenorm3d_norunningstats
2022-05-18T04:23:17.5361402Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_instancenorm_eval_mode_train_layer
2022-05-18T04:23:17.5361772Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_instancenorm_training
2022-05-18T04:23:17.5362147Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_instancenorm_training_mode_fix_layer
2022-05-18T04:23:17.5362946Z   /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:2397: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:23:17.5363409Z     if size_prods == 1:
2022-05-18T04:23:17.5363524Z 
2022-05-18T04:23:17.5363747Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_interpolate_adaptive_pooling_error
2022-05-18T04:23:17.5364348Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/symbolic_helper.py:432: UserWarning: ONNX export failed on adaptive_avg_pool1d because output size that are not factor of input size not supported
2022-05-18T04:23:17.5364762Z     "ONNX export failed on " + op + " because " + msg + " not supported"
2022-05-18T04:23:17.5364922Z 
2022-05-18T04:23:17.5365067Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_kldiv_loss
2022-05-18T04:23:17.5365400Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_kldiv_loss
2022-05-18T04:23:17.5365732Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_kldiv_loss
2022-05-18T04:23:17.5366059Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_kldiv_loss
2022-05-18T04:23:17.5366368Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_kldiv_loss
2022-05-18T04:23:17.5366696Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_kldiv_loss
2022-05-18T04:23:17.5367482Z   /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:2853: UserWarning: reduction: 'mean' divides the total loss by both the batch size and the support size.'batchmean' divides only by the batch size, and aligns with the KL div math definition.'mean' will be changed to behave the same as 'batchmean' in the next major release.
2022-05-18T04:23:17.5367954Z     warnings.warn(
2022-05-18T04:23:17.5368052Z 
2022-05-18T04:23:17.5368210Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_kldiv_loss
2022-05-18T04:23:17.5368973Z   /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:2854: UserWarning: reduction: 'mean' divides the total loss by both the batch size and the support size.'batchmean' divides only by the batch size, and aligns with the KL div math definition.'mean' will be changed to behave the same as 'batchmean' in the next major release.
2022-05-18T04:23:17.5369600Z     "reduction: 'mean' divides the total loss by both the batch size and the support size."
2022-05-18T04:23:17.5369776Z 
2022-05-18T04:23:17.5369936Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_kldiv_loss
2022-05-18T04:23:17.5370450Z   /opt/conda/lib/python3.7/site-packages/torch/nn/_reduction.py:42: UserWarning: size_average and reduce args will be deprecated, please use reduction='sum' instead.
2022-05-18T04:23:17.5370799Z     warnings.warn(warning.format(ret))
2022-05-18T04:23:17.5370931Z 
2022-05-18T04:23:17.5371089Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_linspace
2022-05-18T04:23:17.5371881Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2587: TracerWarning: Converting a tensor to a Python integer might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:23:17.5372417Z     return torch.linspace(start, end, steps)
2022-05-18T04:23:17.5372544Z 
2022-05-18T04:23:17.5372718Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_linspace_negative_start
2022-05-18T04:23:17.5373527Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2598: TracerWarning: Converting a tensor to a Python integer might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:23:17.5374026Z     return torch.linspace(start, end, steps)
2022-05-18T04:23:17.5374165Z 
2022-05-18T04:23:17.5374327Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_lower_tuple
2022-05-18T04:23:17.5375390Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:9174: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:23:17.5375924Z     if f.size(0) != input1.size(-1):
2022-05-18T04:23:17.5376052Z 
2022-05-18T04:23:17.5376217Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_lower_tuple_3
2022-05-18T04:23:17.5377010Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:9215: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:23:17.5377490Z     if c.shape[0] == e.shape[0]:
2022-05-18T04:23:17.5377596Z 
2022-05-18T04:23:17.5377718Z test/onnx/test_pytorch_onnx_onnxruntime.py: 60 warnings
2022-05-18T04:23:17.5378516Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/symbolic_opset9.py:3097: UserWarning: Exporting a model to ONNX with a batch_size other than 1, with a variable length with LSTM can cause an error when running the ONNX model with a different batch size. Make sure to save the model with a batch size of 1, or define the initial states (h0/c0) as inputs of the model. 
2022-05-18T04:23:17.5379071Z     + "or define the initial states (h0/c0) as inputs of the model. "
2022-05-18T04:23:17.5379228Z 
2022-05-18T04:23:17.5379396Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_lstm_proj_no_hidden
2022-05-18T04:23:17.5379916Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/symbolic_helper.py:432: UserWarning: ONNX export failed on LSTM because LSTMs with projections not supported
2022-05-18T04:23:17.5380294Z     "ONNX export failed on " + op + " because " + msg + " not supported"
2022-05-18T04:23:17.5380450Z 
2022-05-18T04:23:17.5380570Z test/onnx/test_pytorch_onnx_onnxruntime.py: 32 warnings
2022-05-18T04:23:17.5381364Z   /opt/conda/lib/python3.7/site-packages/torch/nn/modules/rnn.py:728: TracerWarning: Converting a tensor to a Python integer might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:23:17.5381863Z     max_batch_size = int(max_batch_size)
2022-05-18T04:23:17.5381978Z 
2022-05-18T04:23:17.5382099Z test/onnx/test_pytorch_onnx_onnxruntime.py: 32 warnings
2022-05-18T04:23:17.5382842Z   /opt/conda/lib/python3.7/site-packages/torch/nn/modules/rnn.py:677: TracerWarning: Converting a tensor to a Python integer might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:23:17.5383372Z     mini_batch = int(batch_sizes[0])
2022-05-18T04:23:17.5383499Z 
2022-05-18T04:23:17.5383655Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_mask_rcnn
2022-05-18T04:23:17.5383989Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_paste_mask_in_image
2022-05-18T04:23:17.5384866Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/detection/roi_heads.py:372: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:23:17.5385492Z     return torch.tensor(M + 2 * padding).to(torch.float32) / torch.tensor(M).to(torch.float32)
2022-05-18T04:23:17.5385678Z 
2022-05-18T04:23:17.5385842Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_mask_rcnn
2022-05-18T04:23:17.5386172Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_paste_mask_in_image
2022-05-18T04:23:17.5386962Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/detection/roi_heads.py:372: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor).
2022-05-18T04:23:17.5387495Z     return torch.tensor(M + 2 * padding).to(torch.float32) / torch.tensor(M).to(torch.float32)
2022-05-18T04:23:17.5387681Z 
2022-05-18T04:23:17.5387839Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_mask_rcnn
2022-05-18T04:23:17.5388468Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/utils.py:1522: UserWarning: No names were found for specified dynamic axes of provided input.Automatically generated names will be applied to each dynamic axes of input boxes
2022-05-18T04:23:17.5388831Z     key
2022-05-18T04:23:17.5388926Z 
2022-05-18T04:23:17.5389082Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_mask_rcnn
2022-05-18T04:23:17.5389704Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/utils.py:1522: UserWarning: No names were found for specified dynamic axes of provided input.Automatically generated names will be applied to each dynamic axes of input labels
2022-05-18T04:23:17.5390079Z     key
2022-05-18T04:23:17.5390160Z 
2022-05-18T04:23:17.5390315Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_mask_rcnn
2022-05-18T04:23:17.5390942Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/utils.py:1522: UserWarning: No names were found for specified dynamic axes of provided input.Automatically generated names will be applied to each dynamic axes of input scores
2022-05-18T04:23:17.5391315Z     key
2022-05-18T04:23:17.5391408Z 
2022-05-18T04:23:17.5391562Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_mask_rcnn
2022-05-18T04:23:17.5392168Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/utils.py:1522: UserWarning: No names were found for specified dynamic axes of provided input.Automatically generated names will be applied to each dynamic axes of input masks
2022-05-18T04:23:17.5392539Z     key
2022-05-18T04:23:17.5392635Z 
2022-05-18T04:23:17.5392797Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_masked_fill
2022-05-18T04:23:17.5393132Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_masked_fill_inplace
2022-05-18T04:23:17.5393950Z   /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:426: UserWarning: masked_fill_ received a mask with dtype torch.uint8, this behavior is now deprecated,please use a mask with dtype torch.bool instead. (Triggered internally at  /var/lib/jenkins/workspace/aten/src/ATen/native/TensorAdvancedIndexing.cpp:1582.)
2022-05-18T04:23:17.5394502Z     return callable(*args, **kwargs)
2022-05-18T04:23:17.5394629Z 
2022-05-18T04:23:17.5394790Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_masked_fill
2022-05-18T04:23:17.5395381Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:6890: UserWarning: masked_fill_ received a mask with dtype torch.uint8, this behavior is now deprecated,please use a mask with dtype torch.bool instead. (Triggered internally at  /var/lib/jenkins/workspace/aten/src/ATen/native/TensorAdvancedIndexing.cpp:1582.)
2022-05-18T04:23:17.5395868Z     return x.masked_fill(mask, 2)
2022-05-18T04:23:17.5395993Z 
2022-05-18T04:23:17.5396151Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_masked_fill
2022-05-18T04:23:17.5396767Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:6889: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:23:17.5397318Z     mask = torch.tensor([[0, 0, 1], [1, 1, 0]], dtype=torch.uint8)
2022-05-18T04:23:17.5397464Z 
2022-05-18T04:23:17.5397659Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_narrow_dynamic
2022-05-18T04:23:17.5398439Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:3972: TracerWarning: Converting a tensor to a Python integer might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:23:17.5399012Z     return torch.narrow(input, 0, 0, input.shape[0] - 1)
2022-05-18T04:23:17.5399166Z 
2022-05-18T04:23:17.5399344Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_nllloss_dynamic_ignore_index
2022-05-18T04:23:17.5400141Z   /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:2638: TracerWarning: Converting a tensor to a Python integer might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:23:17.5400700Z     return torch._C._nn.nll_loss_nd(input, target, weight, _Reduction.get_enum(reduction), ignore_index)
2022-05-18T04:23:17.5400880Z 
2022-05-18T04:23:17.5401036Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_one_hot
2022-05-18T04:23:17.5401818Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:4396: TracerWarning: Converting a tensor to a Python integer might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:23:17.5402344Z     return torch.nn.functional.one_hot(x, num_classes[0])
2022-05-18T04:23:17.5402499Z 
2022-05-18T04:23:17.5402659Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_qat_conv2d
2022-05-18T04:23:17.5402989Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_qat_conv2d_relu
2022-05-18T04:23:17.5403338Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_qat_conv2d_relu_fused
2022-05-18T04:23:17.5403697Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_qat_linear_per_channel
2022-05-18T04:23:17.5404046Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_qat_maxpool2d
2022-05-18T04:23:17.5404367Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_qat_relu
2022-05-18T04:23:17.5404959Z   /opt/conda/lib/python3.7/site-packages/torch/ao/quantization/observer.py:1137: UserWarning: must run observer before calling calculate_qparams.                                    Returning default scale and zero point 
2022-05-18T04:23:17.5405396Z     Returning default scale and zero point "
2022-05-18T04:23:17.5405534Z 
2022-05-18T04:23:17.5405691Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_qat_conv2d
2022-05-18T04:23:17.5406018Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_qat_conv2d_relu
2022-05-18T04:23:17.5406364Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_qat_conv2d_relu_fused
2022-05-18T04:23:17.5406715Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_qat_linear_per_channel
2022-05-18T04:23:17.5407050Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_qat_maxpool2d
2022-05-18T04:23:17.5407387Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_qat_relu
2022-05-18T04:23:17.5408177Z   /opt/conda/lib/python3.7/site-packages/torch/nn/quantized/modules/__init__.py:53: TracerWarning: Converting a tensor to a Python float might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:23:17.5408708Z     return torch.quantize_per_tensor(X, float(self.scale),
2022-05-18T04:23:17.5408893Z 
2022-05-18T04:23:17.5409053Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_qat_conv2d
2022-05-18T04:23:17.5409380Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_qat_conv2d_relu
2022-05-18T04:23:17.5409727Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_qat_conv2d_relu_fused
2022-05-18T04:23:17.5410077Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_qat_linear_per_channel
2022-05-18T04:23:17.5410415Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_qat_maxpool2d
2022-05-18T04:23:17.5410753Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_qat_relu
2022-05-18T04:23:17.5411551Z   /opt/conda/lib/python3.7/site-packages/torch/nn/quantized/modules/__init__.py:54: TracerWarning: Converting a tensor to a Python integer might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:23:17.5412050Z     int(self.zero_point), self.dtype)
2022-05-18T04:23:17.5412184Z 
2022-05-18T04:23:17.5412337Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_repeat_interleave
2022-05-18T04:23:17.5412955Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:5447: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:23:17.5413477Z     repeats = torch.tensor([4])
2022-05-18T04:23:17.5413602Z 
2022-05-18T04:23:17.5413767Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_repeat_interleave
2022-05-18T04:23:17.5414387Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:5455: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:23:17.5415034Z     repeats = torch.tensor([1, 2])
2022-05-18T04:23:17.5415147Z 
2022-05-18T04:23:17.5415313Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_repeat_interleave
2022-05-18T04:23:17.5415928Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:5463: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:23:17.5416497Z     repeats = torch.tensor([1, 2])
2022-05-18T04:23:17.5416623Z 
2022-05-18T04:23:17.5416789Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_resize_images
2022-05-18T04:23:17.5417113Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_roi_heads
2022-05-18T04:23:17.5417440Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_rpn
2022-05-18T04:23:17.5418068Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/utils.py:1522: UserWarning: No names were found for specified dynamic axes of provided input.Automatically generated names will be applied to each dynamic axes of input input1
2022-05-18T04:23:17.5418450Z     key
2022-05-18T04:23:17.5418531Z 
2022-05-18T04:23:17.5418697Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_roi_align_aligned
2022-05-18T04:23:17.5419398Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/ops/_register_onnx_ops.py:28: UserWarning: ONNX export of ROIAlign with aligned=True does not match PyTorch when using malformed boxes, ONNX forces ROIs to be 1x1 or larger.
2022-05-18T04:23:17.5419901Z     warnings.warn("ONNX export of ROIAlign with aligned=True does not match PyTorch when using malformed boxes,"
2022-05-18T04:23:17.5420112Z 
2022-05-18T04:23:17.5420268Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_roi_heads
2022-05-18T04:23:17.5420579Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_rpn
2022-05-18T04:23:17.5421195Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/utils.py:1522: UserWarning: No names were found for specified dynamic axes of provided input.Automatically generated names will be applied to each dynamic axes of input input2
2022-05-18T04:23:17.5421640Z     key
2022-05-18T04:23:17.5421737Z 
2022-05-18T04:23:17.5421897Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_roi_heads
2022-05-18T04:23:17.5422209Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_rpn
2022-05-18T04:23:17.5422837Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/utils.py:1522: UserWarning: No names were found for specified dynamic axes of provided input.Automatically generated names will be applied to each dynamic axes of input input3
2022-05-18T04:23:17.5423216Z     key
2022-05-18T04:23:17.5423310Z 
2022-05-18T04:23:17.5423469Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_roi_heads
2022-05-18T04:23:17.5423785Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_rpn
2022-05-18T04:23:17.5424402Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/utils.py:1522: UserWarning: No names were found for specified dynamic axes of provided input.Automatically generated names will be applied to each dynamic axes of input input4
2022-05-18T04:23:17.5424777Z     key
2022-05-18T04:23:17.5424872Z 
2022-05-18T04:23:17.5425015Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_roi_heads
2022-05-18T04:23:17.5425343Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_rpn
2022-05-18T04:23:17.5425962Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/utils.py:1522: UserWarning: No names were found for specified dynamic axes of provided input.Automatically generated names will be applied to each dynamic axes of input input5
2022-05-18T04:23:17.5426336Z     key
2022-05-18T04:23:17.5426430Z 
2022-05-18T04:23:17.5426573Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_roi_heads
2022-05-18T04:23:17.5426895Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_rpn
2022-05-18T04:23:17.5427510Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/utils.py:1522: UserWarning: No names were found for specified dynamic axes of provided input.Automatically generated names will be applied to each dynamic axes of input input6
2022-05-18T04:23:17.5427920Z     key
2022-05-18T04:23:17.5428014Z 
2022-05-18T04:23:17.5428156Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_roi_heads
2022-05-18T04:23:17.5428899Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:10666: TracerWarning: Iterating over a tensor might cause the trace to be incorrect. Passing a tensor of different shape won't change the number of iterations executed (and might lead to errors or silently give incorrect results).
2022-05-18T04:23:17.5429430Z     (img.shape[-1], img.shape[-2]) for img in images
2022-05-18T04:23:17.5429570Z 
2022-05-18T04:23:17.5429724Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_roi_heads
2022-05-18T04:23:17.5430451Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:10670: TracerWarning: Iterating over a tensor might cause the trace to be incorrect. Passing a tensor of different shape won't change the number of iterations executed (and might lead to errors or silently give incorrect results).
2022-05-18T04:23:17.5430987Z     images, [(i.shape[-1], i.shape[-2]) for i in images]
2022-05-18T04:23:17.5431131Z 
2022-05-18T04:23:17.5431315Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_rpn
2022-05-18T04:23:17.5432040Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:10583: TracerWarning: Iterating over a tensor might cause the trace to be incorrect. Passing a tensor of different shape won't change the number of iterations executed (and might lead to errors or silently give incorrect results).
2022-05-18T04:23:17.5432568Z     images, [(i.shape[-1], i.shape[-2]) for i in images]
2022-05-18T04:23:17.5432706Z 
2022-05-18T04:23:17.5432852Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_scalar_type
2022-05-18T04:23:17.5433462Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:7023: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:23:17.5433981Z     a = torch.tensor([12.0])
2022-05-18T04:23:17.5434101Z 
2022-05-18T04:23:17.5434266Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_sequence_to_bool
2022-05-18T04:23:17.5434886Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:12225: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:23:17.5435411Z     [False for i in range(x.size()[0])], dtype=torch.bool
2022-05-18T04:23:17.5435558Z 
2022-05-18T04:23:17.5435727Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_sequence_to_float
2022-05-18T04:23:17.5436341Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:12213: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:23:17.5436881Z     [1.1 for i in range(x.size()[0])], dtype=torch.float
2022-05-18T04:23:17.5437024Z 
2022-05-18T04:23:17.5437188Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_sequence_to_int
2022-05-18T04:23:17.5437793Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:12202: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:23:17.5438386Z     result = torch.tensor([2 for i in range(x.size()[0])], dtype=torch.int)
2022-05-18T04:23:17.5438548Z 
2022-05-18T04:23:17.5438727Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_shufflenet_v2_dynamic_axes
2022-05-18T04:23:17.5439245Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/utils.py:1515: UserWarning: Provided key output for dynamic axes is not a valid input/output name
2022-05-18T04:23:17.5439529Z     key
2022-05-18T04:23:17.5439622Z 
2022-05-18T04:23:17.5439800Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_shufflenet_v2_dynamic_axes
2022-05-18T04:23:17.5440799Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/shufflenetv2.py:23: UserWarning: __floordiv__ is deprecated, and its behavior will change in a future version of pytorch. It currently rounds toward 0 (like the 'trunc' function NOT 'floor'). This results in incorrect rounding for negative values. To keep the current behavior, use torch.div(a, b, rounding_mode='trunc'), or for actual floor division, use torch.div(a, b, rounding_mode='floor').
2022-05-18T04:23:17.5441456Z     channels_per_group = num_channels // groups
2022-05-18T04:23:17.5441599Z 
2022-05-18T04:23:17.5441771Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_slice_dynamic_to_end
2022-05-18T04:23:17.5442270Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/utils.py:1515: UserWarning: Provided key input_1 for dynamic axes is not a valid input/output name
2022-05-18T04:23:17.5442568Z     key
2022-05-18T04:23:17.5442661Z 
2022-05-18T04:23:17.5442830Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_slice_dynamic_to_end
2022-05-18T04:23:17.5443341Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/utils.py:1515: UserWarning: Provided key output_1 for dynamic axes is not a valid input/output name
2022-05-18T04:23:17.5443626Z     key
2022-05-18T04:23:17.5443718Z 
2022-05-18T04:23:17.5443886Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_split_size_with_slice
2022-05-18T04:23:17.5444516Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/utils.py:1522: UserWarning: No names were found for specified dynamic axes of provided input.Automatically generated names will be applied to each dynamic axes of input t
2022-05-18T04:23:17.5444871Z     key
2022-05-18T04:23:17.5444969Z 
2022-05-18T04:23:17.5445139Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_split_tensor_scalar
2022-05-18T04:23:17.5445913Z   /opt/conda/lib/python3.7/site-packages/torch/_tensor.py:609: TracerWarning: Converting a tensor to a Python integer might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:23:17.5446389Z     split_size = int(split_size)
2022-05-18T04:23:17.5446514Z 
2022-05-18T04:23:17.5446683Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_squeeze_dynamic_dim
2022-05-18T04:23:17.5447464Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:1958: TracerWarning: Converting a tensor to a Python integer might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:23:17.5447950Z     return torch.squeeze(x, dim)
2022-05-18T04:23:17.5448073Z 
2022-05-18T04:23:17.5448258Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_symbolic_shape_inference_arange
2022-05-18T04:23:17.5449227Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:11538: UserWarning: __rfloordiv__ is deprecated, and its behavior will change in a future version of pytorch. It currently rounds toward 0 (like the 'trunc' function NOT 'floor'). This results in incorrect rounding for negative values. To keep the current behavior, use torch.div(a, b, rounding_mode='trunc'), or for actual floor division, use torch.div(a, b, rounding_mode='floor').
2022-05-18T04:23:17.5449861Z     subframe_step = frame_step // subframe_length
2022-05-18T04:23:17.5450002Z 
2022-05-18T04:23:17.5450173Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_symbolic_shape_inference_arange
2022-05-18T04:23:17.5451151Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:11539: UserWarning: __floordiv__ is deprecated, and its behavior will change in a future version of pytorch. It currently rounds toward 0 (like the 'trunc' function NOT 'floor'). This results in incorrect rounding for negative values. To keep the current behavior, use torch.div(a, b, rounding_mode='trunc'), or for actual floor division, use torch.div(a, b, rounding_mode='floor').
2022-05-18T04:23:17.5451754Z     subframes_per_frame = frame_length // subframe_length
2022-05-18T04:23:17.5451902Z 
2022-05-18T04:23:17.5452089Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_symbolic_shape_inference_arange
2022-05-18T04:23:17.5453083Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:11541: UserWarning: __floordiv__ is deprecated, and its behavior will change in a future version of pytorch. It currently rounds toward 0 (like the 'trunc' function NOT 'floor'). This results in incorrect rounding for negative values. To keep the current behavior, use torch.div(a, b, rounding_mode='trunc'), or for actual floor division, use torch.div(a, b, rounding_mode='floor').
2022-05-18T04:23:17.5453672Z     output_subframes = output_size // subframe_length
2022-05-18T04:23:17.5453805Z 
2022-05-18T04:23:17.5453989Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_symbolic_shape_inference_box_if
2022-05-18T04:23:17.5455000Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:11593: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:23:17.5455488Z     if boxes_1.numel() > 3:
2022-05-18T04:23:17.5455607Z 
2022-05-18T04:23:17.5455792Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_symbolic_shape_inference_slice
2022-05-18T04:23:17.5456443Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/utils.py:1522: UserWarning: No names were found for specified dynamic axes of provided input.Automatically generated names will be applied to each dynamic axes of input position_bias
2022-05-18T04:23:17.5456829Z     key
2022-05-18T04:23:17.5456924Z 
2022-05-18T04:23:17.5457105Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_tensor_index_advanced_indexing
2022-05-18T04:23:17.5457745Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2784: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:23:17.5458264Z     torch.tensor([[0, 2], [1, 1]]),
2022-05-18T04:23:17.5458372Z 
2022-05-18T04:23:17.5458552Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_tensor_index_advanced_indexing
2022-05-18T04:23:17.5459175Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2786: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:23:17.5459747Z     torch.tensor([2, 1]),
2022-05-18T04:23:17.5459867Z 
2022-05-18T04:23:17.5460048Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_tensor_index_advanced_indexing
2022-05-18T04:23:17.5460655Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2787: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:23:17.5461162Z     torch.tensor([0, 3]),
2022-05-18T04:23:17.5461344Z 
2022-05-18T04:23:17.5461526Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_tensor_index_advanced_indexing
2022-05-18T04:23:17.5462148Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2796: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:23:17.5462758Z     :, torch.tensor([0, 2]), None, 2:4, torch.tensor([[1, 3], [4, 0]])
2022-05-18T04:23:17.5462907Z 
2022-05-18T04:23:17.5463075Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_tensor_index_advanced_indexing
2022-05-18T04:23:17.5463704Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2805: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:23:17.5464215Z     torch.tensor([0, 2]),
2022-05-18T04:23:17.5464332Z 
2022-05-18T04:23:17.5464514Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_tensor_index_advanced_indexing
2022-05-18T04:23:17.5465134Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2806: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:23:17.5465625Z     torch.tensor([1]),
2022-05-18T04:23:17.5465742Z 
2022-05-18T04:23:17.5465921Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_tensor_index_advanced_indexing
2022-05-18T04:23:17.5466538Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2808: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:23:17.5467050Z     torch.tensor([[1], [4]]),
2022-05-18T04:23:17.5467165Z 
2022-05-18T04:23:17.5467362Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_tensor_index_advanced_indexing_consecutive
2022-05-18T04:23:17.5467984Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2817: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:23:17.5468519Z     :, torch.tensor([0, 2]), torch.tensor([[1, 3], [4, 0]]), None
2022-05-18T04:23:17.5468662Z 
2022-05-18T04:23:17.5468855Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_tensor_index_advanced_indexing_ellipsis
2022-05-18T04:23:17.5469530Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2774: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:23:17.5470084Z     return input[..., torch.tensor([2, 1]), torch.tensor([0, 3])]
2022-05-18T04:23:17.5470232Z 
2022-05-18T04:23:17.5470390Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_tensordot_dynamic_dim
2022-05-18T04:23:17.5471032Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/utils.py:1522: UserWarning: No names were found for specified dynamic axes of provided input.Automatically generated names will be applied to each dynamic axes of input input_x
2022-05-18T04:23:17.5471408Z     key
2022-05-18T04:23:17.5471501Z 
2022-05-18T04:23:17.5471675Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_tensordot_dynamic_dim
2022-05-18T04:23:17.5472331Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/utils.py:1522: UserWarning: No names were found for specified dynamic axes of provided input.Automatically generated names will be applied to each dynamic axes of input input_y
2022-05-18T04:23:17.5472712Z     key
2022-05-18T04:23:17.5472803Z 
2022-05-18T04:23:17.5472963Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_topk_int32_k
2022-05-18T04:23:17.5473756Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:4060: TracerWarning: Converting a tensor to a Python integer might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:23:17.5474236Z     return torch.topk(x, k)
2022-05-18T04:23:17.5474343Z 
2022-05-18T04:23:17.5474518Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_topk_smallest_unsorted
2022-05-18T04:23:17.5475318Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:4072: TracerWarning: Converting a tensor to a Python integer might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:23:17.5475837Z     topk_unsorted = torch.topk(x, k, largest=False, sorted=False)
2022-05-18T04:23:17.5475993Z 
2022-05-18T04:23:17.5476167Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_topk_smallest_unsorted
2022-05-18T04:23:17.5476946Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:4073: TracerWarning: Converting a tensor to a Python integer might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:23:17.5477465Z     topk_sorted = torch.topk(x, k, largest=False, sorted=True)
2022-05-18T04:23:17.5477619Z 
2022-05-18T04:23:17.5477781Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_trace_script
2022-05-18T04:23:17.5478386Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:8284: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:23:17.5479015Z     return center_slice_helper(input, torch.tensor(input.shape[1] - 1))
2022-05-18T04:23:17.5479184Z 
2022-05-18T04:23:17.5479333Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_trace_script
2022-05-18T04:23:17.5479858Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:8284: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor).
2022-05-18T04:23:17.5480452Z     return center_slice_helper(input, torch.tensor(input.shape[1] - 1))
2022-05-18T04:23:17.5480619Z 
2022-05-18T04:23:17.5480787Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_transformer_encoder
2022-05-18T04:23:17.5481573Z   /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:4995: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:23:17.5482062Z     assert embed_dim == embed_dim_to_check, \
2022-05-18T04:23:17.5482196Z 
2022-05-18T04:23:17.5482366Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_transformer_encoder
2022-05-18T04:23:17.5483189Z   /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:5002: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:23:17.5483753Z     assert head_dim * num_heads == embed_dim, f"embed_dim {embed_dim} not divisible by num_heads {num_heads}"
2022-05-18T04:23:17.5483942Z 
2022-05-18T04:23:17.5484111Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_transformer_encoder
2022-05-18T04:23:17.5484877Z   /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:5008: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:23:17.5485447Z     assert key.shape == value.shape, f"key shape {key.shape} does not match value shape {value.shape}"
2022-05-18T04:23:17.5485640Z 
2022-05-18T04:23:17.5485811Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_transformer_encoder
2022-05-18T04:23:17.5486592Z   /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:4798: TracerWarning: Converting a tensor to a Python float might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:23:17.5487064Z     q = q / math.sqrt(E)
2022-05-18T04:23:17.5487165Z 
2022-05-18T04:23:17.5487319Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_type_as
2022-05-18T04:23:17.5487929Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:7739: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:23:17.5488437Z     y = torch.tensor([1.0])
2022-05-18T04:23:17.5488554Z 
2022-05-18T04:23:17.5488725Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_unfold_dynamic_inputs
2022-05-18T04:23:17.5489510Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:7146: TracerWarning: Converting a tensor to a Python integer might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:23:17.5490104Z     return x.unfold(dimension=2, size=x.shape[1], step=x.shape[1] - 1)
2022-05-18T04:23:17.5490265Z 
2022-05-18T04:23:17.5490473Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_unfold_dynamic_inputs
2022-05-18T04:23:17.5491269Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:7153: TracerWarning: Converting a tensor to a Python integer might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:23:17.5491791Z     return x.unfold(dimension=2, size=x.shape[1], step=1)
2022-05-18T04:23:17.5491935Z 
2022-05-18T04:23:17.5492087Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_uninitialized
2022-05-18T04:23:17.5492870Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:7966: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:23:17.5493341Z     if y.shape[1] < 5:
2022-05-18T04:23:17.5493454Z 
2022-05-18T04:23:17.5493618Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_uninitialized
2022-05-18T04:23:17.5494427Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:7967: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:23:17.5495031Z     if y.size(0) == 1:
2022-05-18T04:23:17.5495141Z 
2022-05-18T04:23:17.5495315Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_uninitialized_dynamic
2022-05-18T04:23:17.5496104Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:7980: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:23:17.5496581Z     if y.shape[1] < 5:
2022-05-18T04:23:17.5496690Z 
2022-05-18T04:23:17.5496849Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_uninitialized_dynamic
2022-05-18T04:23:17.5497636Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:7981: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:23:17.5498101Z     if y.size(0) == 1:
2022-05-18T04:23:17.5498209Z 
2022-05-18T04:23:17.5498381Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_unsqueeze_dynamic_dim
2022-05-18T04:23:17.5499168Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:1976: TracerWarning: Converting a tensor to a Python integer might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:23:17.5499631Z     return torch.unsqueeze(x, dim)
2022-05-18T04:23:17.5499761Z 
2022-05-18T04:23:17.5499923Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_view_dynamic
2022-05-18T04:23:17.5500552Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/utils.py:1522: UserWarning: No names were found for specified dynamic axes of provided input.Automatically generated names will be applied to each dynamic axes of input shape
2022-05-18T04:23:17.5500925Z     key
2022-05-18T04:23:17.5501006Z 
2022-05-18T04:23:17.5501177Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset13::test_where_with_byte_tensor
2022-05-18T04:23:17.5502074Z   /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:426: UserWarning: where received a uint8 condition tensor. This behavior is deprecated and will be removed in a future version of PyTorch. Use a boolean condition instead. (Triggered internally at  /var/lib/jenkins/workspace/aten/src/ATen/native/TensorCompare.cpp:402.)
2022-05-18T04:23:17.5502662Z     return callable(*args, **kwargs)
2022-05-18T04:23:17.5502790Z 
2022-05-18T04:23:17.5503025Z -- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html
2022-05-18T04:23:17.5503215Z 
2022-05-18T04:23:17.5503407Z ---------- coverage: platform linux, python 3.7.13-final-0 -----------
2022-05-18T04:23:17.5503685Z Coverage XML written to file test/coverage.xml
2022-05-18T04:23:17.5503828Z 
2022-05-18T04:23:17.5503943Z =========================== short test summary info ============================
2022-05-18T04:23:17.5504232Z SKIPPED [7] test/onnx/test_pytorch_common.py:98: Unsupported opset_version: 13 < 15
2022-05-18T04:23:17.5504549Z SKIPPED [3] test/onnx/test_pytorch_common.py:53: Unsupported opset_version: 13 < 15
2022-05-18T04:23:17.5504962Z SKIPPED [1] test/onnx/test_pytorch_common.py:98: Due to ONNX Loop shape inference issue. https://msdata.visualstudio.com/Vienna/_workitems/edit/1352001
2022-05-18T04:23:17.5505421Z SKIPPED [2] test/onnx/test_pytorch_common.py:112: Skip verify test for unsupported opset_version
2022-05-18T04:23:17.5505761Z SKIPPED [1] test/onnx/test_pytorch_common.py:53: Unsupported opset_version: 13 < 16
2022-05-18T04:23:17.5506067Z SKIPPED [8] test/onnx/test_pytorch_common.py:53: Unsupported opset_version: 13 < 14
2022-05-18T04:23:17.5506386Z SKIPPED [1] test/onnx/test_pytorch_common.py:68: Unsupported opset_version: 13 > 8
2022-05-18T04:23:17.5506746Z SKIPPED [1] test/onnx/test_pytorch_common.py:53: Failing, see https://github.com/pytorch/pytorch/issues/66528
2022-05-18T04:23:17.5507165Z SKIPPED [1] test/onnx/test_pytorch_common.py:53: Unstable loading pretrained quantized mobilenet v3: https://github.com/pytorch/vision/issues/5303
2022-05-18T04:23:17.5507628Z SKIPPED [1] test/onnx/test_pytorch_common.py:53: Bug in ORT, skip test until rel-1.11.
2022-05-18T04:23:17.5507953Z SKIPPED [1] test/onnx/test_pytorch_common.py:68: Unsupported opset_version: 13 > 10
2022-05-18T04:23:17.5508391Z ========== 778 passed, 27 skipped, 1784 warnings in 614.39s (0:10:14) ==========
2022-05-18T04:23:18.0250977Z + for i in '$(seq 10 16)'
2022-05-18T04:23:18.0251582Z + pytest -v --cov --cov-report xml:test/coverage.xml --cov-append /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14
2022-05-18T04:23:18.2677626Z ============================= test session starts ==============================
2022-05-18T04:23:18.2678075Z platform linux -- Python 3.7.13, pytest-7.1.2, pluggy-1.0.0 -- /opt/conda/bin/python
2022-05-18T04:23:18.2747953Z cachedir: .pytest_cache
2022-05-18T04:23:18.2748312Z rootdir: /var/lib/jenkins/workspace, configfile: pytest.ini
2022-05-18T04:23:18.2748680Z plugins: hypothesis-3.44.6, cov-3.0.0
2022-05-18T04:23:19.1334313Z collecting ... 
2022-05-18T04:23:19.2557856Z collecting 0 items                                                             
2022-05-18T04:23:19.2558242Z collected 805 items                                                            
2022-05-18T04:23:19.2567153Z 
2022-05-18T04:23:19.3863055Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test__dim_arange PASSED [  0%]
2022-05-18T04:23:19.3964384Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_add_inplace Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'x.1'. This changes graph semantics.
2022-05-18T04:23:19.4142475Z Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: '0'. This changes graph semantics.
2022-05-18T04:23:19.4333134Z PASSED [  0%]
2022-05-18T04:23:19.4795840Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_addcmul PASSED [  0%]
2022-05-18T04:23:19.5708533Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_all PASSED [  0%]
2022-05-18T04:23:19.5732930Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_all_optional_default_none SKIPPED [  0%]
2022-05-18T04:23:19.5754346Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_all_optional_default_tensor SKIPPED [  0%]
2022-05-18T04:23:19.5775164Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_all_optional_default_tensor_script SKIPPED [  0%]
2022-05-18T04:23:19.6294636Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_amax_amin PASSED [  0%]
2022-05-18T04:23:19.6955194Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_aminmax PASSED [  1%]
2022-05-18T04:23:19.7497790Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_and_or_xor PASSED [  1%]
2022-05-18T04:23:19.8721781Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_any PASSED [  1%]
2022-05-18T04:23:20.0259921Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_arange_dynamic PASSED [  1%]
2022-05-18T04:23:20.1412135Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_arange_end PASSED [  1%]
2022-05-18T04:23:20.2788698Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_arange_end_notype PASSED [  1%]
2022-05-18T04:23:20.3454116Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_arange_no_type PASSED [  1%]
2022-05-18T04:23:20.4071673Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_arange_out PASSED [  1%]
2022-05-18T04:23:20.5448199Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_arange_start_end PASSED [  2%]
2022-05-18T04:23:20.6839011Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_arange_start_end_notype PASSED [  2%]
2022-05-18T04:23:20.8496801Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_arange_start_end_step PASSED [  2%]
2022-05-18T04:23:21.0132562Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_arange_start_end_step_notype PASSED [  2%]
2022-05-18T04:23:21.1713546Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_arange_start_out PASSED [  2%]
2022-05-18T04:23:21.5328073Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_arange_with_floats PASSED [  2%]
2022-05-18T04:23:21.7481953Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_arange_with_floats_out PASSED [  2%]
2022-05-18T04:23:21.9044787Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_arange_with_floats_override PASSED [  2%]
2022-05-18T04:23:21.9806022Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_argmin_argmax PASSED [  3%]
2022-05-18T04:23:22.1298242Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_argmin_argmax_select_last_index PASSED [  3%]
2022-05-18T04:23:22.2358972Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_arithmetic PASSED [  3%]
2022-05-18T04:23:22.2383015Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_arithmeticOps_with_low_precision SKIPPED [  3%]
2022-05-18T04:23:22.3095972Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_arithmetic_infer_dtype PASSED [  3%]
2022-05-18T04:23:22.4272659Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_arithmetic_prim_bool PASSED [  3%]
2022-05-18T04:23:22.6109855Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_arithmetic_prim_float PASSED [  3%]
2022-05-18T04:23:22.7774147Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_arithmetic_prim_long PASSED [  3%]
2022-05-18T04:23:22.8551759Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_as_strided PASSED [  4%]
2022-05-18T04:23:22.8696464Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_auto_grad PASSED [  4%]
2022-05-18T04:23:22.9349946Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_avgpool PASSED [  4%]
2022-05-18T04:23:22.9964696Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_avgpool_1d_ceil PASSED [  4%]
2022-05-18T04:23:23.0727676Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_avgpool_2d_ceil PASSED [  4%]
2022-05-18T04:23:24.0821064Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_avgpool_3d_ceil PASSED [  4%]
2022-05-18T04:23:24.1420750Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_avgpool_default_stride PASSED [  4%]
2022-05-18T04:23:24.1826114Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_baddbmm PASSED [  4%]
2022-05-18T04:23:24.2120754Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_baddbmm_dynamic PASSED [  5%]
2022-05-18T04:23:24.4221678Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_batched_nms PASSED [  5%]
2022-05-18T04:23:24.5410343Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_batchnorm1d PASSED [  5%]
2022-05-18T04:23:24.6650529Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_batchnorm1d_noaffine PASSED [  5%]
2022-05-18T04:23:24.8581627Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_batchnorm1d_norunningstats PASSED [  5%]
2022-05-18T04:23:24.9365847Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_batchnorm2d PASSED [  5%]
2022-05-18T04:23:25.0187066Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_batchnorm2d_noaffine PASSED [  5%]
2022-05-18T04:23:25.1416496Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_batchnorm2d_norunningstats PASSED [  5%]
2022-05-18T04:23:28.9320117Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_batchnorm3d PASSED [  6%]
2022-05-18T04:23:32.7268930Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_batchnorm3d_noaffine PASSED [  6%]
2022-05-18T04:23:33.3273595Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_batchnorm_eval_mode_train_layer PASSED [  6%]
2022-05-18T04:23:33.5423165Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_batchnorm_training Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'bn1.num_batches_tracked'. This changes graph semantics.
2022-05-18T04:23:33.5424385Z Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'bn2.num_batches_tracked'. This changes graph semantics.
2022-05-18T04:23:33.5425360Z Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'bn3.num_batches_tracked'. This changes graph semantics.
2022-05-18T04:23:33.8612377Z Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'bn1.num_batches_tracked'. This changes graph semantics.
2022-05-18T04:23:33.8613822Z Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'bn2.num_batches_tracked'. This changes graph semantics.
2022-05-18T04:23:33.8615023Z Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'bn3.num_batches_tracked'. This changes graph semantics.
2022-05-18T04:23:33.9807629Z PASSED [  6%]
2022-05-18T04:23:34.2593989Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_batchnorm_training_mode_fix_layer Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'bn1.num_batches_tracked'. This changes graph semantics.
2022-05-18T04:23:34.2595328Z Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'bn2.num_batches_tracked'. This changes graph semantics.
2022-05-18T04:23:34.2596377Z Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'bn3.num_batches_tracked'. This changes graph semantics.
2022-05-18T04:23:34.6500417Z Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'bn1.num_batches_tracked'. This changes graph semantics.
2022-05-18T04:23:34.6501842Z Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'bn2.num_batches_tracked'. This changes graph semantics.
2022-05-18T04:23:34.6502818Z Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'bn3.num_batches_tracked'. This changes graph semantics.
2022-05-18T04:23:34.7808051Z PASSED [  6%]
2022-05-18T04:23:34.8718857Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_bernoulli PASSED [  6%]
2022-05-18T04:23:35.4009052Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_binary_cross_entropy_with_logits PASSED [  6%]
2022-05-18T04:23:35.4758697Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_bitshift PASSED [  6%]
2022-05-18T04:23:35.5443698Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_bitshift_uint8 PASSED [  7%]
2022-05-18T04:23:35.6442643Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_broad_cast_tensors PASSED [  7%]
2022-05-18T04:23:35.7087372Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_bucketize PASSED [  7%]
2022-05-18T04:23:35.7345503Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_cast_to PASSED [  7%]
2022-05-18T04:23:35.7945089Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_cast_to_bool PASSED [  7%]
2022-05-18T04:23:35.8484036Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_cast_type_as_with_bfloat16 PASSED [  7%]
2022-05-18T04:23:35.8945243Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_cdist PASSED [  7%]
2022-05-18T04:23:35.9285928Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_celu PASSED [  7%]
2022-05-18T04:23:35.9592950Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_celu_alpha PASSED [  8%]
2022-05-18T04:23:35.9907450Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_celu_cast PASSED [  8%]
2022-05-18T04:23:36.0203981Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_celu_default PASSED [  8%]
2022-05-18T04:23:36.2243208Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_chunk PASSED [  8%]
2022-05-18T04:23:36.2759210Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_clamp WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:23:36.2761574Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:23:36.2770055Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:23:36.2887864Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:23:36.2890949Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:23:36.2893692Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:23:36.3081806Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:23:36.3085519Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:23:36.3093446Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:23:36.3208606Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:23:36.3212036Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:23:36.3215003Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:23:36.3240882Z PASSED [  8%]
2022-05-18T04:23:36.3435553Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_clamp_dyn WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:23:36.3439153Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:23:36.3447921Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:23:36.3647668Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:23:36.3650749Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:23:36.3659919Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:23:36.4678537Z PASSED [  8%]
2022-05-18T04:23:36.6150611Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_clip_boxes_to_image PASSED [  8%]
2022-05-18T04:23:36.6502753Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_clip_int PASSED [  8%]
2022-05-18T04:23:36.6862729Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_concat PASSED [  9%]
2022-05-18T04:23:36.7069763Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_concat_dynamic PASSED [  9%]
2022-05-18T04:23:36.7282375Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_constant_pad Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:23:36.7299719Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:23:36.7316598Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:23:36.7495990Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:23:36.7513472Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:23:36.7523793Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:23:36.7752639Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:23:36.7769258Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:23:36.7785556Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:23:36.7977009Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:23:36.7996046Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:23:36.8006859Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:23:36.8046204Z PASSED [  9%]
2022-05-18T04:23:39.4154680Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_conv PASSED [  9%]
2022-05-18T04:23:39.6720163Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_conv_bn Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'bn.num_batches_tracked'. This changes graph semantics.
2022-05-18T04:23:39.7305652Z PASSED [  9%]
2022-05-18T04:23:39.9154405Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_conv_shape_inference PASSED [  9%]
2022-05-18T04:23:39.9600747Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_conv_tbc PASSED [  9%]
2022-05-18T04:24:00.8204331Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_conv_transpose PASSED [  9%]
2022-05-18T04:24:00.9900923Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_convolution_allow_tf32 PASSED [ 10%]
2022-05-18T04:24:02.3149876Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_copy_ PASSED [ 10%]
2022-05-18T04:24:02.8579369Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_copy_ellipsis PASSED [ 10%]
2022-05-18T04:24:03.1850219Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_copy_ellipsis_script PASSED [ 10%]
2022-05-18T04:24:03.2818655Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_copy_tracing PASSED [ 10%]
2022-05-18T04:24:03.3219867Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_cosine_similarity PASSED [ 10%]
2022-05-18T04:24:03.3996150Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_cross PASSED [ 10%]
2022-05-18T04:24:05.2180510Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_crossentropyloss PASSED [ 10%]
2022-05-18T04:24:05.2967241Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_cste_script PASSED [ 11%]
2022-05-18T04:24:05.3296306Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_cumsum PASSED [ 11%]
2022-05-18T04:24:05.3950256Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_cumsum_with_cast PASSED [ 11%]
2022-05-18T04:24:05.4332233Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_data PASSED [ 11%]
2022-05-18T04:24:05.4691383Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_dequantize PASSED [ 11%]
2022-05-18T04:24:05.6796839Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_derive_index PASSED [ 11%]
2022-05-18T04:24:05.6927922Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_derive_index_scripting Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'j.11'. This changes graph semantics.
2022-05-18T04:24:05.8209567Z Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'j.11'. This changes graph semantics.
2022-05-18T04:24:05.9500800Z Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'j.11'. This changes graph semantics.
2022-05-18T04:24:06.0544219Z Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'j.11'. This changes graph semantics.
2022-05-18T04:24:06.1472969Z PASSED [ 11%]
2022-05-18T04:24:06.1693904Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_det PASSED [ 11%]
2022-05-18T04:24:06.1995004Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_device_eq PASSED [ 12%]
2022-05-18T04:24:06.5522311Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_diagonal PASSED [ 12%]
2022-05-18T04:24:06.5639790Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_dict PASSED [ 12%]
2022-05-18T04:24:06.5712624Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_dict_output PASSED [ 12%]
2022-05-18T04:24:06.5855069Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_dict_str PASSED [ 12%]
2022-05-18T04:24:06.6272039Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_dim PASSED [ 12%]
2022-05-18T04:24:06.7375062Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_dim_1 PASSED [ 12%]
2022-05-18T04:24:06.9303887Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_dist_normal PASSED [ 12%]
2022-05-18T04:24:06.9896526Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_dist_normal_correctness PASSED [ 13%]
2022-05-18T04:24:07.1804954Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_dist_uniform PASSED [ 13%]
2022-05-18T04:24:07.2378838Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_dist_uniform_correctness PASSED [ 13%]
2022-05-18T04:24:07.2952412Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_div PASSED [ 13%]
2022-05-18T04:24:07.3874131Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_div_promotion_script PASSED [ 13%]
2022-05-18T04:24:07.4273424Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_div_promotion_trace PASSED [ 13%]
2022-05-18T04:24:07.9221396Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_div_rounding_mode PASSED [ 13%]
2022-05-18T04:24:07.9626951Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_dot PASSED [ 13%]
2022-05-18T04:24:08.0034802Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_dropout PASSED [ 14%]
2022-05-18T04:24:08.0399415Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_dropout_training PASSED [ 14%]
2022-05-18T04:24:08.1000851Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_dropout_training_zero PASSED [ 14%]
2022-05-18T04:24:08.1298260Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_dtype PASSED [ 14%]
2022-05-18T04:24:08.1601802Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_dtype_eq PASSED [ 14%]
2022-05-18T04:24:08.2222975Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_dynamic_arange_out PASSED [ 14%]
2022-05-18T04:24:08.3796796Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_dynamic_arange_start_out PASSED [ 14%]
2022-05-18T04:24:08.7003724Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_dynamic_chunk PASSED [ 14%]
2022-05-18T04:24:09.2034240Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_dynamic_expand_as PASSED [ 15%]
2022-05-18T04:24:09.4940595Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_dynamic_repeat_interleave PASSED [ 15%]
2022-05-18T04:24:09.6833746Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_einsum PASSED [ 15%]
2022-05-18T04:24:09.7244683Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_elman_relu_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:09.7245918Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:09.7692423Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:09.7693314Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:09.8267376Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:09.8267954Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:09.8708783Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:09.8709301Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:09.8909063Z PASSED [ 15%]
2022-05-18T04:24:09.9316864Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_elman_relu_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:09.9317918Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:09.9758468Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:09.9758994Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:10.0323794Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:10.0324328Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:10.0765676Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:10.0766220Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:10.0961788Z PASSED [ 15%]
2022-05-18T04:24:10.1367091Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_elman_relu_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:10.1367809Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:10.1808798Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:10.1809339Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:10.2377506Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:10.2378023Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:10.2819689Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:10.2820212Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:10.3011417Z PASSED [ 15%]
2022-05-18T04:24:10.3418142Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_elman_relu_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:10.3418835Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:10.3860241Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:10.3860810Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:10.4420798Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:10.4421382Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:10.4867579Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:10.4868118Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:10.5059418Z PASSED [ 15%]
2022-05-18T04:24:10.5715665Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_elman_relu_trilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:10.5805971Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:10.5884087Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:10.6596214Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:10.6686709Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:10.6762123Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:10.6856117Z PASSED [ 15%]
2022-05-18T04:24:10.7509574Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_elman_relu_trilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:10.7600280Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:10.7675821Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:10.8390191Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:10.8480879Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:10.8556758Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:10.8651412Z PASSED [ 16%]
2022-05-18T04:24:10.9055393Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_elman_relu_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:10.9056112Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:10.9466098Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:10.9466841Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:10.9983653Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:10.9984211Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:11.0393757Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:11.0394477Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:11.0545569Z PASSED [ 16%]
2022-05-18T04:24:11.0948190Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_elman_relu_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:11.0948932Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:11.1359718Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:11.1360449Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:11.1875639Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:11.1876353Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:11.2291633Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:11.2292396Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:11.2444101Z PASSED [ 16%]
2022-05-18T04:24:11.2848375Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_elman_relu_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:11.2849330Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:11.3261748Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:11.3262452Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:11.3772337Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:11.3772999Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:11.4183016Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:11.4183626Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:11.4327512Z PASSED [ 16%]
2022-05-18T04:24:11.4728498Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_elman_relu_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:11.4729238Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:11.5138611Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:11.5139330Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:11.5647629Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:11.5648327Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:11.6058042Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:11.6058727Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:11.6202250Z PASSED [ 16%]
2022-05-18T04:24:11.6568081Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_elman_relu_trilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:11.6651862Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:11.6707762Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:11.7111199Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:11.7195346Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:11.7250610Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:11.7320787Z PASSED [ 16%]
2022-05-18T04:24:11.7686539Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_elman_relu_trilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:11.7771860Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:11.7827833Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:11.8233851Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:11.8318344Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:11.8373534Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:11.8449316Z PASSED [ 16%]
2022-05-18T04:24:11.8821900Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_elman_relu_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:11.8822599Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:11.9220682Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:11.9221332Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:11.9713742Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:11.9714277Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:12.0111919Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:12.0112793Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:12.0266734Z PASSED [ 16%]
2022-05-18T04:24:12.0636154Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_elman_relu_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:12.0636922Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:12.1036257Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:12.1037083Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:12.1529588Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:12.1530111Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:12.1927636Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:12.1928158Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:12.2082579Z PASSED [ 17%]
2022-05-18T04:24:12.2448859Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_elman_relu_trilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:12.2449553Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:12.2847853Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:12.2848395Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:12.3335262Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:12.3335808Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:12.3734260Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:12.3734955Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:12.3884584Z PASSED [ 17%]
2022-05-18T04:24:12.4249247Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_elman_relu_trilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:12.4249955Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:12.4648492Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:12.4649014Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:12.5127579Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:12.5128293Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:12.5529021Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:12.5529554Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:12.5677735Z PASSED [ 17%]
2022-05-18T04:24:12.6289873Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_elman_relu_trilayer_forward_no_initial_state_without_sequence_lengths_with_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:12.6338309Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:12.6383279Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:12.7049230Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:12.7097341Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:12.7141075Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:12.7225002Z PASSED [ 17%]
2022-05-18T04:24:12.7834812Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_elman_relu_trilayer_forward_no_initial_state_without_sequence_lengths_without_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:12.7887605Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:12.7932121Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:12.8594167Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:12.8641075Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:12.8685029Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:12.8768612Z PASSED [ 17%]
2022-05-18T04:24:12.9130811Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_elman_relu_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:12.9131720Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:12.9501104Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:12.9501637Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:12.9942158Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:12.9942683Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:13.0312473Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:13.0313002Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:13.0424571Z PASSED [ 17%]
2022-05-18T04:24:13.0787531Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_elman_relu_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:13.0788258Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:13.1159196Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:13.1159938Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:13.1605609Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:13.1606197Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:13.1978484Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:13.1979002Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:13.2091259Z PASSED [ 17%]
2022-05-18T04:24:13.2453297Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_elman_relu_trilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:13.2453999Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:13.2823880Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:13.2824611Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:13.3260546Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:13.3261132Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:13.3630842Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:13.3631375Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:13.3738423Z PASSED [ 17%]
2022-05-18T04:24:13.4100469Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_elman_relu_trilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:13.4101232Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:13.4469925Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:13.4470457Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:13.4905630Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:13.4906148Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:13.5274787Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:13.5275330Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:13.5380234Z PASSED [ 18%]
2022-05-18T04:24:13.5707483Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_elman_relu_trilayer_forward_with_initial_state_without_sequence_lengths_with_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:13.5751711Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:13.5779827Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:13.6139384Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:13.6183860Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:13.6211476Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:13.6275295Z PASSED [ 18%]
2022-05-18T04:24:13.6601028Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_elman_relu_trilayer_forward_with_initial_state_without_sequence_lengths_without_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:13.6645037Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:13.6673458Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:13.7031453Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:13.7075488Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:13.7104038Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:13.7165608Z PASSED [ 18%]
2022-05-18T04:24:13.7518412Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_elman_relu_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:13.7519247Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:13.7900995Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:13.7901735Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:13.8311360Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:13.8312118Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:13.8688025Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:13.8688797Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:13.8773917Z PASSED [ 18%]
2022-05-18T04:24:13.9127254Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_elman_relu_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:13.9128177Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:13.9504084Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:13.9504809Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:13.9912353Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:13.9913048Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:14.0290231Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:14.0290988Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:14.0377165Z PASSED [ 18%]
2022-05-18T04:24:14.0728969Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_elman_relu_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:14.0729695Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:14.1106000Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:14.1106720Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:14.1508938Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:14.1509751Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:14.1885645Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:14.1886371Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:14.1968609Z PASSED [ 18%]
2022-05-18T04:24:14.2321838Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_elman_relu_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:14.2322560Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:14.2698492Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:14.2699112Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:14.3102793Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:14.3103350Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:14.3479375Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:14.3479948Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:14.3561658Z PASSED [ 18%]
2022-05-18T04:24:14.4161496Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_elman_relu_unilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:14.4186309Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:14.4207966Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:14.4829686Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:14.4855147Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:14.4876844Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:14.4928748Z PASSED [ 18%]
2022-05-18T04:24:14.5533400Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_elman_relu_unilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:14.5558550Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:14.5580648Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:14.6201511Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:14.6226372Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:14.6247261Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:14.6298169Z PASSED [ 19%]
2022-05-18T04:24:14.6647830Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_elman_relu_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:14.6648554Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:14.6996307Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:14.6996878Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:14.7385854Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:14.7386390Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:14.7735897Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:14.7736423Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:14.7807192Z PASSED [ 19%]
2022-05-18T04:24:14.8157046Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_elman_relu_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:14.8157759Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:14.8507225Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:14.8507828Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:14.8899122Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:14.8899742Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:14.9250188Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:14.9250734Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:14.9324732Z PASSED [ 19%]
2022-05-18T04:24:14.9682078Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_elman_relu_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:14.9682800Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:15.0032708Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:15.0033226Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:15.0422558Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:15.0423100Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:15.0771869Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:15.0772377Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:15.0839107Z PASSED [ 19%]
2022-05-18T04:24:15.1188765Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_elman_relu_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:15.1189491Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:15.1540695Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:15.1541331Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:15.1925341Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:15.1926100Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:15.2276135Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:15.2276663Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:15.2342249Z PASSED [ 19%]
2022-05-18T04:24:15.2657801Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_elman_relu_unilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:15.2681041Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:15.2697285Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:15.3022068Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:15.3046085Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:15.3061494Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:15.3101802Z PASSED [ 19%]
2022-05-18T04:24:15.3416810Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_elman_relu_unilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:15.3439617Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:15.3455269Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:15.3777311Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:15.3800147Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:15.3815571Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:15.3853569Z PASSED [ 19%]
2022-05-18T04:24:15.4193440Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_elman_relu_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:15.4194431Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:15.4557177Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:15.4948269Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:15.4948919Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:15.4949412Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:15.5312802Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:15.5313655Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:15.5391026Z PASSED [ 19%]
2022-05-18T04:24:15.5731523Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_elman_relu_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:15.5732233Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:15.6095776Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:15.6096619Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:15.6487193Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:15.6487744Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:15.6851109Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:15.6851675Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:15.6927563Z PASSED [ 20%]
2022-05-18T04:24:15.7267684Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_elman_relu_unilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:15.7268388Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:15.7632287Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:15.7633070Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:15.8013426Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:15.8013962Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:15.8376372Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:15.8376911Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:15.8447476Z PASSED [ 20%]
2022-05-18T04:24:15.8786053Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_elman_relu_unilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:15.8786765Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:15.9149635Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:15.9150174Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:15.9528112Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:15.9528643Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:15.9892753Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:15.9893281Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:15.9963988Z PASSED [ 20%]
2022-05-18T04:24:16.0545841Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_elman_relu_unilayer_forward_no_initial_state_without_sequence_lengths_with_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:16.0558825Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:16.0572610Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:16.1170555Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:16.1184128Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:16.1197913Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:16.1243405Z PASSED [ 20%]
2022-05-18T04:24:16.1823911Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_elman_relu_unilayer_forward_no_initial_state_without_sequence_lengths_without_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:16.1836847Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:16.1850613Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:16.2448093Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:16.2461009Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:16.2474768Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:16.2519967Z PASSED [ 20%]
2022-05-18T04:24:16.2853747Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_elman_relu_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:16.2854451Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:16.3195240Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:16.3195763Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:16.3557688Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:16.3558246Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:16.3894434Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:16.3895201Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:16.3955347Z PASSED [ 20%]
2022-05-18T04:24:16.4288676Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_elman_relu_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:16.4289666Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:16.4626662Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:16.4627223Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:16.4988585Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:16.4989147Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:16.5328130Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:16.5328675Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:16.5387577Z PASSED [ 20%]
2022-05-18T04:24:16.5724830Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_elman_relu_unilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:16.5725536Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:16.6064404Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:16.6064929Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:16.6428017Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:16.6428539Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:16.6765743Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:16.6766341Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:16.6823696Z PASSED [ 20%]
2022-05-18T04:24:16.7157737Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_elman_relu_unilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:16.7158435Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:16.7496098Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:16.7496654Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:16.7856282Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:16.7856822Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:16.8198230Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:16.8198773Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:16.8254456Z PASSED [ 20%]
2022-05-18T04:24:16.8556750Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_elman_relu_unilayer_forward_with_initial_state_without_sequence_lengths_with_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:16.8568163Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:16.8577312Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:16.8885736Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:16.8898174Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:16.8907207Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:16.8941609Z PASSED [ 21%]
2022-05-18T04:24:16.9241889Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_elman_relu_unilayer_forward_with_initial_state_without_sequence_lengths_without_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:16.9253386Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:16.9262803Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:16.9568916Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:16.9580653Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:16.9589955Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:16.9624564Z PASSED [ 21%]
2022-05-18T04:24:17.0032331Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_elman_tanh_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:17.0033090Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:17.0487448Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:17.0487994Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:17.1057087Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:17.1058144Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:17.1501279Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:17.1502204Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:17.1698879Z PASSED [ 21%]
2022-05-18T04:24:17.2110550Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_elman_tanh_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:17.2111892Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:17.2554486Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:17.2555406Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:17.3125817Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:17.3126858Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:17.3568862Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:17.3569752Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:17.3766964Z PASSED [ 21%]
2022-05-18T04:24:17.4174419Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_elman_tanh_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:17.4176312Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:17.4617826Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:17.4618765Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:17.5182161Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:17.5183181Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:17.5624737Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:17.5625715Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:17.5816946Z PASSED [ 21%]
2022-05-18T04:24:17.6228772Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_elman_tanh_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:17.6229516Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:17.6670220Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:17.6670747Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:17.7240523Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:17.7241068Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:17.7690163Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:17.7690693Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:17.7883129Z PASSED [ 21%]
2022-05-18T04:24:17.8542794Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_elman_tanh_trilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:17.8633484Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:17.8714424Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:17.9429104Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:17.9519692Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:17.9600885Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:17.9695711Z PASSED [ 21%]
2022-05-18T04:24:18.0350781Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_elman_tanh_trilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:18.0441551Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:18.0522579Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:18.1241492Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:18.1332885Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:18.1413745Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:18.1510321Z PASSED [ 21%]
2022-05-18T04:24:18.1916586Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_elman_tanh_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:18.1917406Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:18.2328376Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:18.2329070Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:18.2853559Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:18.2854202Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:18.3266785Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:18.3267557Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:18.3422993Z PASSED [ 22%]
2022-05-18T04:24:18.3834868Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_elman_tanh_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:18.3835586Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:18.4246998Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:18.4247750Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:18.4766385Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:18.4766943Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:18.5176209Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:18.5176892Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:18.5327106Z PASSED [ 22%]
2022-05-18T04:24:18.5731829Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_elman_tanh_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:18.5732545Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:18.6143008Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:18.6143567Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:18.6659893Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:18.6660440Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:18.7072770Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:18.7073339Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:18.7220856Z PASSED [ 22%]
2022-05-18T04:24:18.7622709Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_elman_tanh_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:18.7623421Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:18.8033519Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:18.8034049Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:18.8543112Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:18.8543861Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:18.8954365Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:18.8954889Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:18.9100581Z PASSED [ 22%]
2022-05-18T04:24:18.9469497Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_elman_tanh_trilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:18.9553252Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:18.9609260Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:19.0017501Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:19.0101968Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:19.0158080Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:19.0232358Z PASSED [ 22%]
2022-05-18T04:24:19.0603027Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_elman_tanh_trilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:19.0689381Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:19.0745158Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:19.1154807Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:19.1238661Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:19.1294368Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:19.1368767Z PASSED [ 22%]
2022-05-18T04:24:19.1739401Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_elman_tanh_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:19.1740115Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:19.2138980Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:19.2139508Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:19.2626785Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:19.2627327Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:19.3026710Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:19.3027259Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:19.3179834Z PASSED [ 22%]
2022-05-18T04:24:19.3546805Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_elman_tanh_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:19.3547531Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:19.3944787Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:19.3945331Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:19.4431355Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:19.4431904Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:19.4835945Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:19.4836727Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:19.4991529Z PASSED [ 22%]
2022-05-18T04:24:19.5358949Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_elman_tanh_trilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:19.5359661Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:19.5758294Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:19.5759014Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:19.6242382Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:19.6242915Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:19.6641251Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:19.6641896Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:19.6789710Z PASSED [ 23%]
2022-05-18T04:24:19.7160939Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_elman_tanh_trilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:19.7161652Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:19.7561803Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:19.7562333Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:19.8044048Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:19.8044563Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:19.8442465Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:19.8442992Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:19.8589978Z PASSED [ 23%]
2022-05-18T04:24:19.9202257Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_elman_tanh_trilayer_forward_no_initial_state_without_sequence_lengths_with_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:19.9249650Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:19.9293789Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:19.9964002Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:20.0011258Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:20.0056017Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:20.0144682Z PASSED [ 23%]
2022-05-18T04:24:20.0760704Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_elman_tanh_trilayer_forward_no_initial_state_without_sequence_lengths_without_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:20.0808575Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:20.0853091Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:20.1521083Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:20.1568996Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:20.1613053Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:20.1699046Z PASSED [ 23%]
2022-05-18T04:24:20.2063186Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_elman_tanh_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:20.2063970Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:20.2433464Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:20.2433988Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:20.2876826Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:20.2877673Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:20.3247536Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:20.3248062Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:20.3364212Z PASSED [ 23%]
2022-05-18T04:24:20.3725871Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_elman_tanh_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:20.3726815Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:20.4096458Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:20.4096969Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:20.4536180Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:20.4536720Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:20.4908661Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:20.4909187Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:20.5018744Z PASSED [ 23%]
2022-05-18T04:24:20.5378267Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_elman_tanh_trilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:20.5378989Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:20.5748675Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:20.5749189Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:20.6179895Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:20.6180428Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:20.6550082Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:20.6550642Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:20.6654159Z PASSED [ 23%]
2022-05-18T04:24:20.7014434Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_elman_tanh_trilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:20.7015262Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:20.7387484Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:20.7388017Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:20.7822289Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:20.7822821Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:20.8194203Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:20.8194728Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:20.8307212Z PASSED [ 23%]
2022-05-18T04:24:20.8638486Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_elman_tanh_trilayer_forward_with_initial_state_without_sequence_lengths_with_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:20.8682975Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:20.8713397Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:20.9075367Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:20.9119120Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:20.9149967Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:20.9215820Z PASSED [ 24%]
2022-05-18T04:24:20.9543742Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_elman_tanh_trilayer_forward_with_initial_state_without_sequence_lengths_without_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:20.9587392Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:20.9615741Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:20.9981043Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:21.0024881Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:21.0055569Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:21.0123012Z PASSED [ 24%]
2022-05-18T04:24:21.0478747Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_elman_tanh_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:21.0479469Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:21.0856643Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:21.0857175Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:21.1268243Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:21.1268793Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:21.1650207Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:21.1650737Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:21.1737490Z PASSED [ 24%]
2022-05-18T04:24:21.2096213Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_elman_tanh_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:21.2096920Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:21.2474181Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:21.2474706Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:21.2889618Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:21.2890156Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:21.3266605Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:21.3267118Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:21.3353801Z PASSED [ 24%]
2022-05-18T04:24:21.3706279Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_elman_tanh_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:21.3706996Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:21.4087112Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:21.4087840Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:21.4488980Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:21.4489709Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:21.4866952Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:21.4867639Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:21.4950058Z PASSED [ 24%]
2022-05-18T04:24:21.5304037Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_elman_tanh_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:21.5304760Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:21.5680222Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:21.5680744Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:21.6083261Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:21.6083994Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:21.6460509Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:21.6461096Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:21.6542227Z PASSED [ 24%]
2022-05-18T04:24:21.7140364Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_elman_tanh_unilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:21.7164913Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:21.7186665Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:21.7801998Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:21.7826616Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:21.7847724Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:21.7899677Z PASSED [ 24%]
2022-05-18T04:24:21.8502088Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_elman_tanh_unilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:21.8526424Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:21.8550147Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:21.9171729Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:21.9196625Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:21.9220390Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:21.9274059Z PASSED [ 24%]
2022-05-18T04:24:21.9625972Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_elman_tanh_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:21.9626681Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:21.9976922Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:21.9977431Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:22.0371742Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:22.0372282Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:22.0724579Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:22.0725576Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:22.0797067Z PASSED [ 25%]
2022-05-18T04:24:22.1147515Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_elman_tanh_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:22.1148233Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:22.1496104Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:22.1496804Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:22.1883551Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:22.1884257Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:22.2233222Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:22.2233955Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:22.2302572Z PASSED [ 25%]
2022-05-18T04:24:22.2650802Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_elman_tanh_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:22.2651519Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:22.3000525Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:22.3001424Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:22.3384791Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:22.3385306Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:22.3733628Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:22.3734150Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:22.3801476Z PASSED [ 25%]
2022-05-18T04:24:22.4149980Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_elman_tanh_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:22.4150699Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:22.4501033Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:22.4501560Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:22.4882520Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:22.4883044Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:22.5236126Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:22.5236652Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:22.5301704Z PASSED [ 25%]
2022-05-18T04:24:22.5620350Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_elman_tanh_unilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:22.5643176Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:22.5658820Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:22.5987641Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:22.6011910Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:22.6027639Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:22.6066799Z PASSED [ 25%]
2022-05-18T04:24:22.6388077Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_elman_tanh_unilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:22.6410772Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:22.6428307Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:22.6752180Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:22.6774998Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:22.6790585Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:22.6830182Z PASSED [ 25%]
2022-05-18T04:24:22.7170451Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_elman_tanh_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:22.7171163Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:22.7535209Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:22.7535768Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:22.7919786Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:22.7920331Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:22.8283875Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:22.8284396Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:22.8359839Z PASSED [ 25%]
2022-05-18T04:24:22.8699021Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_elman_tanh_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:22.8700004Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:22.9063456Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:22.9063997Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:22.9450205Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:22.9814916Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:22.9815540Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:22.9816279Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:22.9894911Z PASSED [ 25%]
2022-05-18T04:24:23.0238973Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_elman_tanh_unilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:23.0239680Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:23.0606183Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:23.0606696Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:23.0991115Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:23.0991661Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:23.1355283Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:23.1356085Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:23.1428302Z PASSED [ 26%]
2022-05-18T04:24:23.1767561Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_elman_tanh_unilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:23.1768275Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:23.2131537Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:23.2132239Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:23.2511552Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:23.2512074Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:23.2877349Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:23.2877883Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:23.2949182Z PASSED [ 26%]
2022-05-18T04:24:23.3531598Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_elman_tanh_unilayer_forward_no_initial_state_without_sequence_lengths_with_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:23.3544886Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:23.3558830Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:23.4157441Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:23.4169326Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:23.4183376Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:23.4230239Z PASSED [ 26%]
2022-05-18T04:24:23.4811681Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_elman_tanh_unilayer_forward_no_initial_state_without_sequence_lengths_without_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:23.4825341Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:23.4840680Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:23.5441048Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:23.5453841Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:23.5467985Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:23.5514981Z PASSED [ 26%]
2022-05-18T04:24:23.5851482Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_elman_tanh_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:23.5852179Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:23.6190166Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:23.6190677Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:23.6556792Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:23.6557542Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:23.6895479Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:23.6896006Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:23.6956108Z PASSED [ 26%]
2022-05-18T04:24:23.7291971Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_elman_tanh_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:23.7292685Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:23.7630938Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:23.7631514Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:23.7996763Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:23.7997310Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:23.8334807Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:23.8335328Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:23.8394385Z PASSED [ 26%]
2022-05-18T04:24:23.8728090Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_elman_tanh_unilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:23.8729022Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:23.9070508Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:23.9071084Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:23.9428335Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:23.9429003Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:23.9768133Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:23.9768682Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:23.9825248Z PASSED [ 26%]
2022-05-18T04:24:24.0161183Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_elman_tanh_unilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:24.0161889Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:24.0499548Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:24.0500076Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:24.0859829Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:24.0860359Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:24.1199436Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:24.1200412Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:24.1255319Z PASSED [ 26%]
2022-05-18T04:24:24.1557790Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_elman_tanh_unilayer_forward_with_initial_state_without_sequence_lengths_with_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:24.1570107Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:24.1579779Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:24.1887420Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:24.1899301Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:24.1908119Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:24.1943619Z PASSED [ 27%]
2022-05-18T04:24:24.2243781Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_elman_tanh_unilayer_forward_with_initial_state_without_sequence_lengths_without_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:24.2255712Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:24.2264112Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:24.2570690Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:24.2582519Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:24.2591533Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:24.2625802Z PASSED [ 27%]
2022-05-18T04:24:24.4133061Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_embedding PASSED [ 27%]
2022-05-18T04:24:24.5408775Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_embedding_bag PASSED [ 27%]
2022-05-18T04:24:24.6951555Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_embedding_bag_1d_per_sample_weights PASSED [ 27%]
2022-05-18T04:24:24.9007126Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_embedding_bag_2d_per_sample_weights PASSED [ 27%]
2022-05-18T04:24:24.9032432Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_embedding_bag_dynamic_input SKIPPED [ 27%]
2022-05-18T04:24:24.9257853Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_embedding_model_with_external_data PASSED [ 27%]
2022-05-18T04:24:25.0914048Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_embedding_module PASSED [ 28%]
2022-05-18T04:24:25.2176507Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_embedding_renorm PASSED [ 28%]
2022-05-18T04:24:25.2596030Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_empty_branch PASSED [ 28%]
2022-05-18T04:24:25.2703095Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_empty_constant_shape Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'x.1'. This changes graph semantics.
2022-05-18T04:24:25.3290262Z Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'x.1'. This changes graph semantics.
2022-05-18T04:24:25.3875838Z Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'x.1'. This changes graph semantics.
2022-05-18T04:24:25.4521943Z Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'x.1'. This changes graph semantics.
2022-05-18T04:24:25.5423647Z PASSED [ 28%]
2022-05-18T04:24:25.5573576Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_empty_kwargs PASSED [ 28%]
2022-05-18T04:24:25.6375197Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_eq PASSED [ 28%]
2022-05-18T04:24:25.7691728Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_expand PASSED [ 28%]
2022-05-18T04:24:25.9394117Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_eye PASSED [ 28%]
2022-05-18T04:24:25.9615417Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_fake_quantize_activation WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:25.9621215Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:25.9626582Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:25.9665350Z PASSED [ 29%]
2022-05-18T04:24:26.0441286Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_fake_quantize_per_channel PASSED [ 29%]
2022-05-18T04:24:26.0920941Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_fake_quantize_per_tensor PASSED [ 29%]
2022-05-18T04:24:26.1299365Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_fake_quantize_per_tensor_dynamic_scale_zeropoint PASSED [ 29%]
2022-05-18T04:24:27.0549825Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_faster_rcnn [W LegacyTypeDispatch.h:79] Warning: AutoNonVariableTypeMode is deprecated and will be removed in 1.10 release. For kernel implementations please use AutoDispatchBelowADInplaceOrView instead, If you are looking for a user facing API to enable running your inference-only workload, please use c10::InferenceMode. Using AutoDispatchBelowADInplaceOrView in user code is under risk of producing silent wrong result in some edge cases. See Note [AutoDispatchBelowAutograd] for more details. (function operator())
2022-05-18T04:24:29.9339456Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:29.9340386Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:30.2441921Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:30.2442490Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:40.6585378Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:40.6585912Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:40.8801300Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:40.8801835Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:41.1044863Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:41.1045461Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:47.9572869Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:47.9839699Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:57.1696930Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:24:57.2015600Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:25:03.0016605Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:25:03.0017349Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:25:03.0151204Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:25:03.0151846Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:25:03.0509188Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:25:03.0709586Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:25:03.5518957Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:25:03.5519593Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:25:03.5601965Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:25:03.5602612Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:25:03.5684002Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:25:03.5684512Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:25:03.8478240Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:25:03.8492582Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:25:04.2473926Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:25:04.2488494Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:25:04.4290801Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:25:04.4291576Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:25:04.4411937Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:25:04.4412420Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:25:04.4692322Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:25:04.4821840Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:25:04.6039372Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:25:04.6040065Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:25:04.6115252Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:25:04.6115935Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:25:04.6190037Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:25:04.6190807Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:25:04.8233844Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:25:04.8237595Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:25:05.1794308Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:25:05.1797683Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:25:11.3619316Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:25:11.3619855Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:25:11.6650972Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:25:11.6651536Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:25:21.9670086Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:25:21.9670877Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:25:22.1874845Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:25:22.1875677Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:25:22.4102711Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:25:22.4103309Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:25:29.2069891Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:25:29.2343663Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:25:38.4562555Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:25:38.4880242Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:25:44.3270961Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:25:44.3271512Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:25:44.3398077Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:25:44.3398583Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:25:44.3735541Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:25:44.3926611Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:25:44.8559671Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:25:44.8560192Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:25:44.8638967Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:25:44.8639471Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:25:44.8717585Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:25:44.8718345Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:25:45.1357770Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:25:45.1371545Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:25:45.5201993Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:25:45.5216373Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:25:45.6978854Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:25:45.6979371Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:25:45.7092269Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:25:45.7092796Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:25:45.7355778Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:25:45.7477278Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:25:45.8644317Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:25:45.8644834Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:25:45.8717347Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:25:45.8788516Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:25:45.8789030Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:25:45.8789530Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:25:46.0720221Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:25:46.0723848Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:25:46.4168555Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:25:46.4172764Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:25:51.2365696Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:25:51.2366239Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:26:00.9720193Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:26:00.9720747Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:26:01.1860778Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:26:01.1861309Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:26:01.4005511Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:26:01.4006055Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:26:07.8591356Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:26:07.8849731Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:26:14.9438357Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:26:14.9736025Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:26:18.1530797Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:26:18.1531617Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:26:18.1796258Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:26:18.6258053Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:26:18.6258634Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:26:18.6340936Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:26:18.6342140Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:26:18.6419555Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:26:18.6420108Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:26:18.8993397Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:26:18.9006730Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:26:19.2367339Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:26:19.2381592Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:26:19.3526987Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:26:19.3527537Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:26:19.3722988Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:26:19.4805667Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:26:19.4807534Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:26:19.4875970Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:26:19.4876473Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:26:19.4944439Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:26:19.4944949Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:26:19.6786234Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:26:19.6788380Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:26:19.9776947Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:26:19.9779864Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:26:26.1013882Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:26:26.1014971Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:26:35.8613350Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:26:35.8614236Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:26:36.0744590Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:26:36.0745495Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:26:36.2897379Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:26:36.2898245Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:26:42.7736139Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:26:42.7992687Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:26:49.8728130Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:26:49.9031759Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:26:53.1002560Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:26:53.1003424Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:26:53.1273289Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:26:53.5779693Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:26:53.5780277Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:26:53.5859538Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:26:53.5860108Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:26:53.5938625Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:26:53.5939364Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:26:53.8534665Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:26:53.8548614Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:26:54.1439555Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:26:54.1453094Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:26:54.2603698Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:26:54.2604194Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:26:54.2801853Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:26:54.3947055Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:26:54.3947643Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:26:54.4016616Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:26:54.4017117Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:26:54.4085296Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:26:54.4086043Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:26:54.5930026Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:26:54.5933531Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:26:54.8442398Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:26:54.8444781Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:26:58.1653230Z PASSED [ 29%]
2022-05-18T04:26:58.2082492Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_fill PASSED [ 29%]
2022-05-18T04:26:58.2758302Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_flatten PASSED [ 29%]
2022-05-18T04:26:58.3097361Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_flatten2d PASSED [ 29%]
2022-05-18T04:26:58.3802620Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_flatten2d_neg PASSED [ 30%]
2022-05-18T04:26:58.4189578Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_flatten_dynamic_axes PASSED [ 30%]
2022-05-18T04:26:58.4484845Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_flip PASSED [ 30%]
2022-05-18T04:26:58.5339328Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_floating_point PASSED [ 30%]
2022-05-18T04:26:58.6677444Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_floating_point_infer_dtype PASSED [ 30%]
2022-05-18T04:26:59.0859949Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_floor_div PASSED [ 30%]
2022-05-18T04:26:59.1160066Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_floor_div_script PASSED [ 30%]
2022-05-18T04:26:59.2664695Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_floordiv PASSED [ 30%]
2022-05-18T04:26:59.2889850Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_fmod PASSED [ 31%]
2022-05-18T04:26:59.3175684Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_fmod_scalar PASSED [ 31%]
2022-05-18T04:26:59.4257386Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_frobenius_norm PASSED [ 31%]
2022-05-18T04:26:59.4638933Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_frobenius_norm_keepdim PASSED [ 31%]
2022-05-18T04:26:59.5116770Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_full_like PASSED [ 31%]
2022-05-18T04:26:59.5724941Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_full_like_value PASSED [ 31%]
2022-05-18T04:26:59.5965228Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_full_script PASSED [ 31%]
2022-05-18T04:26:59.6434758Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_full_trace PASSED [ 31%]
2022-05-18T04:26:59.6735120Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_fuse_addmm PASSED [ 32%]
2022-05-18T04:26:59.7929839Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_fuse_conv_bn1d PASSED [ 32%]
2022-05-18T04:26:59.9187349Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_fuse_conv_bn2d PASSED [ 32%]
2022-05-18T04:27:00.0648589Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_fuse_conv_bn3d PASSED [ 32%]
2022-05-18T04:27:00.1532433Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_fuse_conv_in_block PASSED [ 32%]
2022-05-18T04:27:00.1872029Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_gather PASSED [ 32%]
2022-05-18T04:27:00.2160315Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_gather_constant_fold WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:00.2277763Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:00.2282686Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:00.2578876Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:27:00.2589410Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:27:00.2660567Z Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: '0'. This changes graph semantics.
2022-05-18T04:27:00.2927357Z PASSED [ 32%]
2022-05-18T04:27:00.3757988Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_ge PASSED [ 32%]
2022-05-18T04:27:00.4290992Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_ge_scalar PASSED [ 33%]
2022-05-18T04:27:00.4609308Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_gelu PASSED [ 33%]
2022-05-18T04:27:00.4926619Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_getitem PASSED [ 33%]
2022-05-18T04:27:00.5263197Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_glu PASSED [ 33%]
2022-05-18T04:27:00.5288129Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_grid_sample SKIPPED [ 33%]
2022-05-18T04:27:09.6550192Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_groupnorm PASSED [ 33%]
2022-05-18T04:27:10.0988887Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_groupnorm_noaffine PASSED [ 33%]
2022-05-18T04:27:10.3016156Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_gru_constant_folding WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:10.3309836Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:10.3469925Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:10.3842359Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:10.4095924Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:10.4243721Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:10.6146243Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:10.6378793Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:10.6510978Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:10.6881085Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:10.7068883Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:10.7176412Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:10.7244434Z PASSED [ 33%]
2022-05-18T04:27:10.9026444Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_gru_no_bias WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:10.9078877Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:10.9143505Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:10.9202798Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:10.9228097Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:10.9257854Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:10.9310045Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:10.9310592Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:10.9314374Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:10.9657334Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:10.9706425Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:10.9765401Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:10.9792091Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:10.9820802Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:10.9854493Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:10.9867765Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:10.9868260Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:10.9872755Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:11.1560555Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:11.1585986Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:11.1619773Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:11.1653796Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:11.1706166Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:11.1718725Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:11.1734451Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:11.1750518Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:11.1799788Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:11.1800501Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:11.1804264Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:11.1808258Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:11.2151999Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:11.2176445Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:11.2212269Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:11.2244629Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:11.2265312Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:11.2278983Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:11.2296174Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:11.2313496Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:11.2323912Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:11.2324412Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:11.2328108Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:11.2331573Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:11.2390626Z PASSED [ 34%]
2022-05-18T04:27:11.4674717Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_gru_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:11.4675435Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:11.5243703Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:11.5244220Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:11.6130012Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:11.6130550Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:11.6856939Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:11.6857519Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:11.9039809Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:11.9041114Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:11.9612084Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:11.9613075Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:12.0480502Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:12.0481519Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:12.1210414Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:12.1211655Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:12.1643097Z PASSED [ 34%]
2022-05-18T04:27:12.3678298Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_gru_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:12.3679640Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:12.4251558Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:12.4252521Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:12.5144230Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:12.5145238Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:12.5867489Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:12.5868473Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:12.8014073Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:12.8015388Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:12.8588166Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:12.8589463Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:12.9451956Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:12.9452955Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:13.0170620Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:13.0171615Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:13.0598186Z PASSED [ 34%]
2022-05-18T04:27:13.2661318Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_gru_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:13.2662660Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:13.3232368Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:13.3233332Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:13.4110490Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:13.4111545Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:13.4831353Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:13.4832277Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:13.7004755Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:13.7005793Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:13.7579405Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:13.7580065Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:13.8444190Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:13.8444786Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:13.9163149Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:13.9163715Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:13.9577503Z PASSED [ 34%]
2022-05-18T04:27:14.1598565Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_gru_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:14.1599286Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:14.2169163Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:14.2169945Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:14.3054434Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:14.3055109Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:14.3779374Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:14.5917004Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:14.5917545Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:14.5918063Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:14.6488702Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:14.6489273Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:14.7342587Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:14.7343119Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:14.8060910Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:14.8061481Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:14.8479959Z PASSED [ 34%]
2022-05-18T04:27:15.0405134Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_gru_trilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:15.0834369Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:15.1065188Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:15.1806482Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:15.2205302Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:15.2466768Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:15.4415948Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:15.4848089Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:15.5055324Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:15.5796486Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:15.6192646Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:15.6457343Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:15.6561286Z PASSED [ 34%]
2022-05-18T04:27:15.8490767Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_gru_trilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:15.8919753Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:15.9148396Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:15.9892882Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:16.0290175Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:16.0552553Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:16.2498266Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:16.2926187Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:16.3132132Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:16.3872215Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:16.4266010Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:16.4528361Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:16.4630856Z PASSED [ 34%]
2022-05-18T04:27:16.6451736Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_gru_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:16.6887744Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:16.6888316Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:16.6888837Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:16.7757457Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:16.7757981Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:16.8451138Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:16.8451934Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:17.0561535Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:17.0562103Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:17.0998764Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:17.0999291Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:17.1840437Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:17.1841353Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:17.2527944Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:17.2528623Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:17.2907306Z PASSED [ 34%]
2022-05-18T04:27:17.4705930Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_gru_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:17.4706905Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:17.5141812Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:17.5142562Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:17.6010419Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:17.6010979Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:17.6707806Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:17.6708538Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:17.8784381Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:17.8784981Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:17.9220997Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:17.9221706Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:18.0062038Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:18.0062673Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:18.0761177Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:18.0762013Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:18.1140621Z PASSED [ 35%]
2022-05-18T04:27:18.2972000Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_gru_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:18.2972731Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:18.3407460Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:18.3408108Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:18.4265266Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:18.4265813Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:18.4954004Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:18.4954725Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:18.7041851Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:18.7042469Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:18.7476340Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:18.7477106Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:18.8313922Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:18.8314675Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:18.9002403Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:18.9003094Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:18.9373891Z PASSED [ 35%]
2022-05-18T04:27:19.1168729Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_gru_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:19.1169685Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:19.1605550Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:19.1606066Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:19.2465014Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:19.2465552Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:19.3161590Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:19.3162121Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:19.5238718Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:19.5239259Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:19.5678335Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:19.5678878Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:19.6518558Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:19.6519088Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:19.7207668Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:19.7208201Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:19.7577923Z PASSED [ 35%]
2022-05-18T04:27:19.9588300Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_gru_trilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:20.0013595Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:20.0240765Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:20.0672444Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:20.1067958Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:20.1311280Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:20.3345312Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:20.3772148Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:20.3968495Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:20.4405392Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:20.4791418Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:20.5033812Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:20.5110387Z PASSED [ 35%]
2022-05-18T04:27:20.7117702Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_gru_trilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:20.7542579Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:20.7771383Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:20.8205779Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:20.8597106Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:20.8839166Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:21.0860203Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:21.1286137Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:21.1481026Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:21.1916259Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:21.2307547Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:21.2556473Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:21.2634771Z PASSED [ 35%]
2022-05-18T04:27:21.4323839Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_gru_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:21.4324549Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:21.4720132Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:21.4720886Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:21.5426949Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:21.5427475Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:21.5956206Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:21.5956746Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:21.7589586Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:21.7590178Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:21.7985914Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:21.7986483Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:21.8664328Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:21.8664871Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:21.9189898Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:21.9190443Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:21.9441501Z PASSED [ 35%]
2022-05-18T04:27:22.1084045Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_gru_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:22.1085044Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:22.1480353Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:22.1481081Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:22.2188674Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:22.2189425Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:22.2716871Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:22.2717397Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:22.4319550Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:22.4320108Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:22.4715449Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:22.4715966Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:22.5395090Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:22.5395639Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:22.5921209Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:22.5922172Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:22.6172982Z PASSED [ 35%]
2022-05-18T04:27:22.7849059Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_gru_trilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:22.7850414Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:22.8248226Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:22.8249248Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:22.8950026Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:22.8951040Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:22.9478559Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:22.9479431Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:23.1104962Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:23.1106000Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:23.1504745Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:23.1505742Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:23.2182142Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:23.2183178Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:23.2711160Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:23.2712017Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:23.2957124Z PASSED [ 35%]
2022-05-18T04:27:23.4612771Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_gru_trilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:23.4614142Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:23.5012645Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:23.5013649Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:23.5717470Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:23.5718766Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:23.6246913Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:23.6247782Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:23.7841329Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:23.7842331Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:23.8238148Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:23.8239477Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:23.8909655Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:23.8910209Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:23.9435073Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:23.9435650Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:23.9680246Z PASSED [ 36%]
2022-05-18T04:27:24.1225769Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_gru_trilayer_forward_no_initial_state_without_sequence_lengths_with_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:24.1456064Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:24.1592634Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:24.2270393Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:24.2461660Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:24.2586170Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:24.4154026Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:24.4387010Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:24.4508326Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:24.5188188Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:24.5380374Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:24.5509128Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:24.5597989Z PASSED [ 36%]
2022-05-18T04:27:24.7140302Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_gru_trilayer_forward_no_initial_state_without_sequence_lengths_without_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:24.7369806Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:24.7506922Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:24.8185542Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:24.8376037Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:24.8500760Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:25.0063371Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:25.0294475Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:25.0410706Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:25.1089476Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:25.1280336Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:25.1404295Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:25.1493405Z PASSED [ 36%]
2022-05-18T04:27:25.2973478Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_gru_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:25.2974399Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:25.3235768Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:25.3236510Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:25.3920250Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:25.3920779Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:25.4420488Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:25.4421295Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:25.6023098Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:25.6023646Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:25.6285685Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:25.6286224Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:25.6948764Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:25.6949288Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:25.7451497Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:25.7452024Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:25.7662265Z PASSED [ 36%]
2022-05-18T04:27:25.9114655Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_gru_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:25.9115422Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:25.9376339Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:25.9376860Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:26.0057790Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:26.0058395Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:26.0558535Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:26.0559072Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:26.2125506Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:26.2126203Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:26.2390257Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:26.2390874Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:26.3044700Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:26.3045274Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:26.3543097Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:26.3543797Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:26.3752116Z PASSED [ 36%]
2022-05-18T04:27:26.5222630Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_gru_trilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:26.5223330Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:26.5486267Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:26.5486981Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:26.6167904Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:26.6168547Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:26.6669170Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:26.6669881Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:26.8252860Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:26.8253413Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:26.8515480Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:26.8516006Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:26.9167930Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:26.9168488Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:26.9665958Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:26.9666490Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:26.9868395Z PASSED [ 36%]
2022-05-18T04:27:27.1319315Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_gru_trilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:27.1320622Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:27.1595159Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:27.1596273Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:27.2274017Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:27.2275023Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:27.2775509Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:27.2776374Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:27.4331824Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:27.4333111Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:27.4595986Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:27.4596951Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:27.5248321Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:27.5249325Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:27.5748501Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:27.5749609Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:27.5954720Z PASSED [ 36%]
2022-05-18T04:27:27.7591567Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_gru_trilayer_forward_with_initial_state_without_sequence_lengths_with_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:27.7823125Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:27.7954438Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:27.8325738Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:27.8514139Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:27.8622497Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:28.0261327Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:28.0492988Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:28.0597606Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:28.0976393Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:28.1165076Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:28.1273163Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:28.1343934Z PASSED [ 36%]
2022-05-18T04:27:28.2980032Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_gru_trilayer_forward_with_initial_state_without_sequence_lengths_without_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:28.3209735Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:28.3342566Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:28.3717286Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:28.3907429Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:28.4014442Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:28.5656085Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:28.5885515Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:28.5995009Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:28.6369570Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:28.6557390Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:28.6664123Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:28.6736380Z PASSED [ 37%]
2022-05-18T04:27:28.8362888Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_gru_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:28.8363617Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:28.8695633Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:28.8696386Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:28.9322124Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:28.9322995Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:28.9782085Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:28.9782824Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:29.1254993Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:29.1255623Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:29.1587852Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:29.1588761Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:29.2185509Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:29.2186418Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:29.2659450Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:29.2660073Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:29.2815006Z PASSED [ 37%]
2022-05-18T04:27:29.4414140Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_gru_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:29.4415046Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:29.4747251Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:29.4747791Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:29.5372373Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:29.5372917Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:29.5838712Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:29.5839245Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:29.7293307Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:29.7293850Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:29.7631051Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:29.7631570Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:29.8228586Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:29.8229144Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:29.8696855Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:29.8697378Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:29.8852306Z PASSED [ 37%]
2022-05-18T04:27:30.0490320Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_gru_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:30.0491042Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:30.0825212Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:30.0825736Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:30.1448872Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:30.1449391Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:30.1909334Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:30.1909854Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:30.3379571Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:30.3380174Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:30.3711986Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:30.3712704Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:30.4304172Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:30.4304704Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:30.4764301Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:30.4764856Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:30.4913310Z PASSED [ 37%]
2022-05-18T04:27:30.6496980Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_gru_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:30.6497700Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:30.6829309Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:30.6829850Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:30.7442469Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:30.7442986Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:30.7905222Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:30.7905748Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:30.9340842Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:30.9341394Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:30.9672504Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:30.9673029Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:31.0259326Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:31.0260080Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:31.0720621Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:31.0721142Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:31.0869730Z PASSED [ 37%]
2022-05-18T04:27:31.2333621Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_gru_unilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:31.2490312Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:31.2583843Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:31.3210351Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:31.3329257Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:31.3401481Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:31.4847036Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:31.5004416Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:31.5076937Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:31.5704315Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:31.5820358Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:31.5891363Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:31.5944221Z PASSED [ 37%]
2022-05-18T04:27:31.7399254Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_gru_unilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:31.7556717Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:31.7657080Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:31.8283340Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:31.8402133Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:31.8473889Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:31.9920263Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:32.0077369Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:32.0150443Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:32.0777888Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:32.0894281Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:32.0964942Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:32.1018957Z PASSED [ 37%]
2022-05-18T04:27:32.2380182Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_gru_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:32.2380972Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:32.2579878Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:32.2580453Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:32.3177521Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:32.3178074Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:32.3610444Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:32.3610987Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:32.5010577Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:32.5011349Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:32.5210650Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:32.5211210Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:32.5782893Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:32.5783435Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:32.6215747Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:32.6216554Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:32.6349306Z PASSED [ 37%]
2022-05-18T04:27:32.7683486Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_gru_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:32.7684200Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:32.7883211Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:32.7883910Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:32.8484776Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:32.8485314Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:32.8919874Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:32.8920414Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:33.0304515Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:33.0305053Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:33.0505026Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:33.0505550Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:33.1079706Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:33.1080244Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:33.1514524Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:33.1515093Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:33.1651054Z PASSED [ 38%]
2022-05-18T04:27:33.3024343Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_gru_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:33.3025066Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:33.3226019Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:33.3226537Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:33.3823816Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:33.3824370Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:33.4258062Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:33.4258592Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:33.5651647Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:33.5652186Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:33.5852181Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:33.5852708Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:33.6425160Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:33.6425927Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:33.6859761Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:33.6860513Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:33.6989970Z PASSED [ 38%]
2022-05-18T04:27:33.8326972Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_gru_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:33.8327666Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:33.8526299Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:33.8527019Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:33.9118392Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:33.9118924Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:33.9552866Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:33.9553410Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:34.0930478Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:34.0931017Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:34.1130447Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:34.1130966Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:34.1696723Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:34.1697233Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:34.2129769Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:34.2130287Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:34.2257259Z PASSED [ 38%]
2022-05-18T04:27:34.3801659Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_gru_unilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:34.3958501Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:34.4057139Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:34.4389478Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:34.4504670Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:34.4570004Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:34.6096492Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:34.6253766Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:34.6322232Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:34.6657947Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:34.6774834Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:34.6840412Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:34.6886830Z PASSED [ 38%]
2022-05-18T04:27:34.8440805Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_gru_unilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:34.8597278Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:34.8701265Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:34.9034543Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:34.9149870Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:34.9215634Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:35.0748294Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:35.0906546Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:35.0975382Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:35.1311121Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:35.1427587Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:35.1493640Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:35.1536482Z PASSED [ 38%]
2022-05-18T04:27:35.3014994Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_gru_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:35.3015725Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:35.3290001Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:35.3290663Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:35.3850554Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:35.3851352Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:35.4254674Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:35.4255459Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:35.5547639Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:35.5548297Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:35.5823989Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:35.5824748Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:35.6361117Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:35.6361999Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:35.6769796Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:35.6770508Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:35.6886491Z PASSED [ 38%]
2022-05-18T04:27:35.8340460Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_gru_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:35.8341781Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:35.8617235Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:35.8618232Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:35.9180588Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:35.9181596Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:35.9586136Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:35.9586938Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:36.0846495Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:36.0847049Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:36.1123053Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:36.1123849Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:36.1658605Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:36.2062575Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:36.2063310Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:36.2063824Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:36.2168995Z PASSED [ 38%]
2022-05-18T04:27:36.3642677Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_gru_unilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:36.3643359Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:36.3919416Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:36.3920108Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:36.4478048Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:36.4478584Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:36.4883121Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:36.4883764Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:36.6170214Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:36.6170792Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:36.6449906Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:36.6450459Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:36.6980211Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:36.6980751Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:36.7384567Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:36.7385239Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:36.7485400Z PASSED [ 38%]
2022-05-18T04:27:36.8931267Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_gru_unilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:36.8932179Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:36.9207057Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:36.9207763Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:36.9762539Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:36.9763230Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:37.0169294Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:37.0170099Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:37.1423891Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:37.1424446Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:37.1700503Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:37.1701048Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:37.2229016Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:37.2229552Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:37.2633783Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:37.2634319Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:37.2735910Z PASSED [ 39%]
2022-05-18T04:27:37.4052246Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_gru_unilayer_forward_no_initial_state_without_sequence_lengths_with_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:37.4145657Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:37.4209091Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:37.4810152Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:37.4869158Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:37.4907235Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:37.6200461Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:37.6292546Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:37.6334721Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:37.6936914Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:37.6994505Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:37.7031264Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:37.7079843Z PASSED [ 39%]
2022-05-18T04:27:37.8391675Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_gru_unilayer_forward_no_initial_state_without_sequence_lengths_without_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:37.8483689Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:37.8547543Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:37.9150837Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:37.9208463Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:37.9246334Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:38.0546098Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:38.0638459Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:38.0681157Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:38.1285893Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:38.1343376Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:38.1381154Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:38.1429845Z PASSED [ 39%]
2022-05-18T04:27:38.2696148Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_gru_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:38.2696838Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:38.2838611Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:38.2839396Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:38.3381939Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:38.3382930Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:38.3763144Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:38.3764043Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:38.5010788Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:38.5011809Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:38.5154023Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:38.5154594Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:38.5668028Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:38.5668589Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:38.6046731Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:38.6047285Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:38.6138521Z PASSED [ 39%]
2022-05-18T04:27:38.7363648Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_gru_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:38.7364632Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:38.7505395Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:38.7506107Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:38.8049671Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:38.8050444Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:38.8428838Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:38.8429394Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:38.9651066Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:38.9651697Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:38.9792554Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:38.9793288Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:39.0310963Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:39.0311652Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:39.0689724Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:39.0690486Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:39.0785770Z PASSED [ 39%]
2022-05-18T04:27:39.2032850Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_gru_unilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:39.2033562Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:39.2174194Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:39.2175256Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:39.2710637Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:39.2711279Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:39.3093631Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:39.3094323Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:39.4337397Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:39.4338330Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:39.4483875Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:39.4484592Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:39.4992088Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:39.4992784Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:39.5374999Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:39.5375661Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:39.5461723Z PASSED [ 39%]
2022-05-18T04:27:39.6689946Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_gru_unilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:39.6690668Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:39.6835393Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:39.6835921Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:39.7374708Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:39.7375243Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:39.7756743Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:39.7757275Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:39.8986783Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:39.8987313Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:39.9129382Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:39.9130113Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:39.9638846Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:39.9639378Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:40.0018080Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:40.0018609Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:40.0104533Z PASSED [ 39%]
2022-05-18T04:27:40.1516455Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_gru_unilayer_forward_with_initial_state_without_sequence_lengths_with_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:40.1608999Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:40.1677668Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:40.1992889Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:40.2050429Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:40.2082492Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:40.3482068Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:40.3574465Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:40.3614146Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:40.3929398Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:40.3986665Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:40.4019465Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:40.4058769Z PASSED [ 39%]
2022-05-18T04:27:40.5470330Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_gru_unilayer_forward_with_initial_state_without_sequence_lengths_without_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:40.5563533Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:40.5631405Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:40.5946083Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:40.6002836Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:40.6035691Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:40.7417666Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:40.7510216Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:40.7549178Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:40.7862977Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:40.7920256Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:40.7953018Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:27:40.7991242Z PASSED [ 40%]
2022-05-18T04:27:40.8805494Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_gt PASSED [ 40%]
2022-05-18T04:27:40.9048669Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_gt_primitive PASSED [ 40%]
2022-05-18T04:27:40.9574394Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_gt_scalar PASSED [ 40%]
2022-05-18T04:27:40.9912492Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_hann_window_default_values PASSED [ 40%]
2022-05-18T04:27:41.0630592Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_hann_window_not_periodic PASSED [ 40%]
2022-05-18T04:27:41.1333418Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_hann_window_periodic PASSED [ 40%]
2022-05-18T04:27:41.2186773Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_hardshrink PASSED [ 40%]
2022-05-18T04:27:41.2759644Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_hardsigmoid PASSED [ 40%]
2022-05-18T04:27:41.3327750Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_hardswish PASSED [ 41%]
2022-05-18T04:27:41.3471192Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_hardswish_script PASSED [ 41%]
2022-05-18T04:27:41.3855164Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_hardtanh PASSED [ 41%]
2022-05-18T04:27:41.4069369Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_hardtanh_script_with_default_values PASSED [ 41%]
2022-05-18T04:27:41.8228537Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_heatmaps_to_keypoints PASSED [ 41%]
2022-05-18T04:27:42.4570270Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_if_fold PASSED [ 41%]
2022-05-18T04:27:42.4811069Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_if_list PASSED [ 41%]
2022-05-18T04:27:42.5157825Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_if_transpose PASSED [ 41%]
2022-05-18T04:27:42.5742009Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_if_view PASSED [ 42%]
2022-05-18T04:27:42.7914548Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_im2col PASSED [ 42%]
2022-05-18T04:27:42.8239238Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_index_1d PASSED [ 42%]
2022-05-18T04:27:42.8852468Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_index_2d_1dimslice PASSED [ 42%]
2022-05-18T04:27:42.9494036Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_index_2d_neg_slice PASSED [ 42%]
2022-05-18T04:27:43.0035387Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_index_2d_sliceint PASSED [ 42%]
2022-05-18T04:27:43.0126167Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_index_add_dim_size_differ Warning: ONNX Preprocess - Removing mutation from node aten::index_add_ on block input: 'x.1'. This changes graph semantics.
2022-05-18T04:27:43.0379066Z Warning: ONNX Preprocess - Removing mutation from node aten::index_add_ on block input: '0'. This changes graph semantics.
2022-05-18T04:27:43.0635377Z PASSED [ 42%]
2022-05-18T04:27:43.0729855Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_index_add_dynamic_axes Warning: ONNX Preprocess - Removing mutation from node aten::index_add_ on block input: 'x.1'. This changes graph semantics.
2022-05-18T04:27:43.0995017Z Warning: ONNX Preprocess - Removing mutation from node aten::index_add_ on block input: '0'. This changes graph semantics.
2022-05-18T04:27:43.1264401Z PASSED [ 42%]
2022-05-18T04:27:43.1375739Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_index_add_if Warning: ONNX Preprocess - Removing mutation from node aten::index_add_ on block input: 'x.1'. This changes graph semantics.
2022-05-18T04:27:43.1376839Z Warning: ONNX Preprocess - Removing mutation from node aten::index_add_ on block input: 'x.1'. This changes graph semantics.
2022-05-18T04:27:43.1662794Z PASSED [ 43%]
2022-05-18T04:27:43.1763890Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_index_add_in_loop Warning: ONNX Preprocess - Removing mutation from node aten::index_add_ on block input: 'x.1'. This changes graph semantics.
2022-05-18T04:27:43.2240871Z Warning: ONNX Preprocess - Removing mutation from node aten::index_add_ on block input: '0'. This changes graph semantics.
2022-05-18T04:27:43.2867462Z PASSED [ 43%]
2022-05-18T04:27:43.2961421Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_index_add_normal Warning: ONNX Preprocess - Removing mutation from node aten::index_add_ on block input: 'x.1'. This changes graph semantics.
2022-05-18T04:27:43.3236352Z Warning: ONNX Preprocess - Removing mutation from node aten::index_add_ on block input: '0'. This changes graph semantics.
2022-05-18T04:27:43.3548151Z Warning: ONNX Preprocess - Removing mutation from node aten::index_add_ on block input: 'x.1'. This changes graph semantics.
2022-05-18T04:27:43.3789493Z Warning: ONNX Preprocess - Removing mutation from node aten::index_add_ on block input: '0'. This changes graph semantics.
2022-05-18T04:27:43.4103512Z Warning: ONNX Preprocess - Removing mutation from node aten::index_add_ on block input: 'x.1'. This changes graph semantics.
2022-05-18T04:27:43.4370961Z Warning: ONNX Preprocess - Removing mutation from node aten::index_add_ on block input: '0'. This changes graph semantics.
2022-05-18T04:27:43.4624804Z PASSED [ 43%]
2022-05-18T04:27:43.5125457Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_index_copy PASSED [ 43%]
2022-05-18T04:27:43.5662336Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_index_fill PASSED [ 43%]
2022-05-18T04:27:43.6368891Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_index_mask PASSED [ 43%]
2022-05-18T04:27:43.6793303Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_index_mask_nd PASSED [ 43%]
2022-05-18T04:27:43.7297140Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_index_put PASSED [ 43%]
2022-05-18T04:27:43.7807435Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_index_put_accumulate PASSED [ 44%]
2022-05-18T04:27:44.2208410Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_index_put_ellipsis PASSED [ 44%]
2022-05-18T04:27:45.2659955Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_index_put_if PASSED [ 44%]
2022-05-18T04:27:47.1460341Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_index_put_if_2 PASSED [ 44%]
2022-05-18T04:27:47.6509627Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_index_put_if_3 PASSED [ 44%]
2022-05-18T04:27:48.3457556Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_index_put_if_4 PASSED [ 44%]
2022-05-18T04:27:49.0280522Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_index_put_if_5 PASSED [ 44%]
2022-05-18T04:27:49.8952231Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_index_put_inplace_ops PASSED [ 44%]
2022-05-18T04:27:54.5964929Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_index_put_loop PASSED [ 45%]
2022-05-18T04:27:54.6083558Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_index_put_singular Warning: ONNX Preprocess - Removing mutation from node aten::index_put_ on block input: 'mask.1'. This changes graph semantics.
2022-05-18T04:27:54.6473382Z Warning: ONNX Preprocess - Removing mutation from node aten::index_put_ on block input: '0'. This changes graph semantics.
2022-05-18T04:27:54.6847351Z Warning: ONNX Preprocess - Removing mutation from node aten::index_put_ on block input: 'mask.1'. This changes graph semantics.
2022-05-18T04:27:54.7162345Z Warning: ONNX Preprocess - Removing mutation from node aten::index_put_ on block input: '0'. This changes graph semantics.
2022-05-18T04:27:54.7448398Z PASSED [ 45%]
2022-05-18T04:27:54.7575433Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_index_put_slice_index Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'update.1'. This changes graph semantics.
2022-05-18T04:27:55.0974078Z Warning: ONNX Preprocess - Removing mutation from node aten::index_put_ on block input: 'x.1'. This changes graph semantics.
2022-05-18T04:27:55.0974849Z Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'update.1'. This changes graph semantics.
2022-05-18T04:27:55.1643311Z Warning: ONNX Preprocess - Removing mutation from node aten::index_put_ on block input: '0'. This changes graph semantics.
2022-05-18T04:27:55.2661436Z Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'update.1'. This changes graph semantics.
2022-05-18T04:27:55.4827337Z Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'update.1'. This changes graph semantics.
2022-05-18T04:27:55.6467214Z Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'update.1'. This changes graph semantics.
2022-05-18T04:27:56.9931002Z PASSED [ 45%]
2022-05-18T04:27:57.1186995Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_index_put_to_masked_fill PASSED [ 45%]
2022-05-18T04:27:57.1977769Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_index_put_to_masked_scatter PASSED [ 45%]
2022-05-18T04:27:57.2333600Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_index_select_constant_scaler_index PASSED [ 45%]
2022-05-18T04:27:57.2778248Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_index_select_scaler_index PASSED [ 45%]
2022-05-18T04:27:57.2938727Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_initializer_sequence PASSED [ 45%]
2022-05-18T04:27:57.3465049Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_initializer_sequence_script_model PASSED [ 46%]
2022-05-18T04:27:57.3552025Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_inplace_arithmetic Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'x.1'. This changes graph semantics.
2022-05-18T04:27:57.3552692Z Warning: ONNX Preprocess - Removing mutation from node aten::mul_ on block input: 'y.1'. This changes graph semantics.
2022-05-18T04:27:57.3834119Z PASSED [ 46%]
2022-05-18T04:27:57.3937042Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_inplace_arithmetic_half Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'x.1'. This changes graph semantics.
2022-05-18T04:27:57.4117641Z Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: '0'. This changes graph semantics.
2022-05-18T04:27:57.4354236Z Warning: ONNX Preprocess - Removing mutation from node aten::mul_ on block input: 'x.1'. This changes graph semantics.
2022-05-18T04:27:57.4500656Z Warning: ONNX Preprocess - Removing mutation from node aten::mul_ on block input: '0'. This changes graph semantics.
2022-05-18T04:27:57.4632087Z PASSED [ 46%]
2022-05-18T04:27:57.7682251Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_inplace_attr_copy_with_loop PASSED [ 46%]
2022-05-18T04:27:57.8547979Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_inplace_attr_with_loop PASSED [ 46%]
2022-05-18T04:27:57.8651215Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_inplace_fill Warning: ONNX Preprocess - Removing mutation from node aten::fill_ on block input: 'x.1'. This changes graph semantics.
2022-05-18T04:27:57.8930316Z Warning: ONNX Preprocess - Removing mutation from node aten::fill_ on block input: '0'. This changes graph semantics.
2022-05-18T04:27:57.9269215Z Warning: ONNX Preprocess - Removing mutation from node aten::fill_ on block input: 'x.1'. This changes graph semantics.
2022-05-18T04:27:57.9541477Z Warning: ONNX Preprocess - Removing mutation from node aten::fill_ on block input: '0'. This changes graph semantics.
2022-05-18T04:27:57.9803013Z PASSED [ 46%]
2022-05-18T04:27:57.9897749Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_inplace_list Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'x.1'. This changes graph semantics.
2022-05-18T04:27:57.9898394Z Warning: ONNX Preprocess - Removing mutation from node aten::fill_ on block input: 'y.1'. This changes graph semantics.
2022-05-18T04:27:58.0409393Z Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'x.1'. This changes graph semantics.
2022-05-18T04:27:58.0410186Z Warning: ONNX Preprocess - Removing mutation from node aten::fill_ on block input: 'y.1'. This changes graph semantics.
2022-05-18T04:27:58.0871511Z PASSED [ 46%]
2022-05-18T04:27:58.3202809Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_inplace_sequence_with_loop PASSED [ 46%]
2022-05-18T04:27:58.3842052Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_inplace_with_loop PASSED [ 47%]
2022-05-18T04:27:58.7181231Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_inplace_with_loop_2 PASSED [ 47%]
2022-05-18T04:27:58.7285114Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_inplace_zero Warning: ONNX Preprocess - Removing mutation from node aten::zero_ on block input: 'x.1'. This changes graph semantics.
2022-05-18T04:27:58.7534732Z Warning: ONNX Preprocess - Removing mutation from node aten::zero_ on block input: '0'. This changes graph semantics.
2022-05-18T04:27:58.7842113Z Warning: ONNX Preprocess - Removing mutation from node aten::zero_ on block input: 'x.1'. This changes graph semantics.
2022-05-18T04:27:58.8079044Z Warning: ONNX Preprocess - Removing mutation from node aten::zero_ on block input: '0'. This changes graph semantics.
2022-05-18T04:27:58.8314052Z PASSED [ 47%]
2022-05-18T04:27:59.0647114Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_input_mask_model Warning: ONNX Preprocess - Removing mutation from node aten::index_put_ on block input: 'y.1'. This changes graph semantics.
2022-05-18T04:27:59.1694948Z Warning: ONNX Preprocess - Removing mutation from node aten::index_put_ on block input: '2'. This changes graph semantics.
2022-05-18T04:27:59.2346964Z PASSED [ 47%]
2022-05-18T04:27:59.4633085Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_instancenorm1d_norunningstats PASSED [ 47%]
2022-05-18T04:27:59.6475375Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_instancenorm1d_runningstats PASSED [ 47%]
2022-05-18T04:27:59.9112685Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_instancenorm2d_norunningstats PASSED [ 47%]
2022-05-18T04:28:00.1298694Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_instancenorm2d_runningstats PASSED [ 47%]
2022-05-18T04:28:07.8430926Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_instancenorm3d_norunningstats PASSED [ 48%]
2022-05-18T04:28:15.7907454Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_instancenorm3d_runningstats PASSED [ 48%]
2022-05-18T04:28:16.8472029Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_instancenorm_eval_mode_train_layer PASSED [ 48%]
2022-05-18T04:28:17.6371476Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_instancenorm_training PASSED [ 48%]
2022-05-18T04:28:18.4261746Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_instancenorm_training_mode_fix_layer PASSED [ 48%]
2022-05-18T04:28:18.4415599Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_interpolate_adaptive_pooling_error WARNING: The shape inference of aten::adaptive_avg_pool1d type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:18.4416665Z WARNING: The shape inference of aten::adaptive_avg_pool1d type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:18.4420338Z WARNING: The shape inference of aten::adaptive_avg_pool1d type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:18.4421378Z WARNING: The shape inference of aten::adaptive_avg_pool1d type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:18.4990184Z PASSED [ 48%]
2022-05-18T04:28:18.5410952Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_interpolate_downsample WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:18.5412255Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:18.5445946Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:18.5446964Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:18.5457679Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:18.5458819Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:18.5462987Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:18.5463804Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:18.5499590Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:18.5500513Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:18.5504086Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:18.5505015Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:18.5649722Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:18.5650671Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:18.5736034Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:18.5736845Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:18.5745053Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:18.5746278Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:18.5750148Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:18.5751068Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:18.5757287Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:18.5758208Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:18.5761981Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:18.5762920Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:18.6175070Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:18.6176008Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:18.6210081Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:18.6210953Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:18.6221082Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:18.6221965Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:18.6225421Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:18.6226260Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:18.6259695Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:18.6260546Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:18.6263691Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:18.6264539Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:18.6401993Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:18.6403048Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:18.6487456Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:18.6488307Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:18.6495545Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:18.6496367Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:18.6499695Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:18.6500213Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:18.6505410Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:18.6505993Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:18.6509261Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:18.6509839Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:18.6920789Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:18.6955417Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:18.6963183Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:18.6966907Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:18.7000541Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:18.7001751Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:18.7128052Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:18.7211226Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:18.7216853Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:18.7219081Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:18.7222608Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:18.7223842Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:18.7623340Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:18.7623966Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:18.7656844Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:18.7657534Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:18.7667686Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:18.7668372Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:18.7671299Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:18.7671801Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:18.7706444Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:18.7706943Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:18.7710002Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:18.7710682Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:18.7852662Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:18.7853548Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:18.7939106Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:18.7939700Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:18.7947057Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:18.7947712Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:18.7951099Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:18.7951611Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:18.7957663Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:18.7958280Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:18.7961386Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:18.7961935Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:18.8369823Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:18.8370333Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:18.8404356Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:18.8404888Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:18.8415719Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:18.8416203Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:18.8420095Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:18.8420762Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:18.8455451Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:18.8455939Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:18.8459317Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:18.8459888Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:18.8601710Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:18.8602827Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:18.8687652Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:18.8688508Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:18.8696066Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:18.8697015Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:18.8701009Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:18.8701685Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:18.8706785Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:18.8707492Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:18.8710149Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:18.8710775Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:18.9482419Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:18.9515820Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:18.9523103Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:18.9526358Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:18.9560206Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:18.9561917Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:18.9691941Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:18.9775551Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:18.9781650Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:18.9783349Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:18.9787220Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:18.9788234Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.0190300Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.0191182Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.0225739Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.0226646Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.0235315Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.0236174Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.0239498Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.0240328Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.0276412Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.0277275Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.0279892Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.0280933Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.0434982Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.0435889Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.0520533Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.0521393Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.0528751Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.0529612Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.0532915Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.0533750Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.0539672Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.0540560Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.0543775Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.0544612Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.0963187Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.0964068Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.0997209Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.0998061Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.1007693Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.1008554Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.1012041Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.1012906Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.1048066Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.1048895Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.1052127Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.1052974Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.1207874Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.1208743Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.1293179Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.1294018Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.1301663Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.1302629Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.1306491Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.1307440Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.1314250Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.1315187Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.1318413Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.1319377Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.1726857Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.1761347Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.1769102Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.1773014Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.1807414Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.1809697Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.1942511Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.2026190Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.2033056Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.2035054Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.2038805Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.2040787Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.2443136Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.2444031Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.2480809Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.2481682Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.2491704Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.2492591Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.2495722Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.2496579Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.2527323Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.2528169Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.2531289Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.2532122Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.2704566Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.2705425Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.2820853Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.2821751Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.2829711Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.2830669Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.2834908Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.2835869Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.2842237Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.2843168Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.2846820Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.2847772Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.3282815Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.3283735Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.3318440Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.3319293Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.3329311Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.3330441Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.3334386Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.3335573Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.3366416Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.3367369Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.3370991Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.3372108Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.3543197Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.3544093Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.3655712Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.3656245Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.3664651Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.3665181Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.3669142Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.3669690Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.3675474Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.3676041Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.3679032Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.3679523Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.4085068Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.4085603Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.4119681Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.4120183Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.4130152Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.4130645Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.4134115Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.4134843Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.4165974Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.4166469Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.4169520Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.4170000Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.4343000Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.4343683Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.4454639Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.4455141Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.4462703Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.4463184Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.4466930Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.4467424Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.4473338Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.4474196Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.4476709Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.4477438Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.4879399Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.4913365Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.4920958Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.4924608Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.4954287Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.4955460Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.5116083Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.5225829Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.5231300Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.5233572Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.5237003Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.5238264Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.5626449Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.5660089Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.5667504Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.5670707Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.5700519Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.5701635Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.5863934Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.5974073Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.5979996Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.5982176Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.5986061Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.5987302Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.6395715Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.6396316Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.6429725Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.6430260Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.6440852Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.6441350Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.6444812Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.6445306Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.6474542Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.6475138Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.6478392Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.6478967Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.6654107Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.6655006Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.6765992Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.6766520Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.6774882Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.6775382Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.6779035Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.6779664Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.6785113Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.6785663Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.6788812Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.6789362Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.7225668Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.7226627Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.7261017Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.7261898Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.7272120Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.7273278Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.7277027Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.7278027Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.7306595Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.7307745Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.7311396Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.7312349Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.7486258Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.7487172Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.7599228Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.7600223Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.7608372Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.7609317Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.7613308Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.7614296Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.7620564Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.7621508Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.7625000Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.7625967Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.8035514Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.8036463Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.8070644Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.8071528Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.8081949Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.8083098Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.8086751Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.8087576Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.8116076Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.8117032Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.8120650Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.8121616Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.8296137Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.8297177Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.8409150Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.8410003Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.8417747Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.8418701Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.8422510Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.8423447Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.8430344Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.8431263Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.8433824Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.8434759Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.8837209Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.8871399Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.8879609Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.8883668Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.8911566Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.8912715Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.9075281Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.9184603Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.9190355Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.9192465Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.9196030Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.9196919Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.9585814Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.9620026Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.9627284Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.9630609Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.9656816Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.9657815Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.9819244Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.9928819Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.9933895Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.9936241Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.9939924Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.9940887Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:19.9976678Z PASSED [ 48%]
2022-05-18T04:28:20.0279070Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_interpolate_function_substitution WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:20.0288135Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:20.0315532Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:20.0605336Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:20.0614756Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:20.0639199Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:20.0830977Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:20.0839772Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:20.0845673Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:20.0873931Z PASSED [ 48%]
2022-05-18T04:28:20.1288874Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_interpolate_no_shape WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:20.1289672Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:20.1409424Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:20.1410174Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:20.1419060Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:20.1419957Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:20.1426546Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:20.1427273Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:20.1460884Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:20.1461601Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:20.1468609Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:20.1469417Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:20.1824176Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:20.1824851Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:20.1947246Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:20.1947785Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:20.1956734Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:20.1957287Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:20.1963334Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:20.1963821Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:20.1975371Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:20.1975871Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:20.1978852Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:20.1979464Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:20.2028550Z PASSED [ 49%]
2022-05-18T04:28:20.2421708Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_interpolate_upsample WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:20.2422555Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:20.2458482Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:20.2459062Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:20.2468695Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:20.2469197Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:20.2472402Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:20.2472889Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:20.2505453Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:20.2505946Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:20.2508544Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:20.2509034Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:20.2645788Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:20.2646297Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:20.2730509Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:20.2731010Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:20.2737911Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:20.2738397Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:20.2741719Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:20.2742223Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:20.2747684Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:20.2748220Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:20.2750690Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:20.2751233Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:20.3154728Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:20.3155265Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:20.3188553Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:20.3189059Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:20.3198744Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:20.3199216Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:20.3202580Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:20.3203151Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:20.3235621Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:20.3236104Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:20.3239604Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:20.3240211Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:20.3380161Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:20.3380793Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:20.3468625Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:20.3469328Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:20.3475968Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:20.3476688Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:20.3480087Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:20.3480809Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:20.3486456Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:20.3487264Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:20.3490313Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:20.3491024Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:20.3886860Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:20.3920621Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:20.3927938Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:20.3931517Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:20.3964535Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:20.3965689Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:20.4091178Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:20.4174186Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:20.4179954Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:20.4182317Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:20.4186116Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:20.4187063Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:20.4580558Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:20.4581258Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:20.4614709Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:20.4615441Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:20.4625921Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:20.4626711Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:20.4629843Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:20.4630527Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:20.4664971Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:20.4665605Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:20.4668577Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:20.4669310Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:20.4809678Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:20.4810483Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:20.4895012Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:20.4895523Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:20.4902760Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:20.4903288Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:20.4906428Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:20.4907076Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:20.4912428Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:20.4912919Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:20.4915793Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:20.4916268Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:20.5318740Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:20.5319638Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:20.5352759Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:20.5353474Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:20.5362852Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:20.5363557Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:20.5366617Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:20.5367302Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:20.5401618Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:20.5402329Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:20.5405000Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:20.5405707Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:20.5546143Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:20.5546860Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:20.5630988Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:20.5631864Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:20.5638791Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:20.5639263Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:20.5642611Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:20.5643108Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:20.5648757Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:20.5649353Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:20.5653034Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:20.5653522Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:20.6045678Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:20.6079780Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:20.6086960Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:20.6090355Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:20.6123463Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:20.6124698Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:20.6251845Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:20.6335723Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:20.6341875Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:20.6344392Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:20.6348021Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:20.6349240Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:20.6752735Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:20.6762763Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:20.6786779Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:20.6787630Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:20.6797768Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:20.6798837Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:20.6802052Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:20.6802894Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:20.6839694Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:20.6840545Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:20.6843334Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:20.6844174Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:20.7007036Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:20.7008002Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:20.7092034Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:20.7092915Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:20.7100468Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:20.7101321Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:20.7104718Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:20.7105782Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:20.7110983Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:20.7111829Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:20.7114756Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:20.7115582Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:20.7541358Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:20.7542233Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:20.7575001Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:20.7575856Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:20.7586927Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:20.7587769Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:20.7591327Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:20.7592168Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:20.7629890Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:20.7630782Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:20.7633622Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:20.7634483Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:20.7795808Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:20.7796682Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:20.7882092Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:20.7883376Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:20.7890884Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:20.7891820Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:20.7896076Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:20.7896960Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:20.7902223Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:20.7903063Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:20.7905815Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:20.7906661Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:20.8325601Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:20.8359577Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:20.8367917Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:20.8372204Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:20.8407071Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:20.8408215Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:20.8544681Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:20.8628905Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:20.8634972Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:20.8636949Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:20.8642354Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:20.8643334Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:20.9050170Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:20.9051098Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:20.9085469Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:20.9086343Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:20.9096785Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:20.9097672Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:20.9100645Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:20.9101487Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:20.9132552Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:20.9133435Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:20.9136444Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:20.9137295Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:20.9310493Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:20.9311371Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:20.9426593Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:20.9427455Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:20.9434940Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:20.9435762Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:20.9439896Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:20.9440745Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:20.9446317Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:20.9447167Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:20.9450018Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:20.9450850Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:20.9888710Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:20.9889229Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:20.9922738Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:20.9923238Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:20.9933219Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:20.9933754Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:20.9937517Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:20.9938007Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:20.9969560Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:20.9970084Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:20.9973032Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:20.9973593Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:21.0146446Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:21.0146968Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:21.0258670Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:21.0259227Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:21.0267554Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:21.0268055Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:21.0271368Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:21.0271881Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:21.0277393Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:21.0277892Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:21.0280609Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:21.0281088Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:21.0691371Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:21.0691885Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:21.0727822Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:21.0728319Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:21.0738654Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:21.0739265Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:21.0742476Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:21.0743202Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:21.0773826Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:21.0774673Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:21.0777523Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:21.0778195Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:21.0951180Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:21.0951692Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:21.1063149Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:21.1063917Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:21.1071516Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:21.1072223Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:21.1075289Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:21.1081217Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:21.1081899Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:21.1082383Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:21.1084659Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:21.1085351Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:21.1483976Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:21.1517790Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:21.1524772Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:21.1528150Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:21.1557791Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:21.1558987Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:21.1719085Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:21.1829713Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:21.1835228Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:21.1837664Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:21.1841412Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:21.1842988Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:21.2229786Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:21.2263808Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:21.2271012Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:21.2274225Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:21.2303609Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:21.2304640Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:21.2464988Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:21.2574793Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:21.2580601Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:21.2582692Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:21.2586150Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:21.2587257Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:21.2980664Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:21.2981422Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:21.3014632Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:21.3015360Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:21.3025091Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:21.3025748Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:21.3028252Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:21.3029115Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:21.3056992Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:21.3057688Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:21.3060467Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:21.3061275Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:21.3235922Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:21.3236563Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:21.3347995Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:21.3348714Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:21.3355592Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:21.3356296Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:21.3359336Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:21.3360041Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:21.3365134Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:21.3365942Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:21.3368453Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:21.3369156Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:21.3802287Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:21.3802978Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:21.3839000Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:21.3839715Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:21.3848800Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:21.3849300Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:21.3852757Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:21.3853261Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:21.3881048Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:21.3881582Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:21.3884610Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:21.3885172Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:21.4060129Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:21.4060653Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:21.4171490Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:21.4171995Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:21.4179274Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:21.4179967Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:21.4184043Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:21.4184567Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:21.4190217Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:21.4190704Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:21.4193856Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:21.4194348Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:21.4599377Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:21.4599900Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:21.4636754Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:21.4637301Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:21.4647860Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:21.4648355Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:21.4651707Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:21.4652210Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:21.4679549Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:21.4680078Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:21.4683531Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:21.4684008Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:21.4859870Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:21.4860591Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:21.4972109Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:21.4972610Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:21.4981377Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:21.4981869Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:21.4985456Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:21.4985951Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:21.4992024Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:21.4992537Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:21.4995302Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:21.4995818Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:21.5392307Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:21.5426442Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:21.5434039Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:21.5437613Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:21.5464458Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:21.5465519Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:21.5626627Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:21.5736545Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:21.5742840Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:21.5744667Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:21.5748386Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:21.5749353Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:21.6134373Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:21.6169214Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:21.6177671Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:21.6181695Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:21.6208101Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:21.6209100Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:21.6369251Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:21.6479741Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:21.6486038Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:21.6488853Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:21.6493487Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:21.6494719Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:28:21.6531493Z PASSED [ 49%]
2022-05-18T04:28:21.6556426Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_interpolate_upsample_trace SKIPPED [ 49%]
2022-05-18T04:28:21.6797064Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_isfinite PASSED [ 49%]
2022-05-18T04:28:21.7017762Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_isinf PASSED [ 49%]
2022-05-18T04:28:21.7232380Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_isnan PASSED [ 49%]
2022-05-18T04:28:21.7515629Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_item PASSED [ 49%]
2022-05-18T04:28:21.7533322Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_keypoint_rcnn SKIPPED [ 49%]
2022-05-18T04:28:22.4533726Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_kldiv_loss PASSED [ 50%]
2022-05-18T04:28:22.4947014Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_l1_norm PASSED [ 50%]
2022-05-18T04:28:22.5353796Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_l2_norm PASSED [ 50%]
2022-05-18T04:28:59.8030755Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_large_model_with_external_data PASSED [ 50%]
2022-05-18T04:29:24.4023504Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_large_model_with_non_str_file PASSED [ 50%]
2022-05-18T04:29:24.4576262Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_layer_norm PASSED [ 50%]
2022-05-18T04:29:24.5398022Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_le PASSED [ 50%]
2022-05-18T04:29:24.5933623Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_le_scalar PASSED [ 50%]
2022-05-18T04:29:24.6201634Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_len PASSED [ 51%]
2022-05-18T04:29:24.6454391Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_len_list PASSED [ 51%]
2022-05-18T04:29:24.7247096Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_linalg_cross PASSED [ 51%]
2022-05-18T04:29:25.3648265Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_linalg_matrix_norm PASSED [ 51%]
2022-05-18T04:29:26.3801146Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_linalg_norm PASSED [ 51%]
2022-05-18T04:29:27.2193234Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_linalg_vector_norm PASSED [ 51%]
2022-05-18T04:29:27.2630919Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_linalg_vector_norm_zero PASSED [ 51%]
2022-05-18T04:29:27.3433013Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_linear PASSED [ 51%]
2022-05-18T04:29:27.3872803Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_linspace PASSED [ 52%]
2022-05-18T04:29:27.4312447Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_linspace_negative_start PASSED [ 52%]
2022-05-18T04:29:27.5202473Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_list PASSED [ 52%]
2022-05-18T04:29:27.5329591Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_list_append Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'res.11'. This changes graph semantics.
2022-05-18T04:29:27.5695862Z PASSED [ 52%]
2022-05-18T04:29:27.6133097Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_list_append_in_block PASSED [ 52%]
2022-05-18T04:29:27.6706743Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_list_append_in_nested_block PASSED [ 52%]
2022-05-18T04:29:27.6845527Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_list_append_nested Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'res.11'. This changes graph semantics.
2022-05-18T04:29:27.7344893Z PASSED [ 52%]
2022-05-18T04:29:27.8191438Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_list_append_nested_2 PASSED [ 52%]
2022-05-18T04:29:27.8861175Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_list_append_nested_mixed_dtype PASSED [ 53%]
2022-05-18T04:29:27.8987816Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_list_del Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'res.13'. This changes graph semantics.
2022-05-18T04:29:27.9407227Z PASSED [ 53%]
2022-05-18T04:29:28.0180615Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_list_del_in_block PASSED [ 53%]
2022-05-18T04:29:28.0330224Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_list_del_nested Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'res.19'. This changes graph semantics.
2022-05-18T04:29:28.0999984Z PASSED [ 53%]
2022-05-18T04:29:28.1589420Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_list_idx_sum PASSED [ 53%]
2022-05-18T04:29:28.9048594Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_list_pass PASSED [ 53%]
2022-05-18T04:29:28.9177916Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_list_pop Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'res.13'. This changes graph semantics.
2022-05-18T04:29:28.9598061Z PASSED [ 53%]
2022-05-18T04:29:29.0477434Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_list_pop_in_block PASSED [ 53%]
2022-05-18T04:29:29.0629552Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_list_pop_nested Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'res.19'. This changes graph semantics.
2022-05-18T04:29:29.1322756Z PASSED [ 54%]
2022-05-18T04:29:29.1804035Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_list_set PASSED [ 54%]
2022-05-18T04:29:29.2278754Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_list_unpack PASSED [ 54%]
2022-05-18T04:29:29.3674287Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_listunpack PASSED [ 54%]
2022-05-18T04:29:29.3886664Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_log PASSED [ 54%]
2022-05-18T04:29:29.4109318Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_log10 PASSED [ 54%]
2022-05-18T04:29:29.4340253Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_log1p PASSED [ 54%]
2022-05-18T04:29:29.4566958Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_logdet PASSED [ 54%]
2022-05-18T04:29:29.5464453Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_logical_and PASSED [ 55%]
2022-05-18T04:29:29.6359479Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_logical_or PASSED [ 55%]
2022-05-18T04:29:29.7276200Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_logical_xor PASSED [ 55%]
2022-05-18T04:29:29.8867373Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_logsoftmax PASSED [ 55%]
2022-05-18T04:29:30.0921475Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_logsoftmax_dim PASSED [ 55%]
2022-05-18T04:29:30.1275454Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_logsoftmax_dtype PASSED [ 55%]
2022-05-18T04:29:30.1944441Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_loop_dynamic PASSED [ 55%]
2022-05-18T04:29:30.2495093Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_loop_multi_dim PASSED [ 55%]
2022-05-18T04:29:30.3687665Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_loop_nested PASSED [ 56%]
2022-05-18T04:29:30.3817061Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_loop_transpose Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'res.11'. This changes graph semantics.
2022-05-18T04:29:30.4246676Z PASSED [ 56%]
2022-05-18T04:29:30.4414944Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_loop_with_list Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'res4.11'. This changes graph semantics.
2022-05-18T04:29:30.4415845Z Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'res2.11'. This changes graph semantics.
2022-05-18T04:29:30.5631544Z PASSED [ 56%]
2022-05-18T04:29:30.7107712Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_lower_tuple PASSED [ 56%]
2022-05-18T04:29:30.7302324Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_lower_tuple_2 PASSED [ 56%]
2022-05-18T04:29:30.9011241Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_lower_tuple_3 PASSED [ 56%]
2022-05-18T04:29:31.0772033Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_lstm WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:31.0864819Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:31.0944296Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:31.1308849Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:31.1367107Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:31.1399961Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:31.1442249Z PASSED [ 56%]
2022-05-18T04:29:31.1937463Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_lstm_cell WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:31.2027609Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:31.2088845Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:31.3267355Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:31.3290126Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:31.3332334Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:31.3345501Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:31.3380058Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:31.3380779Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:31.4103882Z PASSED [ 56%]
2022-05-18T04:29:31.6239516Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_lstm_constant_folding WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:31.6544952Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:31.6723293Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:31.7152134Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:31.7407839Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:31.7557423Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:31.9597178Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:31.9842539Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:32.0001035Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:32.0431332Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:32.0632106Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:32.0745403Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:32.0832573Z PASSED [ 57%]
2022-05-18T04:29:32.2451775Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_lstm_default_init_state WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:32.2545168Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:32.2620363Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:32.3503900Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:32.3569329Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:32.3611899Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:32.3673631Z PASSED [ 57%]
2022-05-18T04:29:32.5339148Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_lstm_fixed_batch_size WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:32.5432956Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:32.5514009Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:32.6397103Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:32.6456073Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:32.6489141Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:32.6543054Z PASSED [ 57%]
2022-05-18T04:29:32.8320581Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_lstm_no_bias WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:32.8373539Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:32.8420569Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:32.8446041Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:32.8509001Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:32.8509566Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:32.8876108Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:32.8924328Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:32.8940131Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:32.8967248Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:32.8977000Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:32.8977498Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:33.0672274Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:33.0699476Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:33.0737302Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:33.0751274Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:33.0808500Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:33.0809060Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:33.1162170Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:33.1186660Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:33.1195016Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:33.1208119Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:33.1214228Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:33.1215077Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:33.3131610Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:33.3191398Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:33.3261087Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:33.3326388Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:33.3352040Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:33.3384464Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:33.3458141Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:33.3458860Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:33.3465425Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:33.3874239Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:33.3923357Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:33.3987123Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:33.4019842Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:33.4048223Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:33.4084514Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:33.4100542Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:33.4101143Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:33.4107505Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:33.5942736Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:33.5969523Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:33.6006672Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:33.6044512Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:33.6102200Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:33.6115246Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:33.6132970Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:33.6151103Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:33.6220847Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:33.6221371Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:33.6227218Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:33.6233092Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:33.6639557Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:33.6664799Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:33.6699207Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:33.6733343Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:33.6759684Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:33.6773523Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:33.6792944Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:33.6812164Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:33.6826985Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:33.6827522Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:33.6833685Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:33.6839042Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:33.6921064Z PASSED [ 57%]
2022-05-18T04:29:33.8845163Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_lstm_no_hidden WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:33.8942986Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:33.9022309Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:33.9915884Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:33.9982673Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:34.0028597Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:34.0093429Z PASSED [ 57%]
2022-05-18T04:29:34.1764620Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_lstm_post_fix_init_state WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:34.1866151Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:34.1949462Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:34.2833596Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:34.2901351Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:34.2939350Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:34.3005083Z PASSED [ 57%]
2022-05-18T04:29:34.5055176Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_lstm_proj_no_hidden WARNING: The shape inference of aten::lstm type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:34.5056219Z WARNING: The shape inference of aten::lstm type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:34.5057059Z WARNING: The shape inference of aten::lstm type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:34.5101739Z WARNING: The shape inference of aten::lstm type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:34.5102602Z WARNING: The shape inference of aten::lstm type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:34.5103457Z WARNING: The shape inference of aten::lstm type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:34.5126065Z PASSED [ 57%]
2022-05-18T04:29:34.8492930Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_lstm_sequence WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:34.8977600Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:34.9195988Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:34.9258549Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:34.9450531Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:34.9459587Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:35.0620730Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:35.1515797Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:35.1702304Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:35.1786294Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:35.1880500Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:35.1892459Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:35.1987532Z PASSED [ 57%]
2022-05-18T04:29:35.2447570Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_lstm_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:35.2448296Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:35.3238213Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:35.3238782Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:35.4152777Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:35.4153320Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:35.4943030Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:35.4943556Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:35.5439573Z PASSED [ 58%]
2022-05-18T04:29:35.5894493Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_lstm_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:35.5895484Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:35.6685496Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:35.6686022Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:35.7603410Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:35.7603997Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:35.8394819Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:35.8395349Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:35.8889812Z PASSED [ 58%]
2022-05-18T04:29:35.9341672Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_lstm_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:35.9342371Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:36.0128519Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:36.0129038Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:36.1045233Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:36.1045790Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:36.1839515Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:36.1840040Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:36.2331753Z PASSED [ 58%]
2022-05-18T04:29:36.2786340Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_lstm_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:36.2787295Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:36.3577968Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:36.3578881Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:36.4486831Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:36.4487850Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:36.5279872Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:36.5281106Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:36.5773699Z PASSED [ 58%]
2022-05-18T04:29:36.6721776Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_lstm_trilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:36.7141278Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:36.7431792Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:36.8481308Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:36.8896337Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:36.9186247Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:36.9326738Z PASSED [ 58%]
2022-05-18T04:29:37.0273823Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_lstm_trilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:37.0694927Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:37.0986545Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:37.2046101Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:37.2468771Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:37.2758326Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:37.2898879Z PASSED [ 58%]
2022-05-18T04:29:37.3346351Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_lstm_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:37.3347048Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:37.4081195Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:37.4081717Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:37.4903861Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:37.4904404Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:37.5639399Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:37.5639948Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:37.6049003Z PASSED [ 58%]
2022-05-18T04:29:37.6496630Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_lstm_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:37.6497341Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:37.7239371Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:37.7239889Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:37.8066590Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:37.8067122Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:37.8803466Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:37.8804181Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:37.9216084Z PASSED [ 58%]
2022-05-18T04:29:37.9663343Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_lstm_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:37.9664072Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:38.0394842Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:38.0395359Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:38.1210361Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:38.1211158Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:38.1947725Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:38.1948307Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:38.2357584Z PASSED [ 59%]
2022-05-18T04:29:38.2805430Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_lstm_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:38.2806777Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:38.3540856Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:38.3541798Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:38.4358613Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:38.4359633Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:38.5091647Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:38.5092589Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:38.5495565Z PASSED [ 59%]
2022-05-18T04:29:38.5933309Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_lstm_trilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:38.6355753Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:38.6614944Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:38.7110731Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:38.7519004Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:38.7772328Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:38.7867053Z PASSED [ 59%]
2022-05-18T04:29:38.8300364Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_lstm_trilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:38.8710305Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:38.8963485Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:38.9458120Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:38.9870767Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:39.0125193Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:39.0220566Z PASSED [ 59%]
2022-05-18T04:29:39.0623588Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_lstm_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:39.0624293Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:39.1217175Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:39.1217706Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:39.1909364Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:39.1909891Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:39.2504849Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:39.2505769Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:39.2830318Z PASSED [ 59%]
2022-05-18T04:29:39.3232535Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_lstm_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:39.3233235Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:39.3824325Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:39.3825066Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:39.4520180Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:39.4520732Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:39.5118611Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:39.5119145Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:39.5441913Z PASSED [ 59%]
2022-05-18T04:29:39.5842730Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_lstm_trilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:39.5843432Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:39.6438560Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:39.6439094Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:39.7125298Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:39.7125831Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:39.7718131Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:39.7718653Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:39.8037707Z PASSED [ 59%]
2022-05-18T04:29:39.8439673Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_lstm_trilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:39.8440370Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:39.9034038Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:39.9034570Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:39.9719478Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:39.9720250Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:40.0316103Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:40.0316639Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:40.0636353Z PASSED [ 59%]
2022-05-18T04:29:40.1534266Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_lstm_trilayer_forward_no_initial_state_without_sequence_lengths_with_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:40.1744711Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:40.1894805Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:40.2889674Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:40.3099872Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:40.3248397Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:40.3380865Z PASSED [ 60%]
2022-05-18T04:29:40.4273081Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_lstm_trilayer_forward_no_initial_state_without_sequence_lengths_without_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:40.4480640Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:40.4629695Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:40.5618301Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:40.5834089Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:40.5982496Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:40.6112818Z PASSED [ 60%]
2022-05-18T04:29:40.6510973Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_lstm_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:40.6511923Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:40.7059469Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:40.7060063Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:40.7663943Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:40.7664475Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:40.8204467Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:40.8205131Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:40.8444683Z PASSED [ 60%]
2022-05-18T04:29:40.8838489Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_lstm_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:40.8839225Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:40.9378869Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:40.9379491Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:40.9979777Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:40.9980471Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:41.0521675Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:41.0522366Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:41.0763003Z PASSED [ 60%]
2022-05-18T04:29:41.1157842Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_lstm_trilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:41.1158676Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:41.1698914Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:41.1699748Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:41.2293703Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:41.2294246Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:41.2838641Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:41.2839262Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:41.3071729Z PASSED [ 60%]
2022-05-18T04:29:41.3464538Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_lstm_trilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:41.3465267Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:41.4008369Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:41.4008973Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:41.4603891Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:41.4604410Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:41.5143197Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:41.5143728Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:41.5377026Z PASSED [ 60%]
2022-05-18T04:29:41.5758716Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_lstm_trilayer_forward_with_initial_state_without_sequence_lengths_with_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:41.5962736Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:41.6078619Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:41.6514805Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:41.6717776Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:41.6835623Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:41.6921379Z PASSED [ 60%]
2022-05-18T04:29:41.7303465Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_lstm_trilayer_forward_with_initial_state_without_sequence_lengths_without_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:41.7506601Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:41.7623339Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:41.8060978Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:41.8265042Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:41.8381483Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:41.8467735Z PASSED [ 60%]
2022-05-18T04:29:41.8853452Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_lstm_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:41.8855006Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:41.9370422Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:41.9371364Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:41.9899363Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:41.9900400Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:42.0416031Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:42.0416902Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:42.0594748Z PASSED [ 60%]
2022-05-18T04:29:42.0986413Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_lstm_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:42.0988062Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:42.1506239Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:42.1507034Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:42.2037371Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:42.2038396Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:42.2554462Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:42.2555347Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:42.2727839Z PASSED [ 61%]
2022-05-18T04:29:42.3113760Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_lstm_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:42.3115119Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:42.3628725Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:42.3629577Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:42.4145521Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:42.4663091Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:42.4664268Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:42.4665206Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:42.4832994Z PASSED [ 61%]
2022-05-18T04:29:42.5216580Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_lstm_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:42.5217911Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:42.5733803Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:42.5734934Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:42.6252688Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:42.6253706Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:42.6767975Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:42.6768826Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:42.6935987Z PASSED [ 61%]
2022-05-18T04:29:42.7808162Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_lstm_unilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:42.7931209Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:42.8010798Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:42.8923681Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:42.9046450Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:42.9124953Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:42.9192922Z PASSED [ 61%]
2022-05-18T04:29:43.0065045Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_lstm_unilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:43.0186379Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:43.0265330Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:43.1179196Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:43.1302954Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:43.1381722Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:43.1450274Z PASSED [ 61%]
2022-05-18T04:29:43.1832985Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_lstm_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:43.1834314Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:43.2297175Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:43.2298095Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:43.2783743Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:43.2784756Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:43.3249266Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:43.3250080Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:43.3389118Z PASSED [ 61%]
2022-05-18T04:29:43.3765763Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_lstm_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:43.3767089Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:43.4231159Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:43.4232091Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:43.4715404Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:43.5181271Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:43.5182078Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:43.5182905Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:43.5323654Z PASSED [ 61%]
2022-05-18T04:29:43.5704625Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_lstm_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:43.5705965Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:43.6171843Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:43.6172650Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:43.6651983Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:43.6653015Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:43.7118316Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:43.7119207Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:43.7251414Z PASSED [ 61%]
2022-05-18T04:29:43.7627754Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_lstm_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:43.7629094Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:43.8091602Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:43.8092462Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:43.8569909Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:43.8571232Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:43.9035665Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:43.9036482Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:43.9169320Z PASSED [ 62%]
2022-05-18T04:29:43.9534926Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_lstm_unilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:43.9654190Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:43.9722535Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:44.0102373Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:44.0220591Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:44.0288487Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:44.0333529Z PASSED [ 62%]
2022-05-18T04:29:44.0700804Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_lstm_unilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:44.0819565Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:44.0887821Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:44.1267630Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:44.1385183Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:44.1452964Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:44.1496193Z PASSED [ 62%]
2022-05-18T04:29:44.1863572Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_lstm_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:44.1864273Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:44.2320333Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:44.2320864Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:44.2784762Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:44.2785298Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:44.3243359Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:44.3244091Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:44.3371027Z PASSED [ 62%]
2022-05-18T04:29:44.3738820Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_lstm_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:44.3739587Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:44.4196417Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:44.4196955Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:44.4662545Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:44.4663068Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:44.5120187Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:44.5120717Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:44.5246759Z PASSED [ 62%]
2022-05-18T04:29:44.5614262Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_lstm_unilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:44.5615141Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:44.6077998Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:44.6078888Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:44.6538560Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:44.6539363Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:44.6997422Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:44.6998123Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:44.7118813Z PASSED [ 62%]
2022-05-18T04:29:44.7484578Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_lstm_unilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:44.7941852Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:44.7942408Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:44.7942928Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:44.8401145Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:44.8401691Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:44.8858459Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:44.8859038Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:44.8978136Z PASSED [ 62%]
2022-05-18T04:29:44.9826628Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_lstm_unilayer_forward_no_initial_state_without_sequence_lengths_with_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:44.9886862Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:44.9930018Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:45.0814360Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:45.0875521Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:45.0922735Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:45.0985185Z PASSED [ 62%]
2022-05-18T04:29:45.1833623Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_lstm_unilayer_forward_no_initial_state_without_sequence_lengths_without_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:45.1895234Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:45.1943636Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:45.2830353Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:45.2891380Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:45.2935014Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:45.3001539Z PASSED [ 63%]
2022-05-18T04:29:45.3363437Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_lstm_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:45.3364137Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:45.3769173Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:45.3769764Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:45.4201504Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:45.4202034Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:45.4607980Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:45.4608492Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:45.4703965Z PASSED [ 63%]
2022-05-18T04:29:45.5064024Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_lstm_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:45.5065009Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:45.5471962Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:45.5472475Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:45.5895723Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:45.5896254Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:45.6304739Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:45.6305526Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:45.6401834Z PASSED [ 63%]
2022-05-18T04:29:45.6763610Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_lstm_unilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:45.6764306Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:45.7171338Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:45.7171859Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:45.7589614Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:45.7590167Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:45.7996541Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:45.7997192Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:45.8087072Z PASSED [ 63%]
2022-05-18T04:29:45.8446386Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_lstm_unilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:45.8447079Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:45.8851722Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:45.8852484Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:45.9267365Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:45.9267878Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:45.9674563Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:45.9675076Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:45.9767361Z PASSED [ 63%]
2022-05-18T04:29:46.0116038Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_lstm_unilayer_forward_with_initial_state_without_sequence_lengths_with_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:46.0173394Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:46.0209799Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:46.0567538Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:46.0626122Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:46.0662572Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:46.0703540Z PASSED [ 63%]
2022-05-18T04:29:46.1049330Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_lstm_unilayer_forward_with_initial_state_without_sequence_lengths_without_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:46.1107570Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:46.1140901Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:46.1498001Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:46.1555867Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:46.1588945Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:46.1628224Z PASSED [ 63%]
2022-05-18T04:29:46.2448762Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_lt PASSED [ 63%]
2022-05-18T04:29:46.2982515Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_lt_scalar PASSED [ 64%]
2022-05-18T04:29:48.9933325Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_mask_rcnn WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:48.9933963Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:58.8885283Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:58.8885835Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:59.1041065Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:59.1041616Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:59.3228284Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:29:59.3228800Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:30:05.8753264Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:30:05.9012834Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:30:13.0350219Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:30:13.0655133Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:30:20.3846238Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:30:22.0450648Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:30:22.0451201Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:30:22.6717255Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:30:22.6726507Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:30:22.7020842Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:30:23.2036563Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:30:23.2037317Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:30:23.2122494Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:30:23.2208103Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:30:23.2208865Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:30:23.2209379Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:30:23.5120505Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:30:23.5135489Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:30:23.8789528Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:30:23.8804599Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:30:24.0925774Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:30:24.0989908Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:30:24.1399268Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:30:24.1399861Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:30:24.2229153Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:30:24.2229721Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:30:24.2453366Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:30:24.3699488Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:30:24.3700027Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:30:24.3778654Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:30:24.3779247Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:30:24.3856441Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:30:24.3856937Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:30:24.5950280Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:30:24.5953312Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:30:24.9198900Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:30:24.9202234Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:30:25.1014914Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:30:25.1041944Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:30:25.1393850Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:30:25.1394752Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:30:29.5046457Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:30:29.5047350Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:30:39.3876629Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:30:39.3877521Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:30:39.6046248Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:30:39.6047188Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:30:39.8238906Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:30:39.8239811Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:30:46.4106018Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:30:46.4365025Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:30:53.6452959Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:30:53.6769735Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:31:01.0643275Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:31:02.7549957Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:31:02.7551251Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:31:03.4011044Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:31:03.4011590Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:31:03.4290908Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:31:03.8937101Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:31:03.8937699Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:31:03.9019435Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:31:03.9019976Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:31:03.9100971Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:31:03.9101462Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:31:04.1821690Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:31:04.1835849Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:31:04.5309423Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:31:04.5323628Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:31:04.7298012Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:31:04.7355211Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:31:04.7765658Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:31:04.7766172Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:31:04.8617213Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:31:04.8617969Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:31:04.8827252Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:31:04.9952169Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:31:04.9952973Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:31:05.0029410Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:31:05.0029965Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:31:05.0102513Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:31:05.0103031Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:31:05.2073649Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:31:05.2076867Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:31:05.5191927Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:31:05.5194944Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:31:05.6878552Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:31:05.6907019Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:31:05.7258169Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:31:05.7258826Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:31:10.2284264Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:31:10.2285075Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:31:20.1003082Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:31:20.1004025Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:31:20.3182224Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:31:20.3183090Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:31:20.5354916Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:31:20.5356119Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:31:27.0799601Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:31:27.1064576Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:31:34.2936751Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:31:34.3241001Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:31:41.6556677Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:31:43.3267912Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:31:43.3268821Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:31:43.9652995Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:31:43.9653894Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:31:43.9937967Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:31:44.4728346Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:31:44.4729216Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:31:44.4812665Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:31:44.4813898Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:31:44.4896359Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:31:44.4897292Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:31:44.7656505Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:31:44.7672332Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:31:45.1182494Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:31:45.1198120Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:31:45.3199005Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:31:45.3259402Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:31:45.3677118Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:31:45.3678054Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:31:45.4530253Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:31:45.4531145Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:31:45.4742658Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:31:45.5905901Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:31:45.5906804Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:31:45.5982185Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:31:45.5983099Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:31:45.6056832Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:31:45.6057462Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:31:45.8037398Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:31:45.8040662Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:31:46.1157117Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:31:46.1160545Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:31:46.2854665Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:31:46.2880137Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:31:46.3230509Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:31:46.3231043Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:31:53.1252375Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:31:53.1253283Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:32:02.9884316Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:32:02.9885231Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:32:03.2036773Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:32:03.2037326Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:32:03.4208400Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:32:03.4209057Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:32:09.9573307Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:32:09.9832150Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:32:17.1299154Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:32:17.1600953Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:32:24.4687132Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:32:26.1259017Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:32:26.1259552Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:32:26.7614498Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:32:26.7615233Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:32:26.7898629Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:32:27.2697660Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:32:27.2698211Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:32:27.2779879Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:32:27.2780527Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:32:27.2861618Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:32:27.2862423Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:32:27.5604330Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:32:27.5619345Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:32:27.9119434Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:32:27.9133336Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:32:28.1135020Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:32:28.1194020Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:32:28.1610230Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:32:28.1610914Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:32:28.2465424Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:32:28.2466135Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:32:28.2674617Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:32:28.3840343Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:32:28.3841015Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:32:28.3914221Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:32:28.3915147Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:32:28.3987588Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:32:28.3988304Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:32:28.5943178Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:32:28.5946372Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:32:28.9040774Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:32:28.9043826Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:32:29.0719778Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:32:29.0745571Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:32:29.1092733Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:32:29.1093266Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:32:32.9661539Z PASSED [ 64%]
2022-05-18T04:32:33.0445324Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_masked_fill PASSED [ 64%]
2022-05-18T04:32:33.0536179Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_masked_fill_inplace Warning: ONNX Preprocess - Removing mutation from node aten::masked_fill_ on block input: 'x.1'. This changes graph semantics.
2022-05-18T04:32:33.0771386Z Warning: ONNX Preprocess - Removing mutation from node aten::masked_fill_ on block input: 'x.1'. This changes graph semantics.
2022-05-18T04:32:33.0979118Z PASSED [ 64%]
2022-05-18T04:32:33.1512943Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_masked_scatter PASSED [ 64%]
2022-05-18T04:32:33.1894980Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_masked_select PASSED [ 64%]
2022-05-18T04:32:33.2324622Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_matmul PASSED [ 64%]
2022-05-18T04:32:33.2756434Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_matmul_batch PASSED [ 64%]
2022-05-18T04:32:33.3399776Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_max_int PASSED [ 65%]
2022-05-18T04:32:33.3629996Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_max_tensors PASSED [ 65%]
2022-05-18T04:32:33.3920916Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_maximum_minimum PASSED [ 65%]
2022-05-18T04:32:33.4472278Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_maxpool PASSED [ 65%]
2022-05-18T04:32:33.4999407Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_maxpool_1d_ceil PASSED [ 65%]
2022-05-18T04:32:33.5547935Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_maxpool_2d PASSED [ 65%]
2022-05-18T04:32:33.6170685Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_maxpool_2d_ceil PASSED [ 65%]
2022-05-18T04:32:34.2874047Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_maxpool_3d_ceil PASSED [ 65%]
2022-05-18T04:32:34.3249925Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_maxpool_adaptive PASSED [ 66%]
2022-05-18T04:32:34.3790321Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_maxpool_default_stride PASSED [ 66%]
2022-05-18T04:32:34.4279382Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_maxpool_dilation PASSED [ 66%]
2022-05-18T04:32:34.4878718Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_maxpool_with_indices PASSED [ 66%]
2022-05-18T04:32:34.5371543Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_meshgrid PASSED [ 66%]
2022-05-18T04:32:34.5863770Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_meshgrid_scalar PASSED [ 66%]
2022-05-18T04:32:34.6511666Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_min_int PASSED [ 66%]
2022-05-18T04:32:34.7327164Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_minimum_dtypes PASSED [ 66%]
2022-05-18T04:32:34.7609819Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_mish PASSED [ 67%]
2022-05-18T04:32:34.7632791Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_mixed_optional SKIPPED [ 67%]
2022-05-18T04:32:34.7654279Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_mixed_optional_default_none SKIPPED [ 67%]
2022-05-18T04:32:34.7675916Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_mixed_optional_default_tensor SKIPPED [ 67%]
2022-05-18T04:32:34.7697167Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_mixed_optional_default_tensor_script SKIPPED [ 67%]
2022-05-18T04:32:40.0045966Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_mobilenet_v3 PASSED [ 67%]
2022-05-18T04:32:40.0064748Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_mobilenet_v3_quant SKIPPED [ 67%]
2022-05-18T04:32:40.0087756Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_mod_with_low_precision SKIPPED [ 67%]
2022-05-18T04:32:40.6060640Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_multi_scale_roi_align PASSED [ 68%]
2022-05-18T04:32:40.6833392Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_multinomial PASSED [ 68%]
2022-05-18T04:32:40.9856371Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_multiple_conv_bn Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'bn.num_batches_tracked'. This changes graph semantics.
2022-05-18T04:32:40.9857597Z Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'bn2.num_batches_tracked'. This changes graph semantics.
2022-05-18T04:32:41.4983234Z PASSED [ 68%]
2022-05-18T04:32:41.6152911Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_multiple_dynamic_repeat_interleave PASSED [ 68%]
2022-05-18T04:32:41.6582955Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_mv PASSED [ 68%]
2022-05-18T04:32:41.8243502Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_nan_to_num PASSED [ 68%]
2022-05-18T04:32:41.8632781Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_narrow PASSED [ 68%]
2022-05-18T04:32:41.9242891Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_narrow_dynamic PASSED [ 68%]
2022-05-18T04:32:42.0064797Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_nested_tuple_input PASSED [ 69%]
2022-05-18T04:32:42.0283627Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_nested_tuple_output PASSED [ 69%]
2022-05-18T04:32:42.2952800Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_new_empty PASSED [ 69%]
2022-05-18T04:32:42.5068433Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_new_full PASSED [ 69%]
2022-05-18T04:32:42.6891299Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_new_ones PASSED [ 69%]
2022-05-18T04:32:42.8706445Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_new_zeros PASSED [ 69%]
2022-05-18T04:32:42.9600341Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_nllloss PASSED [ 69%]
2022-05-18T04:32:43.0836085Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_nllloss_2d_mean PASSED [ 69%]
2022-05-18T04:32:43.2010335Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_nllloss_2d_mean_ignore_index PASSED [ 70%]
2022-05-18T04:32:43.3165453Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_nllloss_2d_mean_ignore_index_weights PASSED [ 70%]
2022-05-18T04:32:43.4341734Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_nllloss_2d_mean_weights PASSED [ 70%]
2022-05-18T04:32:43.5559112Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_nllloss_2d_none PASSED [ 70%]
2022-05-18T04:32:43.6784651Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_nllloss_2d_sum PASSED [ 70%]
2022-05-18T04:32:43.8070167Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_nllloss_dynamic_ignore_index PASSED [ 70%]
2022-05-18T04:32:43.8444889Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_nms PASSED [ 70%]
2022-05-18T04:32:43.8594872Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_nonzero PASSED [ 70%]
2022-05-18T04:32:43.8925498Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_normalize WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:32:43.8985219Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:32:43.8998954Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:32:43.9217031Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:32:43.9276197Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:32:43.9282208Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:32:43.9317810Z PASSED [ 71%]
2022-05-18T04:32:43.9617168Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_numel PASSED [ 71%]
2022-05-18T04:32:43.9910272Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_numel_empty PASSED [ 71%]
2022-05-18T04:32:44.0820032Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_one_hot PASSED [ 71%]
2022-05-18T04:32:44.1754086Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_ones_bool PASSED [ 71%]
2022-05-18T04:32:44.1855049Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_onnx_checker_invalid_graph PASSED [ 71%]
2022-05-18T04:32:44.1955015Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_onnx_proto_checker PASSED [ 71%]
2022-05-18T04:32:44.2794353Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_outer PASSED [ 71%]
2022-05-18T04:32:44.3025229Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_pad_int Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:32:44.3034473Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:32:44.3042866Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:32:44.3053577Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:32:44.3059536Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:32:44.3231623Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:32:44.3240438Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:32:44.3248797Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:32:44.3254844Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:32:44.3260727Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:32:44.3297181Z PASSED [ 72%]
2022-05-18T04:32:44.3508687Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_pad_types WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:32:44.3526576Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:32:44.3729061Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:32:44.3745306Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:32:44.3987658Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:32:44.4004037Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:32:44.4209870Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:32:44.4226725Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:32:44.4289003Z PASSED [ 72%]
2022-05-18T04:32:44.4713076Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_pairwise_distance PASSED [ 72%]
2022-05-18T04:32:44.6474615Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_paste_mask_in_image PASSED [ 72%]
2022-05-18T04:32:44.7040896Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_pixel_shuffle PASSED [ 72%]
2022-05-18T04:32:44.7678159Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_pixel_unshuffle PASSED [ 72%]
2022-05-18T04:32:44.9647339Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_pow PASSED [ 72%]
2022-05-18T04:32:44.9913035Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_prelu PASSED [ 72%]
2022-05-18T04:32:45.0125907Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_prelu_scalar PASSED [ 73%]
2022-05-18T04:32:45.1537216Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_prim_min PASSED [ 73%]
2022-05-18T04:32:45.1702770Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_primitive_input_bool PASSED [ 73%]
2022-05-18T04:32:45.1976898Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_primitive_input_floating PASSED [ 73%]
2022-05-18T04:32:45.2266542Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_primitive_input_integer PASSED [ 73%]
2022-05-18T04:32:45.2988314Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_qat_conv2d WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:32:45.3288504Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:32:45.3301281Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:32:45.4139516Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:32:45.4438709Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:32:45.4452775Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:32:45.4576481Z PASSED [ 73%]
2022-05-18T04:32:45.5255327Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_qat_conv2d_relu WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:32:45.5551627Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:32:45.5565117Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:32:45.5601142Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:32:45.6512941Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:32:45.6812531Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:32:45.6826782Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:32:45.6860037Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:32:45.6993561Z PASSED [ 73%]
2022-05-18T04:32:45.7759173Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_qat_conv2d_relu_fused WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:32:45.8059152Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:32:45.8072035Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:32:45.8978570Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:32:45.9279272Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:32:45.9293223Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:32:45.9417578Z PASSED [ 73%]
2022-05-18T04:32:45.9995198Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_qat_linear_per_channel WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:32:46.0189523Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:32:46.0203311Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:32:46.0905313Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:32:46.1102883Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:32:46.1116474Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:32:46.1232764Z PASSED [ 74%]
2022-05-18T04:32:46.1695885Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_qat_maxpool2d WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:32:46.1729660Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:32:46.1975554Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:32:46.2144125Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:32:46.2228472Z PASSED [ 74%]
2022-05-18T04:32:46.2582130Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_qat_relu WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:32:46.2612739Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:32:46.2840037Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:32:46.2875421Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:32:46.2956130Z PASSED [ 74%]
2022-05-18T04:32:46.3232546Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_quantize_per_tensor WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:32:46.3262812Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:32:46.3444944Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:32:46.3557394Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:32:46.3602566Z PASSED [ 74%]
2022-05-18T04:32:46.3781856Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_quantized_adaptive_avg_pool2d WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:32:46.4017772Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:32:46.4071308Z PASSED [ 74%]
2022-05-18T04:32:46.4326656Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_quantized_arithmetic WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:32:46.4365638Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:32:46.4679084Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:32:46.4717996Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:32:46.4800415Z PASSED [ 74%]
2022-05-18T04:32:46.5064398Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_quantized_arithmetic_qfunctional WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:32:46.5105937Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:32:46.5189332Z PASSED [ 74%]
2022-05-18T04:32:46.5818689Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_quantized_conv2d WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:32:46.5830610Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:32:46.6740638Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:32:46.6751644Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:32:46.6855903Z PASSED [ 74%]
2022-05-18T04:32:46.7496991Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_quantized_conv2d_relu WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:32:46.7510326Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:32:46.8415307Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:32:46.8426920Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:32:46.8529275Z PASSED [ 75%]
2022-05-18T04:32:46.8749835Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_quantized_flatten WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:32:46.9004756Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:32:46.9066733Z PASSED [ 75%]
2022-05-18T04:32:46.9200001Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_quantized_hardsigmoid WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:32:46.9382367Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:32:46.9435790Z PASSED [ 75%]
2022-05-18T04:32:46.9666887Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_quantized_hardswish WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:32:46.9915766Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:32:46.9974388Z PASSED [ 75%]
2022-05-18T04:32:47.0463698Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_quantized_linear WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:32:47.0475600Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:32:47.1133980Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:32:47.1147119Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:32:47.1234665Z PASSED [ 75%]
2022-05-18T04:32:47.2682202Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_random PASSED [ 75%]
2022-05-18T04:32:47.4270336Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_random_dynamic_size PASSED [ 75%]
2022-05-18T04:32:47.5889449Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_random_like PASSED [ 75%]
2022-05-18T04:32:47.8022433Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_random_like_dtype PASSED [ 76%]
2022-05-18T04:32:47.8607416Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_reciprocal PASSED [ 76%]
2022-05-18T04:32:47.9214736Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_reduce_log_sum_exp PASSED [ 76%]
2022-05-18T04:32:47.9943162Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_reduced_mean PASSED [ 76%]
2022-05-18T04:32:48.1343589Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_reduced_min_max PASSED [ 76%]
2022-05-18T04:32:48.3521396Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_reduced_prod PASSED [ 76%]
2022-05-18T04:32:48.6410114Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_reduced_sum PASSED [ 76%]
2022-05-18T04:32:48.7072460Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_reduced_sum_dtypes PASSED [ 76%]
2022-05-18T04:32:48.7280168Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_reflection_pad Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:32:48.7295606Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:32:48.7312268Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:32:48.7484969Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:32:48.7501451Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:32:48.7511169Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:32:48.7733834Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:32:48.7750559Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:32:48.7765790Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:32:48.7939675Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:32:48.7955594Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:32:48.7965829Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:32:48.8004761Z PASSED [ 77%]
2022-05-18T04:32:48.8397523Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_relu6 PASSED [ 77%]
2022-05-18T04:32:48.8590662Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_relu_int PASSED [ 77%]
2022-05-18T04:32:48.9651773Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_remainder PASSED [ 77%]
2022-05-18T04:32:49.0177298Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_remainder_scalar PASSED [ 77%]
2022-05-18T04:32:49.0923836Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_repeat PASSED [ 77%]
2022-05-18T04:32:49.4033678Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_repeat_interleave PASSED [ 77%]
2022-05-18T04:32:49.4570256Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_repeat_interleave_noop PASSED [ 77%]
2022-05-18T04:32:49.4780884Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_replication_pad Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:32:49.4797470Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:32:49.4813314Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:32:49.4987700Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:32:49.5003387Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:32:49.5013450Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:32:49.5238676Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:32:49.5255297Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:32:49.5270934Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:32:49.5445001Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:32:49.5461453Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:32:49.5471398Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:32:49.5509580Z PASSED [ 78%]
2022-05-18T04:32:49.5528509Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_reshape_allowzero SKIPPED [ 78%]
2022-05-18T04:32:49.5864501Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_reshape_constant_fold PASSED [ 78%]
2022-05-18T04:32:49.6166088Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_reshape_different_rank PASSED [ 78%]
2022-05-18T04:32:49.7722315Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_resize_images WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:32:49.7769837Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:32:49.7854149Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:32:50.0119777Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:32:50.0120323Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:32:50.0230530Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:32:50.0231116Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:32:50.0250853Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:32:50.0251662Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:32:50.0378582Z PASSED [ 78%]
2022-05-18T04:32:50.0698501Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_rnn_no_bias WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:32:50.0702418Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:32:50.0709612Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:32:50.0711634Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:32:50.0717251Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:32:50.0718115Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:32:50.1030824Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:32:50.1035023Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:32:50.1046112Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:32:50.1057090Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:32:50.1070669Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:32:50.1073328Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:32:50.1078747Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:32:50.1084144Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:32:50.1091747Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:32:50.1092588Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:32:50.1096742Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:32:50.1100665Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:32:50.1451301Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:32:50.1452237Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:32:50.1643488Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:32:50.1789760Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:32:50.1790748Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:32:50.1796619Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:32:50.1802557Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:32:50.2152613Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:32:50.2153609Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:32:50.2350355Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:32:50.2362388Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:32:50.2374406Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:32:50.2526315Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:32:50.2526839Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:32:50.2536342Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:32:50.2541847Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:32:50.2547055Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:32:50.2555789Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:32:50.2559656Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:32:50.2563190Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:32:50.2927310Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:32:50.2927859Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:32:50.3119048Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:32:50.3265551Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:32:50.3266133Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:32:50.3273759Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:32:50.3279919Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:32:50.3637482Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:32:50.3638028Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:32:50.3830681Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:32:50.3840963Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:32:50.3851197Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:32:50.4005254Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:32:50.4005774Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:32:50.4016303Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:32:50.4021330Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:32:50.4026066Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:32:50.4035256Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:32:50.4038786Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:32:50.4042257Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:32:50.4112441Z PASSED [ 78%]
2022-05-18T04:32:50.4753846Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_roi_align PASSED [ 78%]
2022-05-18T04:32:50.6850808Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_roi_align_aligned PASSED [ 78%]
2022-05-18T04:32:54.9621470Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_roi_heads WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:32:54.9747108Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:32:59.7433265Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:32:59.7613859Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:33:03.0897622Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:33:03.0898279Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:33:03.2482757Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:33:03.2483736Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:33:03.3505893Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:33:03.3506446Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:33:03.5466171Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:33:03.5466717Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:33:06.7522413Z PASSED [ 79%]
2022-05-18T04:33:06.7962912Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_roi_pool PASSED [ 79%]
2022-05-18T04:33:06.9438536Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_roll PASSED [ 79%]
2022-05-18T04:33:06.9650241Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_round PASSED [ 79%]
2022-05-18T04:33:10.3010000Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_rpn WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:33:10.3136781Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:33:12.6725716Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:33:12.6726630Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:33:12.7581639Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:33:12.7582182Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:33:13.1059728Z PASSED [ 79%]
2022-05-18T04:33:13.1311630Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_rsqrt PASSED [ 79%]
2022-05-18T04:33:13.1549299Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_rsqrt_zeros PASSED [ 79%]
2022-05-18T04:33:13.2395113Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_scalar_tensor PASSED [ 79%]
2022-05-18T04:33:13.6487243Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_scalar_type PASSED [ 80%]
2022-05-18T04:33:13.7565312Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_scatter PASSED [ 80%]
2022-05-18T04:33:13.7986779Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_scatter_add Warning: ONNX Preprocess - Removing mutation from node aten::scatter_add_ on block input: 'src.1'. This changes graph semantics.
2022-05-18T04:33:13.7987821Z Warning: ONNX Preprocess - Removing mutation from node aten::scatter_add_ on block input: 'index.1'. This changes graph semantics.
2022-05-18T04:33:13.8316826Z Warning: ONNX Preprocess - Removing mutation from node aten::scatter_add_ on block input: '0'. This changes graph semantics.
2022-05-18T04:33:13.8317489Z Warning: ONNX Preprocess - Removing mutation from node aten::scatter_add_ on block input: '1'. This changes graph semantics.
2022-05-18T04:33:13.8618554Z PASSED [ 80%]
2022-05-18T04:33:13.8983845Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_scatter_with_scalar PASSED [ 80%]
2022-05-18T04:33:13.9346621Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_scatter_with_scalar_different_types PASSED [ 80%]
2022-05-18T04:33:13.9581244Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_script_custom_class_error PASSED [ 80%]
2022-05-18T04:33:14.0111710Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_select PASSED [ 80%]
2022-05-18T04:33:14.0672875Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_select_negative_index PASSED [ 80%]
2022-05-18T04:33:14.1075145Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_sequance_loopcarried PASSED [ 80%]
2022-05-18T04:33:14.1623900Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_sequence_to_bool PASSED [ 81%]
2022-05-18T04:33:14.2198129Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_sequence_to_float PASSED [ 81%]
2022-05-18T04:33:14.2772604Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_sequence_to_int PASSED [ 81%]
2022-05-18T04:33:14.3285976Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_set_ PASSED [ 81%]
2022-05-18T04:33:14.3910745Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_set_attr PASSED [ 81%]
2022-05-18T04:33:14.4554032Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_set_attr_2 PASSED [ 81%]
2022-05-18T04:33:14.5830685Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_set_attr_3 PASSED [ 81%]
2022-05-18T04:33:14.6821980Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_set_attr_4 PASSED [ 81%]
2022-05-18T04:33:15.1352732Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_set_attr_5 PASSED [ 82%]
2022-05-18T04:33:15.5669464Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_set_attr_in_loop PASSED [ 82%]
2022-05-18T04:33:15.6967360Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_set_attr_in_loop_with_list PASSED [ 82%]
2022-05-18T04:33:16.0344187Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_set_attr_modules PASSED [ 82%]
2022-05-18T04:33:16.3441292Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_set_attr_modules_2 PASSED [ 82%]
2022-05-18T04:33:16.3871942Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_shape_constant_fold PASSED [ 82%]
2022-05-18T04:33:16.4377811Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_shape_value_map PASSED [ 82%]
2022-05-18T04:33:24.0870661Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_shufflenet_v2_dynamic_axes PASSED [ 82%]
2022-05-18T04:33:24.1170508Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_silu PASSED [ 83%]
2022-05-18T04:33:24.3664732Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_size PASSED [ 83%]
2022-05-18T04:33:24.6281070Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_slice_dynamic PASSED [ 83%]
2022-05-18T04:33:24.6522314Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_slice_dynamic_script PASSED [ 83%]
2022-05-18T04:33:24.7867554Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_slice_dynamic_shape_script PASSED [ 83%]
2022-05-18T04:33:24.9992433Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_slice_dynamic_to_end PASSED [ 83%]
2022-05-18T04:33:25.0468498Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_slice_neg PASSED [ 83%]
2022-05-18T04:33:25.1700492Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_slice_neg_large PASSED [ 83%]
2022-05-18T04:33:25.2876611Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_slice_neg_large_negone PASSED [ 84%]
2022-05-18T04:33:25.3285562Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_slice_trace PASSED [ 84%]
2022-05-18T04:33:25.6042953Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_slice_with_input_index PASSED [ 84%]
2022-05-18T04:33:26.0228757Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_softmax PASSED [ 84%]
2022-05-18T04:33:26.1944569Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_softmax_large_values PASSED [ 84%]
2022-05-18T04:33:26.2955392Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_softplus PASSED [ 84%]
2022-05-18T04:33:26.3842044Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_softshrink PASSED [ 84%]
2022-05-18T04:33:26.4297342Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_sort PASSED [ 84%]
2022-05-18T04:33:26.4755475Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_sort_ascending PASSED [ 85%]
2022-05-18T04:33:26.5112016Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_spectral_norm PASSED [ 85%]
2022-05-18T04:33:26.5705885Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_split PASSED [ 85%]
2022-05-18T04:33:26.6204525Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_split_dynamic PASSED [ 85%]
2022-05-18T04:33:26.6552545Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_split_dynamic_axes PASSED [ 85%]
2022-05-18T04:33:26.7964737Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_split_script PASSED [ 85%]
2022-05-18T04:33:26.8227836Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_split_size_as_list PASSED [ 85%]
2022-05-18T04:33:26.9412865Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_split_size_with_slice PASSED [ 85%]
2022-05-18T04:33:26.9434175Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_split_tensor_multi PASSED [ 86%]
2022-05-18T04:33:26.9808684Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_split_tensor_scalar PASSED [ 86%]
2022-05-18T04:33:27.0020450Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_square PASSED [ 86%]
2022-05-18T04:33:27.0295241Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_squeeze PASSED [ 86%]
2022-05-18T04:33:27.0499593Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_squeeze_all_dims PASSED [ 86%]
2022-05-18T04:33:27.0815607Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_squeeze_dynamic PASSED [ 86%]
2022-05-18T04:33:27.1050360Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_squeeze_dynamic_dim PASSED [ 86%]
2022-05-18T04:33:27.1374486Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_squeeze_neg PASSED [ 86%]
2022-05-18T04:33:27.1644319Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_squeeze_neg_without_no_op PASSED [ 87%]
2022-05-18T04:33:27.1963047Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_squeeze_no_op PASSED [ 87%]
2022-05-18T04:33:27.3657325Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_squeeze_runtime_dim PASSED [ 87%]
2022-05-18T04:33:27.3922720Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_squeeze_without_no_op PASSED [ 87%]
2022-05-18T04:33:27.4310025Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_stack PASSED [ 87%]
2022-05-18T04:33:27.4544911Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_stack_dynamic PASSED [ 87%]
2022-05-18T04:33:27.5161023Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_std PASSED [ 87%]
2022-05-18T04:33:27.6005382Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_std_along_dims PASSED [ 87%]
2022-05-18T04:33:27.6480994Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_std_correction PASSED [ 88%]
2022-05-18T04:33:27.7331525Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_std_keepdim PASSED [ 88%]
2022-05-18T04:33:27.7954747Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_std_mean PASSED [ 88%]
2022-05-18T04:33:27.8808612Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_std_mean_along_dims PASSED [ 88%]
2022-05-18T04:33:27.9285081Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_std_mean_correction PASSED [ 88%]
2022-05-18T04:33:28.0140236Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_std_mean_keepdim PASSED [ 88%]
2022-05-18T04:33:28.0413445Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_sum PASSED [ 88%]
2022-05-18T04:33:28.2206051Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_sum_empty_tensor PASSED [ 88%]
2022-05-18T04:33:28.5341767Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_symbolic_shape_inference PASSED [ 89%]
2022-05-18T04:33:28.9456552Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_symbolic_shape_inference_arange PASSED [ 89%]
2022-05-18T04:33:29.1939350Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_symbolic_shape_inference_arange_2 PASSED [ 89%]
2022-05-18T04:33:29.6351633Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_symbolic_shape_inference_box PASSED [ 89%]
2022-05-18T04:33:29.7141338Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_symbolic_shape_inference_box_if PASSED [ 89%]
2022-05-18T04:33:29.7825468Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_symbolic_shape_inference_dynamic_axes PASSED [ 89%]
2022-05-18T04:33:29.8201353Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_symbolic_shape_inference_expand_1 PASSED [ 89%]
2022-05-18T04:33:30.0375505Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_symbolic_shape_inference_expand_2 PASSED [ 89%]
2022-05-18T04:33:30.4437111Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_symbolic_shape_inference_nonzero PASSED [ 90%]
2022-05-18T04:33:30.6028539Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_symbolic_shape_inference_slice PASSED [ 90%]
2022-05-18T04:33:30.7188272Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_symbolic_shape_inference_slice_2 PASSED [ 90%]
2022-05-18T04:33:30.7541106Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_symbolic_shape_inference_time WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:33:30.7598644Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:33:30.7630675Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:33:30.7943523Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:33:30.7966678Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:33:30.7975308Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:33:30.7988245Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:33:30.7994117Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:33:30.7994878Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:33:30.8295955Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:33:30.8299784Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:33:30.8305771Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:33:30.8308582Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:33:30.8312568Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:33:30.8313066Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:33:30.8350619Z PASSED [ 90%]
2022-05-18T04:33:30.8647350Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_take PASSED [ 90%]
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2022-05-18T04:33:30.9631995Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_tanhshrink PASSED [ 90%]
2022-05-18T04:33:31.1906200Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_tensor PASSED [ 90%]
2022-05-18T04:33:31.4145449Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_tensor_factories PASSED [ 91%]
2022-05-18T04:33:31.4723572Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_tensor_factories_script PASSED [ 91%]
2022-05-18T04:33:31.8386101Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_tensor_index_advanced_indexing PASSED [ 91%]
2022-05-18T04:33:31.9381895Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_tensor_index_advanced_indexing_consecutive PASSED [ 91%]
2022-05-18T04:33:31.9704811Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_tensor_index_advanced_indexing_ellipsis PASSED [ 91%]
2022-05-18T04:33:32.0366824Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_tensor_like_factories_script PASSED [ 91%]
2022-05-18T04:33:32.0610008Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_tensordot_dim_count PASSED [ 91%]
2022-05-18T04:33:32.1641674Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_tensordot_dim_list PASSED [ 91%]
2022-05-18T04:33:32.1896105Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_tensordot_dynamic_dim PASSED [ 92%]
2022-05-18T04:33:32.2852957Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_to_device PASSED [ 92%]
2022-05-18T04:33:32.3043019Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_tolist PASSED [ 92%]
2022-05-18T04:33:32.3478351Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_topk PASSED [ 92%]
2022-05-18T04:33:32.3874490Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_topk_int32_k PASSED [ 92%]
2022-05-18T04:33:32.4082607Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_topk_script PASSED [ 92%]
2022-05-18T04:33:32.4819288Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_topk_smallest_unsorted PASSED [ 92%]
2022-05-18T04:33:32.5044384Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_torch_mm PASSED [ 92%]
2022-05-18T04:33:32.6043461Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_trace_script PASSED [ 93%]
2022-05-18T04:33:32.8861038Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_transform_images WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:33:32.8861709Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:33:33.1235091Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:33:33.1235682Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:33:33.5257191Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:33:33.5257790Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:33:33.5271082Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:33:33.5271631Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:33:33.5304485Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:33:33.5327430Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:33:33.5367102Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:33:33.5367677Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:33:33.5387358Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:33:33.5387892Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:33:33.5425953Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:33:33.5448255Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:33:33.5780460Z PASSED [ 93%]
2022-05-18T04:33:34.7451305Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_transformer_encoder PASSED [ 93%]
2022-05-18T04:33:34.7951421Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_transpose_infer_shape PASSED [ 93%]
2022-05-18T04:33:34.8752909Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_tril PASSED [ 93%]
2022-05-18T04:33:34.9543811Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_triu PASSED [ 93%]
2022-05-18T04:33:34.9716476Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_tuple_input PASSED [ 93%]
2022-05-18T04:33:34.9741688Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_tuple_of_optional SKIPPED [ 93%]
2022-05-18T04:33:34.9763524Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_tuple_of_optional_default_tensor SKIPPED [ 94%]
2022-05-18T04:33:34.9786025Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_tuple_of_optional_default_tensor_script SKIPPED [ 94%]
2022-05-18T04:33:34.9990087Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_tuple_output PASSED [ 94%]
2022-05-18T04:33:35.0309620Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_tuple_output_from_if_with_raised_exception PASSED [ 94%]
2022-05-18T04:33:35.0618152Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_tuple_primitive_input PASSED [ 94%]
2022-05-18T04:33:35.0673080Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_tuple_with_none_outputs PASSED [ 94%]
2022-05-18T04:33:35.1450155Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_type_as PASSED [ 94%]
2022-05-18T04:33:35.2339955Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_unbind PASSED [ 94%]
2022-05-18T04:33:35.2782859Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_unbind_dynamic PASSED [ 95%]
2022-05-18T04:33:35.3159352Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_unfold PASSED [ 95%]
2022-05-18T04:33:35.4413075Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_unfold_dynamic_inputs PASSED [ 95%]
2022-05-18T04:33:35.5063837Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_unfold_infer_shape PASSED [ 95%]
2022-05-18T04:33:35.5682029Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_uninitialized PASSED [ 95%]
2022-05-18T04:33:35.6405596Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_uninitialized_dynamic PASSED [ 95%]
2022-05-18T04:33:35.7152536Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_uninitialized_intList PASSED [ 95%]
2022-05-18T04:33:35.7819897Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_uninitialized_tensorList PASSED [ 95%]
2022-05-18T04:33:35.8893698Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_uninitialized_tensorList_dynamic PASSED [ 96%]
2022-05-18T04:33:35.9859785Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_uninitialized_tensorList_shape PASSED [ 96%]
2022-05-18T04:33:36.0321062Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_unique PASSED [ 96%]
2022-05-18T04:33:36.0788556Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_unique_along_dim PASSED [ 96%]
2022-05-18T04:33:36.0935743Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_unsafe_chunk PASSED [ 96%]
2022-05-18T04:33:36.1218023Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_unsqueeze PASSED [ 96%]
2022-05-18T04:33:36.1432754Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_unsqueeze_dynamic_dim PASSED [ 96%]
2022-05-18T04:33:36.1454723Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_unsupported_pad SKIPPED [ 96%]
2022-05-18T04:33:36.4765141Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_var PASSED [ 97%]
2022-05-18T04:33:36.5606179Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_var_along_dims PASSED [ 97%]
2022-05-18T04:33:36.6076165Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_var_correction PASSED [ 97%]
2022-05-18T04:33:36.6906873Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_var_keepdim PASSED [ 97%]
2022-05-18T04:33:36.7511076Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_var_mean PASSED [ 97%]
2022-05-18T04:33:36.8352257Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_var_mean_along_dims PASSED [ 97%]
2022-05-18T04:33:36.8824440Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_var_mean_correction PASSED [ 97%]
2022-05-18T04:33:36.9666965Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_var_mean_keepdim PASSED [ 97%]
2022-05-18T04:33:37.0814805Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_var_mean_mixed_dims PASSED [ 98%]
2022-05-18T04:33:37.1104099Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_view PASSED [ 98%]
2022-05-18T04:33:37.1336735Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_view_as PASSED [ 98%]
2022-05-18T04:33:37.2146490Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_view_dynamic PASSED [ 98%]
2022-05-18T04:33:37.2559540Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_view_dynamic_zero_dim PASSED [ 98%]
2022-05-18T04:33:37.4143313Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_weight_norm PASSED [ 98%]
2022-05-18T04:33:37.4453357Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_weight_norm_nodim PASSED [ 98%]
2022-05-18T04:33:37.4695490Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_where PASSED [ 98%]
2022-05-18T04:33:37.5210012Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_where_condition PASSED [ 99%]
2022-05-18T04:33:37.6274714Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_where_condition_script PASSED [ 99%]
2022-05-18T04:33:37.6957483Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_where_with_bool_tensor PASSED [ 99%]
2022-05-18T04:33:37.7211523Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_where_with_byte_tensor PASSED [ 99%]
2022-05-18T04:33:37.9714757Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_word_language_model_GRU WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:33:38.0418331Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:33:38.0651856Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:33:38.1382597Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:33:38.2343361Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:33:38.2559108Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:33:38.2700452Z PASSED [ 99%]
2022-05-18T04:33:38.3383458Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_word_language_model_LSTM WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:33:38.4376505Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:33:38.4599659Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:33:38.4725339Z PASSED [ 99%]
2022-05-18T04:33:38.5346249Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_word_language_model_RNN_RELU WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:33:38.6045770Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:33:38.6111843Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:33:38.6249280Z PASSED [ 99%]
2022-05-18T04:33:38.6865122Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_word_language_model_RNN_TANH WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:33:38.7562448Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:33:38.7628719Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:33:38.7766781Z PASSED [ 99%]
2022-05-18T04:33:38.8441669Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_zeros_ones_with_tensor_input PASSED [100%]/opt/conda/lib/python3.7/site-packages/coverage/control.py:793: CoverageWarning: No data was collected. (no-data-collected)
2022-05-18T04:33:38.8442233Z   self._warn("No data was collected.", slug="no-data-collected")
2022-05-18T04:33:39.5711821Z 
2022-05-18T04:33:39.5724849Z 
2022-05-18T04:33:39.5725780Z =============================== warnings summary ===============================
2022-05-18T04:33:39.5726644Z ../.local/lib/python3.7/site-packages/torchvision/transforms/functional_pil.py:207
2022-05-18T04:33:39.5727713Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/transforms/functional_pil.py:207: DeprecationWarning: BILINEAR is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.BILINEAR instead.
2022-05-18T04:33:39.5728397Z     def resize(img, size, interpolation=Image.BILINEAR):
2022-05-18T04:33:39.5728604Z 
2022-05-18T04:33:39.5728991Z ../.local/lib/python3.7/site-packages/torchvision/transforms/functional_pil.py:280
2022-05-18T04:33:39.5729825Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/transforms/functional_pil.py:280: DeprecationWarning: BICUBIC is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.BICUBIC instead.
2022-05-18T04:33:39.5730537Z     def perspective(img, perspective_coeffs, interpolation=Image.BICUBIC, fill=None):
2022-05-18T04:33:39.5730831Z 
2022-05-18T04:33:39.5731011Z test/onnx/test_pytorch_onnx_onnxruntime.py: 58 warnings
2022-05-18T04:33:39.5731825Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/utils.py:1522: UserWarning: No names were found for specified dynamic axes of provided input.Automatically generated names will be applied to each dynamic axes of input x
2022-05-18T04:33:39.5732341Z     key
2022-05-18T04:33:39.5732462Z 
2022-05-18T04:33:39.5736176Z test/onnx/test_pytorch_onnx_onnxruntime.py: 12 warnings
2022-05-18T04:33:39.5737705Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/utils.py:1522: UserWarning: No names were found for specified dynamic axes of provided input.Automatically generated names will be applied to each dynamic axes of input input_1
2022-05-18T04:33:39.5738752Z     key
2022-05-18T04:33:39.5739221Z 
2022-05-18T04:33:39.5739650Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_arange_dynamic
2022-05-18T04:33:39.5740106Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_if_transpose
2022-05-18T04:33:39.5740524Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_if_view
2022-05-18T04:33:39.5741147Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_slice_dynamic
2022-05-18T04:33:39.5741777Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_slice_dynamic_to_end
2022-05-18T04:33:39.5743002Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/utils.py:1522: UserWarning: No names were found for specified dynamic axes of provided input.Automatically generated names will be applied to each dynamic axes of input output_1
2022-05-18T04:33:39.5743803Z     key
2022-05-18T04:33:39.5743969Z 
2022-05-18T04:33:39.5744255Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_arange_out
2022-05-18T04:33:39.5744876Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_arange_with_floats_out
2022-05-18T04:33:39.5746659Z   /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:426: UserWarning: The number of elements in the out tensor of shape [1] is 1 which does not match the computed number of elements 9. Note that this may occur as a result of rounding error. The out tensor will be resized to a tensor of shape (9,). (Triggered internally at  /var/lib/jenkins/workspace/aten/src/ATen/native/RangeFactories.cpp:187.)
2022-05-18T04:33:39.5747702Z     return callable(*args, **kwargs)
2022-05-18T04:33:39.5747908Z 
2022-05-18T04:33:39.5748183Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_arange_out
2022-05-18T04:33:39.5749347Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2709: UserWarning: The number of elements in the out tensor of shape [1] is 1 which does not match the computed number of elements 9. Note that this may occur as a result of rounding error. The out tensor will be resized to a tensor of shape (9,). (Triggered internally at  /var/lib/jenkins/workspace/aten/src/ATen/native/RangeFactories.cpp:187.)
2022-05-18T04:33:39.5750375Z     return torch.arange(end, out=out_t)
2022-05-18T04:33:39.5750597Z 
2022-05-18T04:33:39.5750883Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_arange_out
2022-05-18T04:33:39.5752028Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2708: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:33:39.5753195Z     out_t = torch.tensor([1], dtype=torch.float)
2022-05-18T04:33:39.5753439Z 
2022-05-18T04:33:39.5753741Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_arange_start_out
2022-05-18T04:33:39.5755512Z   /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:426: UserWarning: The number of elements in the out tensor of shape [1] is 1 which does not match the computed number of elements 7. Note that this may occur as a result of rounding error. The out tensor will be resized to a tensor of shape (7,). (Triggered internally at  /var/lib/jenkins/workspace/aten/src/ATen/native/RangeFactories.cpp:187.)
2022-05-18T04:33:39.5756089Z     return callable(*args, **kwargs)
2022-05-18T04:33:39.5756218Z 
2022-05-18T04:33:39.5756399Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_arange_start_out
2022-05-18T04:33:39.5757522Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2719: UserWarning: The number of elements in the out tensor of shape [1] is 1 which does not match the computed number of elements 7. Note that this may occur as a result of rounding error. The out tensor will be resized to a tensor of shape (7,). (Triggered internally at  /var/lib/jenkins/workspace/aten/src/ATen/native/RangeFactories.cpp:187.)
2022-05-18T04:33:39.5758500Z     return torch.arange(start.size(0), end, out=out_t)
2022-05-18T04:33:39.5758647Z 
2022-05-18T04:33:39.5758814Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_arange_start_out
2022-05-18T04:33:39.5759523Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2718: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:33:39.5760284Z     out_t = torch.tensor([1], dtype=torch.float)
2022-05-18T04:33:39.5760509Z 
2022-05-18T04:33:39.5760832Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_arange_with_floats_out
2022-05-18T04:33:39.5761694Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2610: UserWarning: The number of elements in the out tensor of shape [1] is 1 which does not match the computed number of elements 9. Note that this may occur as a result of rounding error. The out tensor will be resized to a tensor of shape (9,). (Triggered internally at  /var/lib/jenkins/workspace/aten/src/ATen/native/RangeFactories.cpp:187.)
2022-05-18T04:33:39.5762510Z     return torch.arange(end, out=out_t)
2022-05-18T04:33:39.5762718Z 
2022-05-18T04:33:39.5762983Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_arange_with_floats_out
2022-05-18T04:33:39.5763890Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2609: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:33:39.5764550Z     out_t = torch.tensor([1], dtype=torch.float)
2022-05-18T04:33:39.5764708Z 
2022-05-18T04:33:39.5764975Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_arange_with_floats_out
2022-05-18T04:33:39.5766392Z   /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:426: UserWarning: The number of elements in the out tensor of shape [1] is 1 which does not match the computed number of elements 5. Note that this may occur as a result of rounding error. The out tensor will be resized to a tensor of shape (5,). (Triggered internally at  /var/lib/jenkins/workspace/aten/src/ATen/native/RangeFactories.cpp:187.)
2022-05-18T04:33:39.5767488Z     return callable(*args, **kwargs)
2022-05-18T04:33:39.5767659Z 
2022-05-18T04:33:39.5767852Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_arange_with_floats_out
2022-05-18T04:33:39.5768796Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2618: UserWarning: The number of elements in the out tensor of shape [1] is 1 which does not match the computed number of elements 5. Note that this may occur as a result of rounding error. The out tensor will be resized to a tensor of shape (5,). (Triggered internally at  /var/lib/jenkins/workspace/aten/src/ATen/native/RangeFactories.cpp:187.)
2022-05-18T04:33:39.5769660Z     return torch.arange(start.size(0), end, 1.5, out=out_t)
2022-05-18T04:33:39.5769849Z 
2022-05-18T04:33:39.5770060Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_arange_with_floats_out
2022-05-18T04:33:39.5771041Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2617: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:33:39.5771973Z     out_t = torch.tensor([1], dtype=torch.float)
2022-05-18T04:33:39.5772187Z 
2022-05-18T04:33:39.5772477Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_arithmetic_prim_bool
2022-05-18T04:33:39.5773860Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2217: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:33:39.5774741Z     if z:
2022-05-18T04:33:39.5774906Z 
2022-05-18T04:33:39.5775213Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_baddbmm
2022-05-18T04:33:39.5776061Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:7625: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:33:39.5776824Z     input, batch1, batch2, alpha=torch.tensor(5), beta=3.5
2022-05-18T04:33:39.5777028Z 
2022-05-18T04:33:39.5777280Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_batched_nms
2022-05-18T04:33:39.5777806Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_multi_scale_roi_align
2022-05-18T04:33:39.5778401Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_nms
2022-05-18T04:33:39.5778919Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_roi_align
2022-05-18T04:33:39.5779660Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_roi_align_aligned
2022-05-18T04:33:39.5780841Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/symbolic_opset9.py:778: UserWarning: This model contains a squeeze operation on dimension 1. If the model is intended to be used with dynamic input shapes, please use opset version 11 to export the model.
2022-05-18T04:33:39.5781753Z     + "intended to be used with dynamic input shapes, please use opset version 11 to export the model."
2022-05-18T04:33:39.5782099Z 
2022-05-18T04:33:39.5782416Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_batchnorm1d_norunningstats
2022-05-18T04:33:39.5782794Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_batchnorm2d_norunningstats
2022-05-18T04:33:39.5784247Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/symbolic_helper.py:1139: UserWarning: ONNX export mode is set to inference mode, but operator batch_norm is set to training  mode. The operators will be exported in training , as specified by the functional operator.
2022-05-18T04:33:39.5785005Z     + ", as specified by the functional operator."
2022-05-18T04:33:39.5785183Z 
2022-05-18T04:33:39.5785375Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_batchnorm1d_norunningstats
2022-05-18T04:33:39.5785874Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_batchnorm2d_norunningstats
2022-05-18T04:33:39.5786353Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_batchnorm_training
2022-05-18T04:33:39.5786898Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_batchnorm_training_mode_fix_layer
2022-05-18T04:33:39.5787380Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_conv_bn
2022-05-18T04:33:39.5787794Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_groupnorm
2022-05-18T04:33:39.5788303Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_groupnorm_noaffine
2022-05-18T04:33:39.5788816Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_multiple_conv_bn
2022-05-18T04:33:39.5789982Z   /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:2352: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:33:39.5790710Z     if size_prods == 1:
2022-05-18T04:33:39.5790868Z 
2022-05-18T04:33:39.5791049Z test/onnx/test_pytorch_onnx_onnxruntime.py: 11 warnings
2022-05-18T04:33:39.5792976Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/utils.py:438: UserWarning: It is recommended that constant folding be turned off ('do_constant_folding=False') when exporting the model in training-amenable mode, i.e. with 'training=TrainingMode.TRAIN' or 'training=TrainingMode.PRESERVE' (when model is in training mode). Otherwise, some learnable model parameters may not translate correctly in the exported ONNX model because constant folding mutates model parameters. Please consider turning off constant folding or setting the training=TrainingMode.EVAL.
2022-05-18T04:33:39.5794463Z     "It is recommended that constant folding be turned off ('do_constant_folding=False') "
2022-05-18T04:33:39.5794771Z 
2022-05-18T04:33:39.5795086Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_binary_cross_entropy_with_logits
2022-05-18T04:33:39.5796395Z   /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:3096: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:33:39.5797186Z     if not (target.size() == input.size()):
2022-05-18T04:33:39.5797391Z 
2022-05-18T04:33:39.5797665Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_bitshift
2022-05-18T04:33:39.5798541Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:3936: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:33:39.5799215Z     input >> torch.tensor([1, 2]),
2022-05-18T04:33:39.5799420Z 
2022-05-18T04:33:39.5799682Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_bitshift_uint8
2022-05-18T04:33:39.5800855Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:3952: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:33:39.5801787Z     input2 >> torch.tensor([1, 2], dtype=torch.uint8),
2022-05-18T04:33:39.5802000Z 
2022-05-18T04:33:39.5802289Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_clip_boxes_to_image
2022-05-18T04:33:39.5803485Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/utils.py:1522: UserWarning: No names were found for specified dynamic axes of provided input.Automatically generated names will be applied to each dynamic axes of input size
2022-05-18T04:33:39.5804109Z     key
2022-05-18T04:33:39.5804277Z 
2022-05-18T04:33:39.5804591Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_clip_boxes_to_image
2022-05-18T04:33:39.5805241Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_faster_rcnn
2022-05-18T04:33:39.5805830Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_mask_rcnn
2022-05-18T04:33:39.5806524Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_roi_heads
2022-05-18T04:33:39.5807106Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_rpn
2022-05-18T04:33:39.5808754Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/ops/boxes.py:116: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:33:39.5809443Z     boxes_x = torch.max(boxes_x, torch.tensor(0, dtype=boxes.dtype, device=boxes.device))
2022-05-18T04:33:39.5809674Z 
2022-05-18T04:33:39.5809885Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_clip_boxes_to_image
2022-05-18T04:33:39.5810330Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_faster_rcnn
2022-05-18T04:33:39.5810811Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_mask_rcnn
2022-05-18T04:33:39.5811228Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_roi_heads
2022-05-18T04:33:39.5811706Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_rpn
2022-05-18T04:33:39.5812913Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/ops/boxes.py:117: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:33:39.5813939Z     boxes_x = torch.min(boxes_x, torch.tensor(width, dtype=boxes.dtype, device=boxes.device))
2022-05-18T04:33:39.5814221Z 
2022-05-18T04:33:39.5814662Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_clip_boxes_to_image
2022-05-18T04:33:39.5815274Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_faster_rcnn
2022-05-18T04:33:39.5815893Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_mask_rcnn
2022-05-18T04:33:39.5816222Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_roi_heads
2022-05-18T04:33:39.5816550Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_rpn
2022-05-18T04:33:39.5817267Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/ops/boxes.py:117: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor).
2022-05-18T04:33:39.5818023Z     boxes_x = torch.min(boxes_x, torch.tensor(width, dtype=boxes.dtype, device=boxes.device))
2022-05-18T04:33:39.5818202Z 
2022-05-18T04:33:39.5818370Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_clip_boxes_to_image
2022-05-18T04:33:39.5818746Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_faster_rcnn
2022-05-18T04:33:39.5819081Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_mask_rcnn
2022-05-18T04:33:39.5819396Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_roi_heads
2022-05-18T04:33:39.5819738Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_rpn
2022-05-18T04:33:39.5820865Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/ops/boxes.py:118: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:33:39.5821654Z     boxes_y = torch.max(boxes_y, torch.tensor(0, dtype=boxes.dtype, device=boxes.device))
2022-05-18T04:33:39.5821941Z 
2022-05-18T04:33:39.5822215Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_clip_boxes_to_image
2022-05-18T04:33:39.5822551Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_faster_rcnn
2022-05-18T04:33:39.5823008Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_mask_rcnn
2022-05-18T04:33:39.5823462Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_roi_heads
2022-05-18T04:33:39.5823946Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_rpn
2022-05-18T04:33:39.5824963Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/ops/boxes.py:119: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:33:39.5825922Z     boxes_y = torch.min(boxes_y, torch.tensor(height, dtype=boxes.dtype, device=boxes.device))
2022-05-18T04:33:39.5826267Z 
2022-05-18T04:33:39.5826584Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_clip_boxes_to_image
2022-05-18T04:33:39.5827217Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_faster_rcnn
2022-05-18T04:33:39.5827778Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_mask_rcnn
2022-05-18T04:33:39.5828404Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_roi_heads
2022-05-18T04:33:39.5828845Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_rpn
2022-05-18T04:33:39.5829710Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/ops/boxes.py:119: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor).
2022-05-18T04:33:39.5830477Z     boxes_y = torch.min(boxes_y, torch.tensor(height, dtype=boxes.dtype, device=boxes.device))
2022-05-18T04:33:39.5830778Z 
2022-05-18T04:33:39.5830962Z test/onnx/test_pytorch_onnx_onnxruntime.py: 13 warnings
2022-05-18T04:33:39.5831731Z   /opt/conda/lib/python3.7/site-packages/torch/jit/_trace.py:745: UserWarning: The input to trace is already a ScriptModule, tracing it is a no-op. Returning the object as is.
2022-05-18T04:33:39.5832519Z     "The input to trace is already a ScriptModule, tracing it is a no-op. Returning the object as is."
2022-05-18T04:33:39.5832815Z 
2022-05-18T04:33:39.5833061Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_derive_index
2022-05-18T04:33:39.5833838Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:9340: TracerWarning: Using len to get tensor shape might cause the trace to be incorrect. Recommended usage would be tensor.shape[0]. Passing a tensor of different shape might lead to errors or silently give incorrect results.
2022-05-18T04:33:39.5834654Z     for idx in range(len(x) - 1, -len(x), -2):
2022-05-18T04:33:39.5834864Z 
2022-05-18T04:33:39.5835098Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_derive_index
2022-05-18T04:33:39.5835896Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:9351: TracerWarning: Using len to get tensor shape might cause the trace to be incorrect. Recommended usage would be tensor.shape[0]. Passing a tensor of different shape might lead to errors or silently give incorrect results.
2022-05-18T04:33:39.5836674Z     for idx in range(-len(x), len(x) - 1, 2):
2022-05-18T04:33:39.5836878Z 
2022-05-18T04:33:39.5837129Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_derive_index
2022-05-18T04:33:39.5837874Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:9362: TracerWarning: Using len to get tensor shape might cause the trace to be incorrect. Recommended usage would be tensor.shape[0]. Passing a tensor of different shape might lead to errors or silently give incorrect results.
2022-05-18T04:33:39.5838567Z     for idx in range(len(x) - 1, -len(x), -3):
2022-05-18T04:33:39.5838720Z 
2022-05-18T04:33:39.5838909Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_derive_index
2022-05-18T04:33:39.5839604Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:9372: TracerWarning: Using len to get tensor shape might cause the trace to be incorrect. Recommended usage would be tensor.shape[0]. Passing a tensor of different shape might lead to errors or silently give incorrect results.
2022-05-18T04:33:39.5840231Z     for idx in range(-len(x), len(x) - 1, 3):
2022-05-18T04:33:39.5840401Z 
2022-05-18T04:33:39.5840598Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_derive_index_scripting
2022-05-18T04:33:39.5841359Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:9296: TracerWarning: Using len to get tensor shape might cause the trace to be incorrect. Recommended usage would be tensor.shape[0]. Passing a tensor of different shape might lead to errors or silently give incorrect results.
2022-05-18T04:33:39.5842018Z     for idx in range(len(x) - 1, -len(x), -2):
2022-05-18T04:33:39.5842198Z 
2022-05-18T04:33:39.5842450Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_derive_index_scripting
2022-05-18T04:33:39.5843244Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:9307: TracerWarning: Using len to get tensor shape might cause the trace to be incorrect. Recommended usage would be tensor.shape[0]. Passing a tensor of different shape might lead to errors or silently give incorrect results.
2022-05-18T04:33:39.5843974Z     for idx in range(-len(x), len(x) - 1, 2):
2022-05-18T04:33:39.5844166Z 
2022-05-18T04:33:39.5844437Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_derive_index_scripting
2022-05-18T04:33:39.5845243Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:9318: TracerWarning: Using len to get tensor shape might cause the trace to be incorrect. Recommended usage would be tensor.shape[0]. Passing a tensor of different shape might lead to errors or silently give incorrect results.
2022-05-18T04:33:39.5845939Z     for idx in range(len(x) - 1, -len(x), -3):
2022-05-18T04:33:39.5846121Z 
2022-05-18T04:33:39.5846339Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_derive_index_scripting
2022-05-18T04:33:39.5847211Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:9328: TracerWarning: Using len to get tensor shape might cause the trace to be incorrect. Recommended usage would be tensor.shape[0]. Passing a tensor of different shape might lead to errors or silently give incorrect results.
2022-05-18T04:33:39.5848083Z     for idx in range(-len(x), len(x) - 1, 3):
2022-05-18T04:33:39.5848269Z 
2022-05-18T04:33:39.5848491Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_dist_normal
2022-05-18T04:33:39.5848993Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_dist_normal_correctness
2022-05-18T04:33:39.5850125Z   /opt/conda/lib/python3.7/site-packages/torch/distributions/distribution.py:54: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:33:39.5850654Z     if not valid.all():
2022-05-18T04:33:39.5850838Z 
2022-05-18T04:33:39.5851024Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_dist_uniform
2022-05-18T04:33:39.5851470Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_dist_uniform_correctness
2022-05-18T04:33:39.5852377Z   /opt/conda/lib/python3.7/site-packages/torch/distributions/uniform.py:55: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:33:39.5853110Z     if self._validate_args and not torch.lt(self.low, self.high).all():
2022-05-18T04:33:39.5853277Z 
2022-05-18T04:33:39.5853443Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_dropout_training
2022-05-18T04:33:39.5853848Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_dropout_training_zero
2022-05-18T04:33:39.5854640Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/symbolic_opset12.py:57: UserWarning: Dropout is a training op and should not be exported in inference mode. For inference, make sure to call eval() on the model and to export it with param training=False.
2022-05-18T04:33:39.5855127Z     "Dropout is a training op and should not be exported in inference mode. "
2022-05-18T04:33:39.5855285Z 
2022-05-18T04:33:39.5855455Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_dynamic_arange_out
2022-05-18T04:33:39.5856381Z   /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:426: UserWarning: The number of elements in the out tensor of shape [1] is 1 which does not match the computed number of elements 8. Note that this may occur as a result of rounding error. The out tensor will be resized to a tensor of shape (8,). (Triggered internally at  /var/lib/jenkins/workspace/aten/src/ATen/native/RangeFactories.cpp:187.)
2022-05-18T04:33:39.5856949Z     return callable(*args, **kwargs)
2022-05-18T04:33:39.5857076Z 
2022-05-18T04:33:39.5857243Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_dynamic_arange_out
2022-05-18T04:33:39.5857882Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2561: UserWarning: The number of elements in the out tensor of shape [1] is 1 which does not match the computed number of elements 8. Note that this may occur as a result of rounding error. The out tensor will be resized to a tensor of shape (8,). (Triggered internally at  /var/lib/jenkins/workspace/aten/src/ATen/native/RangeFactories.cpp:187.)
2022-05-18T04:33:39.5858510Z     return torch.arange(end, out=out_t)
2022-05-18T04:33:39.5858643Z 
2022-05-18T04:33:39.5858810Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_dynamic_arange_out
2022-05-18T04:33:39.5859434Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2560: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:33:39.5860061Z     out_t = torch.tensor([1], dtype=torch.int64)
2022-05-18T04:33:39.5860204Z 
2022-05-18T04:33:39.5860366Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_dynamic_arange_start_out
2022-05-18T04:33:39.5861293Z   /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:426: UserWarning: The number of elements in the out tensor of shape [1] is 1 which does not match the computed number of elements 6. Note that this may occur as a result of rounding error. The out tensor will be resized to a tensor of shape (6,). (Triggered internally at  /var/lib/jenkins/workspace/aten/src/ATen/native/RangeFactories.cpp:187.)
2022-05-18T04:33:39.5862023Z     return callable(*args, **kwargs)
2022-05-18T04:33:39.5862188Z 
2022-05-18T04:33:39.5862458Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_dynamic_arange_start_out
2022-05-18T04:33:39.5863307Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2571: UserWarning: The number of elements in the out tensor of shape [1] is 1 which does not match the computed number of elements 6. Note that this may occur as a result of rounding error. The out tensor will be resized to a tensor of shape (6,). (Triggered internally at  /var/lib/jenkins/workspace/aten/src/ATen/native/RangeFactories.cpp:187.)
2022-05-18T04:33:39.5864252Z     return torch.arange(start.size(0), end, out=out_t)
2022-05-18T04:33:39.5864494Z 
2022-05-18T04:33:39.5864670Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_dynamic_arange_start_out
2022-05-18T04:33:39.5865294Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2570: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:33:39.5865832Z     out_t = torch.tensor([1], dtype=torch.int64)
2022-05-18T04:33:39.5865973Z 
2022-05-18T04:33:39.5866135Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_dynamic_chunk
2022-05-18T04:33:39.5866936Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:6019: TracerWarning: Converting a tensor to a Python integer might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:33:39.5867433Z     return torch.chunk(x, x.size(0), dim=self.dim)
2022-05-18T04:33:39.5867574Z 
2022-05-18T04:33:39.5867740Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_dynamic_expand_as
2022-05-18T04:33:39.5868483Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:4515: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:33:39.5869190Z     x[:, x.size(0) :] = torch.tensor([1, 2, 3])
2022-05-18T04:33:39.5869433Z 
2022-05-18T04:33:39.5869727Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_dynamic_repeat_interleave
2022-05-18T04:33:39.5870345Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:5482: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:33:39.5870862Z     repeats = torch.tensor(4)
2022-05-18T04:33:39.5870983Z 
2022-05-18T04:33:39.5871202Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_dynamic_repeat_interleave
2022-05-18T04:33:39.5871823Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:5497: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:33:39.5872319Z     repeats = torch.tensor(4)
2022-05-18T04:33:39.5872440Z 
2022-05-18T04:33:39.5872615Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_dynamic_repeat_interleave
2022-05-18T04:33:39.5873228Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:5512: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:33:39.5873737Z     repeats = torch.tensor([4])
2022-05-18T04:33:39.5873862Z 
2022-05-18T04:33:39.5873983Z test/onnx/test_pytorch_onnx_onnxruntime.py: 129 warnings
2022-05-18T04:33:39.5874809Z   /opt/conda/lib/python3.7/site-packages/torch/nn/utils/rnn.py:250: TracerWarning: torch.as_tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:33:39.5875361Z     lengths = torch.as_tensor(lengths, dtype=torch.int64)
2022-05-18T04:33:39.5875511Z 
2022-05-18T04:33:39.5875630Z test/onnx/test_pytorch_onnx_onnxruntime.py: 65 warnings
2022-05-18T04:33:39.5876431Z   /opt/conda/lib/python3.7/site-packages/torch/nn/modules/rnn.py:436: TracerWarning: Converting a tensor to a Python integer might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:33:39.5876930Z     max_batch_size = int(batch_sizes[0])
2022-05-18T04:33:39.5877047Z 
2022-05-18T04:33:39.5877167Z test/onnx/test_pytorch_onnx_onnxruntime.py: 208 warnings
2022-05-18T04:33:39.5877911Z   /opt/conda/lib/python3.7/site-packages/torch/nn/modules/rnn.py:204: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:33:39.5878444Z     if self.input_size != input.size(-1):
2022-05-18T04:33:39.5878619Z 
2022-05-18T04:33:39.5878770Z test/onnx/test_pytorch_onnx_onnxruntime.py: 129 warnings
2022-05-18T04:33:39.5879538Z   /opt/conda/lib/python3.7/site-packages/torch/nn/modules/rnn.py:211: TracerWarning: Converting a tensor to a Python integer might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:33:39.5880067Z     mini_batch = int(batch_sizes[0])
2022-05-18T04:33:39.5880309Z 
2022-05-18T04:33:39.5896770Z test/onnx/test_pytorch_onnx_onnxruntime.py: 208 warnings
2022-05-18T04:33:39.5897720Z   /opt/conda/lib/python3.7/site-packages/torch/nn/modules/rnn.py:225: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:33:39.5898333Z     if hx.size() != expected_hidden_size:
2022-05-18T04:33:39.5898472Z 
2022-05-18T04:33:39.5898600Z test/onnx/test_pytorch_onnx_onnxruntime.py: 129 warnings
2022-05-18T04:33:39.5899493Z   /opt/conda/lib/python3.7/site-packages/torch/nn/utils/rnn.py:330: TracerWarning: Converting a tensor to a Python integer might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:33:39.5900049Z     sequence.data, sequence.batch_sizes, batch_first, padding_value, max_seq_length)
2022-05-18T04:33:39.5900224Z 
2022-05-18T04:33:39.5900349Z test/onnx/test_pytorch_onnx_onnxruntime.py: 49 warnings
2022-05-18T04:33:39.5901155Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/symbolic_opset9.py:3097: UserWarning: Exporting a model to ONNX with a batch_size other than 1, with a variable length with RNN_RELU can cause an error when running the ONNX model with a different batch size. Make sure to save the model with a batch size of 1, or define the initial states (h0/c0) as inputs of the model. 
2022-05-18T04:33:39.5901725Z     + "or define the initial states (h0/c0) as inputs of the model. "
2022-05-18T04:33:39.5901894Z 
2022-05-18T04:33:39.5902018Z test/onnx/test_pytorch_onnx_onnxruntime.py: 48 warnings
2022-05-18T04:33:39.5902659Z   /opt/conda/lib/python3.7/site-packages/torch/nn/modules/rnn.py:65: UserWarning: dropout option adds dropout after all but last recurrent layer, so non-zero dropout expects num_layers greater than 1, but got dropout=0.2 and num_layers=1
2022-05-18T04:33:39.5903093Z     "num_layers={}".format(dropout, num_layers))
2022-05-18T04:33:39.5903234Z 
2022-05-18T04:33:39.5903375Z test/onnx/test_pytorch_onnx_onnxruntime.py: 51 warnings
2022-05-18T04:33:39.5904181Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/symbolic_opset9.py:3097: UserWarning: Exporting a model to ONNX with a batch_size other than 1, with a variable length with RNN_TANH can cause an error when running the ONNX model with a different batch size. Make sure to save the model with a batch size of 1, or define the initial states (h0/c0) as inputs of the model. 
2022-05-18T04:33:39.5904744Z     + "or define the initial states (h0/c0) as inputs of the model. "
2022-05-18T04:33:39.5904891Z 
2022-05-18T04:33:39.5905064Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_embedding
2022-05-18T04:33:39.5905417Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_embedding_module
2022-05-18T04:33:39.5906215Z   /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:2130: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:33:39.5906764Z     assert padding_idx < weight.size(0), "Padding_idx must be within num_embeddings"
2022-05-18T04:33:39.5906950Z 
2022-05-18T04:33:39.5907098Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_embedding
2022-05-18T04:33:39.5907770Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/symbolic_opset9.py:538: UserWarning: Warning: ONNX export of embedding with padding_idx >= 0 for training mode. ONNX does not support not updating the embedding vector at padding_idx during training.
2022-05-18T04:33:39.5908237Z     "Warning: ONNX export of embedding with padding_idx >= 0 "
2022-05-18T04:33:39.5908395Z 
2022-05-18T04:33:39.5908581Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_embedding_bag_1d_per_sample_weights
2022-05-18T04:33:39.5908956Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_embedding_bag_2d_per_sample_weights
2022-05-18T04:33:39.5909768Z   /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:2269: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:33:39.5910355Z     if per_sample_weights is not None and input.size() != per_sample_weights.size():
2022-05-18T04:33:39.5910534Z 
2022-05-18T04:33:39.5910717Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_embedding_bag_2d_per_sample_weights
2022-05-18T04:33:39.5911365Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/utils.py:1522: UserWarning: No names were found for specified dynamic axes of provided input.Automatically generated names will be applied to each dynamic axes of input w
2022-05-18T04:33:39.5911728Z     key
2022-05-18T04:33:39.5911823Z 
2022-05-18T04:33:39.5911972Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_eye
2022-05-18T04:33:39.5912758Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:6400: TracerWarning: Converting a tensor to a Python integer might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:33:39.5913243Z     torch.eye(x.size()[1], 3),
2022-05-18T04:33:39.5913371Z 
2022-05-18T04:33:39.5913512Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_eye
2022-05-18T04:33:39.5914336Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:6402: TracerWarning: Converting a tensor to a Python integer might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:33:39.5914846Z     torch.eye(x.size()[1], 2, dtype=torch.long),
2022-05-18T04:33:39.5914988Z 
2022-05-18T04:33:39.5915142Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_eye
2022-05-18T04:33:39.5915925Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:6403: TracerWarning: Converting a tensor to a Python integer might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:33:39.5916402Z     torch.eye(x.shape[0]),
2022-05-18T04:33:39.5916524Z 
2022-05-18T04:33:39.5916700Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_eye
2022-05-18T04:33:39.5917611Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:6404: TracerWarning: Converting a tensor to a Python integer might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:33:39.5923236Z     torch.eye(x.shape[0], dtype=torch.float64),
2022-05-18T04:33:39.5923375Z 
2022-05-18T04:33:39.5923550Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_fake_quantize_activation
2022-05-18T04:33:39.5923896Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_qat_conv2d
2022-05-18T04:33:39.5924227Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_qat_conv2d_relu
2022-05-18T04:33:39.5924569Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_qat_conv2d_relu_fused
2022-05-18T04:33:39.5924910Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_qat_linear_per_channel
2022-05-18T04:33:39.5925248Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_qat_maxpool2d
2022-05-18T04:33:39.5925567Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_qat_relu
2022-05-18T04:33:39.5926206Z   /opt/conda/lib/python3.7/site-packages/torch/ao/quantization/observer.py:178: UserWarning: Please use quant_min and quant_max to specify the range for observers.                     reduce_range will be deprecated in a future release of PyTorch.
2022-05-18T04:33:39.5926640Z     reduce_range will be deprecated in a future release of PyTorch."
2022-05-18T04:33:39.5926841Z 
2022-05-18T04:33:39.5927279Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_fake_quantize_activation
2022-05-18T04:33:39.5927810Z   /opt/conda/lib/python3.7/site-packages/torch/ao/quantization/utils.py:281: UserWarning: must run observer before calling calculate_qparams. Returning default values.
2022-05-18T04:33:39.5928175Z     "must run observer before calling calculate_qparams. " +
2022-05-18T04:33:39.5928322Z 
2022-05-18T04:33:39.5928491Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_fake_quantize_activation
2022-05-18T04:33:39.5929295Z   /opt/conda/lib/python3.7/site-packages/torch/ao/quantization/fake_quantize.py:159: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:33:39.5929792Z     if self.observer_enabled[0] == 1:
2022-05-18T04:33:39.5929915Z 
2022-05-18T04:33:39.5930083Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_fake_quantize_activation
2022-05-18T04:33:39.5930914Z   /opt/conda/lib/python3.7/site-packages/torch/ao/quantization/fake_quantize.py:169: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:33:39.5931405Z     if self.fake_quant_enabled[0] == 1:
2022-05-18T04:33:39.5931528Z 
2022-05-18T04:33:39.5931681Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_faster_rcnn
2022-05-18T04:33:39.5932357Z   /opt/conda/lib/python3.7/site-packages/torch/functional.py:478: UserWarning: torch.meshgrid: in an upcoming release, it will be required to pass the indexing argument. (Triggered internally at  /var/lib/jenkins/workspace/aten/src/ATen/native/TensorShape.cpp:2904.)
2022-05-18T04:33:39.5932895Z     return _VF.meshgrid(tensors, **kwargs)  # type: ignore[attr-defined]
2022-05-18T04:33:39.5933053Z 
2022-05-18T04:33:39.5933211Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_faster_rcnn
2022-05-18T04:33:39.5933533Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_mask_rcnn
2022-05-18T04:33:39.5933858Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_transform_images
2022-05-18T04:33:39.5934966Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/detection/transform.py:126: TracerWarning: torch.as_tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:33:39.5935567Z     mean = torch.as_tensor(self.image_mean, dtype=dtype, device=device)
2022-05-18T04:33:39.5935724Z 
2022-05-18T04:33:39.5935885Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_faster_rcnn
2022-05-18T04:33:39.5936210Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_mask_rcnn
2022-05-18T04:33:39.5936538Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_transform_images
2022-05-18T04:33:39.5937418Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/detection/transform.py:127: TracerWarning: torch.as_tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:33:39.5938061Z     std = torch.as_tensor(self.image_std, dtype=dtype, device=device)
2022-05-18T04:33:39.5938290Z 
2022-05-18T04:33:39.5938445Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_faster_rcnn
2022-05-18T04:33:39.5938799Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_interpolate_adaptive_pooling_error
2022-05-18T04:33:39.5939147Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_mask_rcnn
2022-05-18T04:33:39.5939469Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_resize_images
2022-05-18T04:33:39.5939795Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_transform_images
2022-05-18T04:33:39.5940621Z   /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:3846: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:33:39.5941117Z     for i in range(dim)
2022-05-18T04:33:39.5941221Z 
2022-05-18T04:33:39.5941373Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_faster_rcnn
2022-05-18T04:33:39.5941690Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_mask_rcnn
2022-05-18T04:33:39.5942074Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_resize_images
2022-05-18T04:33:39.5942422Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_transform_images
2022-05-18T04:33:39.5943121Z   /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:3846: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor).
2022-05-18T04:33:39.5943540Z     for i in range(dim)
2022-05-18T04:33:39.5943652Z 
2022-05-18T04:33:39.5943797Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_faster_rcnn
2022-05-18T04:33:39.5944137Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_mask_rcnn
2022-05-18T04:33:39.5944467Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_roi_heads
2022-05-18T04:33:39.5944795Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_rpn
2022-05-18T04:33:39.5945758Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/detection/anchor_utils.py:148: UserWarning: __floordiv__ is deprecated, and its behavior will change in a future version of pytorch. It currently rounds toward 0 (like the 'trunc' function NOT 'floor'). This results in incorrect rounding for negative values. To keep the current behavior, use torch.div(a, b, rounding_mode='trunc'), or for actual floor division, use torch.div(a, b, rounding_mode='floor').
2022-05-18T04:33:39.5946432Z     torch.tensor(image_size[1] // g[1], dtype=torch.int64, device=device)] for g in grid_sizes]
2022-05-18T04:33:39.5946699Z 
2022-05-18T04:33:39.5946942Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_faster_rcnn
2022-05-18T04:33:39.5947571Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_mask_rcnn
2022-05-18T04:33:39.5947991Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_roi_heads
2022-05-18T04:33:39.5948308Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_rpn
2022-05-18T04:33:39.5949189Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/detection/anchor_utils.py:148: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:33:39.5949802Z     torch.tensor(image_size[1] // g[1], dtype=torch.int64, device=device)] for g in grid_sizes]
2022-05-18T04:33:39.5950034Z 
2022-05-18T04:33:39.5950195Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_faster_rcnn
2022-05-18T04:33:39.5950516Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_mask_rcnn
2022-05-18T04:33:39.5950847Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_roi_heads
2022-05-18T04:33:39.5951174Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_rpn
2022-05-18T04:33:39.5951911Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/detection/anchor_utils.py:148: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor).
2022-05-18T04:33:39.5952428Z     torch.tensor(image_size[1] // g[1], dtype=torch.int64, device=device)] for g in grid_sizes]
2022-05-18T04:33:39.5952609Z 
2022-05-18T04:33:39.5952771Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_faster_rcnn
2022-05-18T04:33:39.5953105Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_mask_rcnn
2022-05-18T04:33:39.5954030Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/detection/anchor_utils.py:61: TracerWarning: torch.as_tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:33:39.5954628Z     scales = torch.as_tensor(scales, dtype=dtype, device=device)
2022-05-18T04:33:39.5954773Z 
2022-05-18T04:33:39.5954931Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_faster_rcnn
2022-05-18T04:33:39.5955262Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_mask_rcnn
2022-05-18T04:33:39.5956144Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/detection/anchor_utils.py:62: TracerWarning: torch.as_tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:33:39.5956754Z     aspect_ratios = torch.as_tensor(aspect_ratios, dtype=dtype, device=device)
2022-05-18T04:33:39.5956927Z 
2022-05-18T04:33:39.5957074Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_faster_rcnn
2022-05-18T04:33:39.5957412Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_mask_rcnn
2022-05-18T04:33:39.5957743Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_roi_heads
2022-05-18T04:33:39.5958066Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_rpn
2022-05-18T04:33:39.5958881Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/detection/anchor_utils.py:136: TracerWarning: Converting a tensor to a Python integer might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:33:39.5959406Z     key = str(grid_sizes) + str(strides)
2022-05-18T04:33:39.5959535Z 
2022-05-18T04:33:39.5959698Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_faster_rcnn
2022-05-18T04:33:39.5960029Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_mask_rcnn
2022-05-18T04:33:39.5960347Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_roi_heads
2022-05-18T04:33:39.5960667Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_rpn
2022-05-18T04:33:39.5961439Z   /opt/conda/lib/python3.7/site-packages/torch/_tensor_str.py:424: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:33:39.5961973Z     if self.numel() == 0 and not self.is_sparse:
2022-05-18T04:33:39.5962108Z 
2022-05-18T04:33:39.5962258Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_faster_rcnn
2022-05-18T04:33:39.5962589Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_mask_rcnn
2022-05-18T04:33:39.5962918Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_roi_heads
2022-05-18T04:33:39.5963245Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_rpn
2022-05-18T04:33:39.5964001Z   /opt/conda/lib/python3.7/site-packages/torch/_tensor_str.py:237: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:33:39.5964473Z     if self.numel() == 0:
2022-05-18T04:33:39.5964589Z 
2022-05-18T04:33:39.5964746Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_faster_rcnn
2022-05-18T04:33:39.5965118Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_mask_rcnn
2022-05-18T04:33:39.5965434Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_roi_heads
2022-05-18T04:33:39.5965756Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_rpn
2022-05-18T04:33:39.5966512Z   /opt/conda/lib/python3.7/site-packages/torch/_tensor_str.py:270: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:33:39.5967039Z     formatter = _Formatter(get_summarized_data(self) if summarize else self)
2022-05-18T04:33:39.5967212Z 
2022-05-18T04:33:39.5967361Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_faster_rcnn
2022-05-18T04:33:39.5967700Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_mask_rcnn
2022-05-18T04:33:39.5968027Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_roi_heads
2022-05-18T04:33:39.5968351Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_rpn
2022-05-18T04:33:39.5969052Z   /opt/conda/lib/python3.7/site-packages/torch/_tensor_str.py:98: TracerWarning: Iterating over a tensor might cause the trace to be incorrect. Passing a tensor of different shape won't change the number of iterations executed (and might lead to errors or silently give incorrect results).
2022-05-18T04:33:39.5969502Z     for value in tensor_view:
2022-05-18T04:33:39.5969621Z 
2022-05-18T04:33:39.5969781Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_faster_rcnn
2022-05-18T04:33:39.5970115Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_mask_rcnn
2022-05-18T04:33:39.5970428Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_roi_heads
2022-05-18T04:33:39.5970754Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_rpn
2022-05-18T04:33:39.5971513Z   /opt/conda/lib/python3.7/site-packages/torch/_tensor.py:662: TracerWarning: Converting a tensor to a Python number might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:33:39.5972008Z     return self.item().__format__(format_spec)
2022-05-18T04:33:39.5972145Z 
2022-05-18T04:33:39.5972292Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_faster_rcnn
2022-05-18T04:33:39.5972625Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_mask_rcnn
2022-05-18T04:33:39.5972987Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_roi_heads
2022-05-18T04:33:39.5973312Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_rpn
2022-05-18T04:33:39.5974069Z   /opt/conda/lib/python3.7/site-packages/torch/_tensor_str.py:176: TracerWarning: Converting a tensor to a Python number might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:33:39.5974754Z     return formatter1.format(self.item())
2022-05-18T04:33:39.5974892Z 
2022-05-18T04:33:39.5975053Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_faster_rcnn
2022-05-18T04:33:39.5975386Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_mask_rcnn
2022-05-18T04:33:39.5975700Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_roi_heads
2022-05-18T04:33:39.5976028Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_rpn
2022-05-18T04:33:39.5977199Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/detection/rpn.py:85: UserWarning: __floordiv__ is deprecated, and its behavior will change in a future version of pytorch. It currently rounds toward 0 (like the 'trunc' function NOT 'floor'). This results in incorrect rounding for negative values. To keep the current behavior, use torch.div(a, b, rounding_mode='trunc'), or for actual floor division, use torch.div(a, b, rounding_mode='floor').
2022-05-18T04:33:39.5977798Z     A = Ax4 // 4
2022-05-18T04:33:39.5977971Z 
2022-05-18T04:33:39.5978124Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_faster_rcnn
2022-05-18T04:33:39.5978459Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_mask_rcnn
2022-05-18T04:33:39.5978788Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_roi_heads
2022-05-18T04:33:39.5979120Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_rpn
2022-05-18T04:33:39.5980088Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/detection/rpn.py:86: UserWarning: __floordiv__ is deprecated, and its behavior will change in a future version of pytorch. It currently rounds toward 0 (like the 'trunc' function NOT 'floor'). This results in incorrect rounding for negative values. To keep the current behavior, use torch.div(a, b, rounding_mode='trunc'), or for actual floor division, use torch.div(a, b, rounding_mode='floor').
2022-05-18T04:33:39.5980664Z     C = AxC // A
2022-05-18T04:33:39.5980771Z 
2022-05-18T04:33:39.5980933Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_faster_rcnn
2022-05-18T04:33:39.5981273Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_mask_rcnn
2022-05-18T04:33:39.5981592Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_roi_heads
2022-05-18T04:33:39.5981920Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_rpn
2022-05-18T04:33:39.5982730Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/detection/_utils.py:177: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:33:39.5983219Z     if box_sum > 0:
2022-05-18T04:33:39.5983326Z 
2022-05-18T04:33:39.5983487Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_faster_rcnn
2022-05-18T04:33:39.5983809Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_mask_rcnn
2022-05-18T04:33:39.5984140Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_roi_heads
2022-05-18T04:33:39.5984464Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_rpn
2022-05-18T04:33:39.5985383Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/detection/_utils.py:218: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:33:39.5986092Z     pred_boxes1 = pred_ctr_x - torch.tensor(0.5, dtype=pred_ctr_x.dtype, device=pred_w.device) * pred_w
2022-05-18T04:33:39.5986287Z 
2022-05-18T04:33:39.5986446Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_faster_rcnn
2022-05-18T04:33:39.5986780Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_mask_rcnn
2022-05-18T04:33:39.5987104Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_roi_heads
2022-05-18T04:33:39.5987414Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_rpn
2022-05-18T04:33:39.5988323Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/detection/_utils.py:219: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:33:39.5989026Z     pred_boxes2 = pred_ctr_y - torch.tensor(0.5, dtype=pred_ctr_y.dtype, device=pred_h.device) * pred_h
2022-05-18T04:33:39.5989219Z 
2022-05-18T04:33:39.5989379Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_faster_rcnn
2022-05-18T04:33:39.5989701Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_mask_rcnn
2022-05-18T04:33:39.5990031Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_roi_heads
2022-05-18T04:33:39.5990359Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_rpn
2022-05-18T04:33:39.5991232Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/detection/_utils.py:220: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:33:39.5991838Z     pred_boxes3 = pred_ctr_x + torch.tensor(0.5, dtype=pred_ctr_x.dtype, device=pred_w.device) * pred_w
2022-05-18T04:33:39.5992028Z 
2022-05-18T04:33:39.5992187Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_faster_rcnn
2022-05-18T04:33:39.5992522Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_mask_rcnn
2022-05-18T04:33:39.5992851Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_roi_heads
2022-05-18T04:33:39.5993167Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_rpn
2022-05-18T04:33:39.5994037Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/detection/_utils.py:221: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:33:39.5994659Z     pred_boxes4 = pred_ctr_y + torch.tensor(0.5, dtype=pred_ctr_y.dtype, device=pred_h.device) * pred_h
2022-05-18T04:33:39.5994852Z 
2022-05-18T04:33:39.5995014Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_faster_rcnn
2022-05-18T04:33:39.5995350Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_mask_rcnn
2022-05-18T04:33:39.5995666Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_roi_heads
2022-05-18T04:33:39.5996034Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_rpn
2022-05-18T04:33:39.5996850Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/detection/_utils.py:182: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:33:39.5997346Z     if box_sum > 0:
2022-05-18T04:33:39.5997439Z 
2022-05-18T04:33:39.5997596Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_faster_rcnn
2022-05-18T04:33:39.5997927Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_mask_rcnn
2022-05-18T04:33:39.5998251Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_roi_heads
2022-05-18T04:33:39.5998562Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_rpn
2022-05-18T04:33:39.5999467Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/detection/rpn.py:24: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:33:39.6000047Z     (torch.tensor([orig_pre_nms_top_n], dtype=num_anchors.dtype),
2022-05-18T04:33:39.6000209Z 
2022-05-18T04:33:39.6000370Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_faster_rcnn
2022-05-18T04:33:39.6000703Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_mask_rcnn
2022-05-18T04:33:39.6001019Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_roi_heads
2022-05-18T04:33:39.6001345Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_rpn
2022-05-18T04:33:39.6002158Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/detection/rpn.py:225: TracerWarning: Converting a tensor to a Python integer might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:33:39.6002692Z     _, top_n_idx = ob.topk(pre_nms_top_n, dim=1)
2022-05-18T04:33:39.6002828Z 
2022-05-18T04:33:39.6002974Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_faster_rcnn
2022-05-18T04:33:39.6003305Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_mask_rcnn
2022-05-18T04:33:39.6003634Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_roi_heads
2022-05-18T04:33:39.6003956Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_rpn
2022-05-18T04:33:39.6004703Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/detection/rpn.py:259: TracerWarning: Iterating over a tensor might cause the trace to be incorrect. Passing a tensor of different shape won't change the number of iterations executed (and might lead to errors or silently give incorrect results).
2022-05-18T04:33:39.6005265Z     for boxes, scores, lvl, img_shape in zip(proposals, objectness_prob, levels, image_shapes):
2022-05-18T04:33:39.6005450Z 
2022-05-18T04:33:39.6005610Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_faster_rcnn
2022-05-18T04:33:39.6005947Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_mask_rcnn
2022-05-18T04:33:39.6006739Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/ops/poolers.py:178: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:33:39.6007278Z     max_x = max(shape[0], max_x)
2022-05-18T04:33:39.6007400Z 
2022-05-18T04:33:39.6007559Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_faster_rcnn
2022-05-18T04:33:39.6007894Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_mask_rcnn
2022-05-18T04:33:39.6008685Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/ops/poolers.py:179: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:33:39.6009177Z     max_y = max(shape[1], max_y)
2022-05-18T04:33:39.6009295Z 
2022-05-18T04:33:39.6009455Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_faster_rcnn
2022-05-18T04:33:39.6009787Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_mask_rcnn
2022-05-18T04:33:39.6010118Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_multi_scale_roi_align
2022-05-18T04:33:39.6010954Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/ops/poolers.py:163: TracerWarning: Converting a tensor to a Python float might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:33:39.6011461Z     approx_scale = float(s1) / float(s2)
2022-05-18T04:33:39.6011591Z 
2022-05-18T04:33:39.6011753Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_faster_rcnn
2022-05-18T04:33:39.6012089Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_mask_rcnn
2022-05-18T04:33:39.6012419Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_multi_scale_roi_align
2022-05-18T04:33:39.6013290Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/ops/poolers.py:164: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:33:39.6013863Z     scale = 2 ** float(torch.tensor(approx_scale).log2().round())
2022-05-18T04:33:39.6014018Z 
2022-05-18T04:33:39.6014178Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_faster_rcnn
2022-05-18T04:33:39.6014642Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_mask_rcnn
2022-05-18T04:33:39.6014995Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_multi_scale_roi_align
2022-05-18T04:33:39.6015815Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/ops/poolers.py:164: TracerWarning: Converting a tensor to a Python float might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:33:39.6016348Z     scale = 2 ** float(torch.tensor(approx_scale).log2().round())
2022-05-18T04:33:39.6016499Z 
2022-05-18T04:33:39.6016652Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_faster_rcnn
2022-05-18T04:33:39.6016993Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_mask_rcnn
2022-05-18T04:33:39.6017340Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_multi_scale_roi_align
2022-05-18T04:33:39.6018296Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/ops/poolers.py:185: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:33:39.6019026Z     lvl_min = -torch.log2(torch.tensor(scales[0], dtype=torch.float32)).item()
2022-05-18T04:33:39.6019185Z 
2022-05-18T04:33:39.6019345Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_faster_rcnn
2022-05-18T04:33:39.6019685Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_mask_rcnn
2022-05-18T04:33:39.6020029Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_multi_scale_roi_align
2022-05-18T04:33:39.6020839Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/ops/poolers.py:185: TracerWarning: Converting a tensor to a Python number might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:33:39.6021439Z     lvl_min = -torch.log2(torch.tensor(scales[0], dtype=torch.float32)).item()
2022-05-18T04:33:39.6021613Z 
2022-05-18T04:33:39.6021774Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_faster_rcnn
2022-05-18T04:33:39.6022111Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_mask_rcnn
2022-05-18T04:33:39.6022508Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_multi_scale_roi_align
2022-05-18T04:33:39.6023356Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/ops/poolers.py:186: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:33:39.6024005Z     lvl_max = -torch.log2(torch.tensor(scales[-1], dtype=torch.float32)).item()
2022-05-18T04:33:39.6024179Z 
2022-05-18T04:33:39.6024339Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_faster_rcnn
2022-05-18T04:33:39.6024682Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_mask_rcnn
2022-05-18T04:33:39.6025019Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_multi_scale_roi_align
2022-05-18T04:33:39.6025828Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/ops/poolers.py:186: TracerWarning: Converting a tensor to a Python number might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:33:39.6026453Z     lvl_max = -torch.log2(torch.tensor(scales[-1], dtype=torch.float32)).item()
2022-05-18T04:33:39.6026627Z 
2022-05-18T04:33:39.6026785Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_faster_rcnn
2022-05-18T04:33:39.6027120Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_mask_rcnn
2022-05-18T04:33:39.6027452Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_multi_scale_roi_align
2022-05-18T04:33:39.6027794Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_roi_heads
2022-05-18T04:33:39.6028656Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/ops/poolers.py:79: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:33:39.6029275Z     target_lvls = torch.floor(self.lvl0 + torch.log2(s / self.s0) + torch.tensor(self.eps, dtype=s.dtype))
2022-05-18T04:33:39.6029468Z 
2022-05-18T04:33:39.6029614Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_faster_rcnn
2022-05-18T04:33:39.6029946Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_mask_rcnn
2022-05-18T04:33:39.6030327Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_multi_scale_roi_align
2022-05-18T04:33:39.6030667Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_roi_heads
2022-05-18T04:33:39.6031406Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/ops/poolers.py:239: TracerWarning: Using len to get tensor shape might cause the trace to be incorrect. Recommended usage would be tensor.shape[0]. Passing a tensor of different shape might lead to errors or silently give incorrect results.
2022-05-18T04:33:39.6031863Z     num_rois = len(rois)
2022-05-18T04:33:39.6031977Z 
2022-05-18T04:33:39.6032134Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_faster_rcnn
2022-05-18T04:33:39.6032468Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_mask_rcnn
2022-05-18T04:33:39.6032801Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_multi_scale_roi_align
2022-05-18T04:33:39.6033144Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_roi_align
2022-05-18T04:33:39.6033483Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_roi_align_aligned
2022-05-18T04:33:39.6033850Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_roi_heads
2022-05-18T04:33:39.6034170Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_roi_pool
2022-05-18T04:33:39.6034971Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/ops/_utils.py:33: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:33:39.6035598Z     assert boxes.size(1) == 5, 'The boxes tensor shape is not correct as Tensor[K, 5]'
2022-05-18T04:33:39.6035768Z 
2022-05-18T04:33:39.6035929Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_faster_rcnn
2022-05-18T04:33:39.6036254Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_mask_rcnn
2022-05-18T04:33:39.6036585Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_roi_heads
2022-05-18T04:33:39.6037469Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/detection/transform.py:275: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:33:39.6038038Z     for s, s_orig in zip(new_size, original_size)
2022-05-18T04:33:39.6038178Z 
2022-05-18T04:33:39.6038324Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_faster_rcnn
2022-05-18T04:33:39.6038660Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_mask_rcnn
2022-05-18T04:33:39.6038991Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_roi_heads
2022-05-18T04:33:39.6039732Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/detection/transform.py:275: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor).
2022-05-18T04:33:39.6040208Z     for s, s_orig in zip(new_size, original_size)
2022-05-18T04:33:39.6040347Z 
2022-05-18T04:33:39.6040505Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_faster_rcnn
2022-05-18T04:33:39.6040853Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_index_put_slice_index
2022-05-18T04:33:39.6041199Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_mask_rcnn
2022-05-18T04:33:39.6041515Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_roi_heads
2022-05-18T04:33:39.6041877Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_rpn
2022-05-18T04:33:39.6042228Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_tensor_index_advanced_indexing
2022-05-18T04:33:39.6042623Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_tensor_index_advanced_indexing_consecutive
2022-05-18T04:33:39.6043008Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_tensor_index_advanced_indexing_ellipsis
2022-05-18T04:33:39.6043921Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/symbolic_opset9.py:4017: UserWarning: Exporting aten::index operator of advanced indexing in opset 14 is achieved by combination of multiple ONNX operators, including Reshape, Transpose, Concat, and Gather. If indices include negative values, the exported graph will produce incorrect results.
2022-05-18T04:33:39.6044507Z     + "If indices include negative values, the exported graph will produce incorrect results."
2022-05-18T04:33:39.6044700Z 
2022-05-18T04:33:39.6044862Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_faster_rcnn
2022-05-18T04:33:39.6045185Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_mask_rcnn
2022-05-18T04:33:39.6045550Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_roi_heads
2022-05-18T04:33:39.6045877Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_rpn
2022-05-18T04:33:39.6046761Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/symbolic_opset9.py:757: UserWarning: This model contains a squeeze operation on dimension 1 on an input with unknown shape. Note that if the size of dimension 1 of the input is not 1, the ONNX model will return an error. Opset version 11 supports squeezing on non-singleton dimensions, it is recommended to export this model using opset version 11 or higher.
2022-05-18T04:33:39.6047299Z     + "version 11 or higher."
2022-05-18T04:33:39.6047406Z 
2022-05-18T04:33:39.6047563Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_faster_rcnn
2022-05-18T04:33:39.6047895Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_mask_rcnn
2022-05-18T04:33:39.6048534Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/utils.py:1522: UserWarning: No names were found for specified dynamic axes of provided input.Automatically generated names will be applied to each dynamic axes of input images_tensors
2022-05-18T04:33:39.6048916Z     key
2022-05-18T04:33:39.6048996Z 
2022-05-18T04:33:39.6049156Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_faster_rcnn
2022-05-18T04:33:39.6049788Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/utils.py:1522: UserWarning: No names were found for specified dynamic axes of provided input.Automatically generated names will be applied to each dynamic axes of input outputs
2022-05-18T04:33:39.6050166Z     key
2022-05-18T04:33:39.6050259Z 
2022-05-18T04:33:39.6050423Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_faster_rcnn
2022-05-18T04:33:39.6050746Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_mask_rcnn
2022-05-18T04:33:39.6051333Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:784: DeprecationWarning: BILINEAR is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.BILINEAR instead.
2022-05-18T04:33:39.6051757Z     image = Image.open(path).convert("RGB").resize(size, Image.BILINEAR)
2022-05-18T04:33:39.6051926Z 
2022-05-18T04:33:39.6052071Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_floor_div
2022-05-18T04:33:39.6052797Z   /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:426: UserWarning: floor_divide is deprecated, and will be removed in a future version of pytorch. It currently rounds toward 0 (like the 'trunc' function NOT 'floor'). This results in incorrect rounding for negative values.
2022-05-18T04:33:39.6053673Z   To keep the current behavior, use torch.div(a, b, rounding_mode='trunc'), or for actual floor division, use torch.div(a, b, rounding_mode='floor'). (Triggered internally at  /var/lib/jenkins/workspace/aten/src/ATen/native/BinaryOps.cpp:599.)
2022-05-18T04:33:39.6054079Z     return callable(*args, **kwargs)
2022-05-18T04:33:39.6054206Z 
2022-05-18T04:33:39.6054368Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_floor_div
2022-05-18T04:33:39.6055425Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2269: UserWarning: __floordiv__ is deprecated, and its behavior will change in a future version of pytorch. It currently rounds toward 0 (like the 'trunc' function NOT 'floor'). This results in incorrect rounding for negative values. To keep the current behavior, use torch.div(a, b, rounding_mode='trunc'), or for actual floor division, use torch.div(a, b, rounding_mode='floor').
2022-05-18T04:33:39.6055972Z     x // 3,
2022-05-18T04:33:39.6056078Z 
2022-05-18T04:33:39.6056239Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_floor_div
2022-05-18T04:33:39.6057242Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2270: UserWarning: __floordiv__ is deprecated, and its behavior will change in a future version of pytorch. It currently rounds toward 0 (like the 'trunc' function NOT 'floor'). This results in incorrect rounding for negative values. To keep the current behavior, use torch.div(a, b, rounding_mode='trunc'), or for actual floor division, use torch.div(a, b, rounding_mode='floor').
2022-05-18T04:33:39.6057799Z     x // 2.0,
2022-05-18T04:33:39.6057989Z 
2022-05-18T04:33:39.6058136Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_floor_div
2022-05-18T04:33:39.6059082Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2271: UserWarning: __floordiv__ is deprecated, and its behavior will change in a future version of pytorch. It currently rounds toward 0 (like the 'trunc' function NOT 'floor'). This results in incorrect rounding for negative values. To keep the current behavior, use torch.div(a, b, rounding_mode='trunc'), or for actual floor division, use torch.div(a, b, rounding_mode='floor').
2022-05-18T04:33:39.6059668Z     x.to(dtype=torch.float64) // 3,
2022-05-18T04:33:39.6059798Z 
2022-05-18T04:33:39.6059957Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_floor_div
2022-05-18T04:33:39.6060892Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2272: UserWarning: __floordiv__ is deprecated, and its behavior will change in a future version of pytorch. It currently rounds toward 0 (like the 'trunc' function NOT 'floor'). This results in incorrect rounding for negative values. To keep the current behavior, use torch.div(a, b, rounding_mode='trunc'), or for actual floor division, use torch.div(a, b, rounding_mode='floor').
2022-05-18T04:33:39.6061459Z     x.to(dtype=torch.float64) // 2.0,
2022-05-18T04:33:39.6061581Z 
2022-05-18T04:33:39.6061738Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_floor_div
2022-05-18T04:33:39.6062685Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2273: UserWarning: __floordiv__ is deprecated, and its behavior will change in a future version of pytorch. It currently rounds toward 0 (like the 'trunc' function NOT 'floor'). This results in incorrect rounding for negative values. To keep the current behavior, use torch.div(a, b, rounding_mode='trunc'), or for actual floor division, use torch.div(a, b, rounding_mode='floor').
2022-05-18T04:33:39.6063266Z     x.to(dtype=torch.int64) // 3,
2022-05-18T04:33:39.6063393Z 
2022-05-18T04:33:39.6063550Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_floor_div
2022-05-18T04:33:39.6064494Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2274: UserWarning: __floordiv__ is deprecated, and its behavior will change in a future version of pytorch. It currently rounds toward 0 (like the 'trunc' function NOT 'floor'). This results in incorrect rounding for negative values. To keep the current behavior, use torch.div(a, b, rounding_mode='trunc'), or for actual floor division, use torch.div(a, b, rounding_mode='floor').
2022-05-18T04:33:39.6065148Z     x.to(dtype=torch.int64) // 2.0,
2022-05-18T04:33:39.6065273Z 
2022-05-18T04:33:39.6065431Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_floor_div
2022-05-18T04:33:39.6066376Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2275: UserWarning: __floordiv__ is deprecated, and its behavior will change in a future version of pytorch. It currently rounds toward 0 (like the 'trunc' function NOT 'floor'). This results in incorrect rounding for negative values. To keep the current behavior, use torch.div(a, b, rounding_mode='trunc'), or for actual floor division, use torch.div(a, b, rounding_mode='floor').
2022-05-18T04:33:39.6066958Z     x // (y + 1.0).to(dtype=torch.int64),
2022-05-18T04:33:39.6067090Z 
2022-05-18T04:33:39.6067247Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_floor_div
2022-05-18T04:33:39.6068213Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2276: UserWarning: __floordiv__ is deprecated, and its behavior will change in a future version of pytorch. It currently rounds toward 0 (like the 'trunc' function NOT 'floor'). This results in incorrect rounding for negative values. To keep the current behavior, use torch.div(a, b, rounding_mode='trunc'), or for actual floor division, use torch.div(a, b, rounding_mode='floor').
2022-05-18T04:33:39.6068757Z     x // y,
2022-05-18T04:33:39.6068860Z 
2022-05-18T04:33:39.6069018Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_floor_div
2022-05-18T04:33:39.6069970Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2277: UserWarning: __floordiv__ is deprecated, and its behavior will change in a future version of pytorch. It currently rounds toward 0 (like the 'trunc' function NOT 'floor'). This results in incorrect rounding for negative values. To keep the current behavior, use torch.div(a, b, rounding_mode='trunc'), or for actual floor division, use torch.div(a, b, rounding_mode='floor').
2022-05-18T04:33:39.6070581Z     x.to(dtype=torch.float64) // y.to(dtype=torch.int64),
2022-05-18T04:33:39.6070736Z 
2022-05-18T04:33:39.6070880Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_floor_div
2022-05-18T04:33:39.6071817Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2278: UserWarning: __floordiv__ is deprecated, and its behavior will change in a future version of pytorch. It currently rounds toward 0 (like the 'trunc' function NOT 'floor'). This results in incorrect rounding for negative values. To keep the current behavior, use torch.div(a, b, rounding_mode='trunc'), or for actual floor division, use torch.div(a, b, rounding_mode='floor').
2022-05-18T04:33:39.6072424Z     x.to(dtype=torch.float64) // y.to(dtype=torch.float64),
2022-05-18T04:33:39.6072578Z 
2022-05-18T04:33:39.6072738Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_floor_div
2022-05-18T04:33:39.6073672Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2279: UserWarning: __floordiv__ is deprecated, and its behavior will change in a future version of pytorch. It currently rounds toward 0 (like the 'trunc' function NOT 'floor'). This results in incorrect rounding for negative values. To keep the current behavior, use torch.div(a, b, rounding_mode='trunc'), or for actual floor division, use torch.div(a, b, rounding_mode='floor').
2022-05-18T04:33:39.6074267Z     x.to(dtype=torch.int64) // y.to(dtype=torch.int64),
2022-05-18T04:33:39.6074403Z 
2022-05-18T04:33:39.6074561Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_floor_div
2022-05-18T04:33:39.6075502Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2280: UserWarning: __floordiv__ is deprecated, and its behavior will change in a future version of pytorch. It currently rounds toward 0 (like the 'trunc' function NOT 'floor'). This results in incorrect rounding for negative values. To keep the current behavior, use torch.div(a, b, rounding_mode='trunc'), or for actual floor division, use torch.div(a, b, rounding_mode='floor').
2022-05-18T04:33:39.6076120Z     x.to(dtype=torch.int64) // y,
2022-05-18T04:33:39.6076246Z 
2022-05-18T04:33:39.6076405Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_floordiv
2022-05-18T04:33:39.6077339Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2301: UserWarning: __floordiv__ is deprecated, and its behavior will change in a future version of pytorch. It currently rounds toward 0 (like the 'trunc' function NOT 'floor'). This results in incorrect rounding for negative values. To keep the current behavior, use torch.div(a, b, rounding_mode='trunc'), or for actual floor division, use torch.div(a, b, rounding_mode='floor').
2022-05-18T04:33:39.6077915Z     return x.new_zeros(x.size(2) // x.size(1))
2022-05-18T04:33:39.6078047Z 
2022-05-18T04:33:39.6078208Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_groupnorm
2022-05-18T04:33:39.6078589Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_groupnorm_noaffine
2022-05-18T04:33:39.6079525Z   /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:2464: UserWarning: __floordiv__ is deprecated, and its behavior will change in a future version of pytorch. It currently rounds toward 0 (like the 'trunc' function NOT 'floor'). This results in incorrect rounding for negative values. To keep the current behavior, use torch.div(a, b, rounding_mode='trunc'), or for actual floor division, use torch.div(a, b, rounding_mode='floor').
2022-05-18T04:33:39.6080173Z     _verify_batch_size([input.size(0) * input.size(1) // num_groups, num_groups] + list(input.size()[2:]))
2022-05-18T04:33:39.6080364Z 
2022-05-18T04:33:39.6080473Z test/onnx/test_pytorch_onnx_onnxruntime.py: 52 warnings
2022-05-18T04:33:39.6081275Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/symbolic_opset9.py:3097: UserWarning: Exporting a model to ONNX with a batch_size other than 1, with a variable length with GRU can cause an error when running the ONNX model with a different batch size. Make sure to save the model with a batch size of 1, or define the initial states (h0/c0) as inputs of the model. 
2022-05-18T04:33:39.6081824Z     + "or define the initial states (h0/c0) as inputs of the model. "
2022-05-18T04:33:39.6081981Z 
2022-05-18T04:33:39.6082100Z test/onnx/test_pytorch_onnx_onnxruntime.py: 32 warnings
2022-05-18T04:33:39.6082845Z   /opt/conda/lib/python3.7/site-packages/torch/nn/modules/rnn.py:918: TracerWarning: Converting a tensor to a Python integer might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:33:39.6083326Z     max_batch_size = int(max_batch_size)
2022-05-18T04:33:39.6083455Z 
2022-05-18T04:33:39.6083637Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_hann_window_default_values
2022-05-18T04:33:39.6084445Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:11822: TracerWarning: Converting a tensor to a Python integer might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:33:39.6084986Z     return torch.add(x, F.relu(torch.hann_window(self.window_length)))
2022-05-18T04:33:39.6085149Z 
2022-05-18T04:33:39.6085313Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_hann_window_not_periodic
2022-05-18T04:33:39.6086124Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:11800: TracerWarning: Converting a tensor to a Python integer might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:33:39.6086681Z     self.window_length, periodic=False, dtype=torch.float
2022-05-18T04:33:39.6086836Z 
2022-05-18T04:33:39.6087007Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_hann_window_periodic
2022-05-18T04:33:39.6087798Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:11778: TracerWarning: Converting a tensor to a Python integer might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:33:39.6088306Z     self.window_length, periodic=True, dtype=torch.float
2022-05-18T04:33:39.6088459Z 
2022-05-18T04:33:39.6088633Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_heatmaps_to_keypoints
2022-05-18T04:33:39.6089668Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/detection/roi_heads.py:269: UserWarning: __floordiv__ is deprecated, and its behavior will change in a future version of pytorch. It currently rounds toward 0 (like the 'trunc' function NOT 'floor'). This results in incorrect rounding for negative values. To keep the current behavior, use torch.div(a, b, rounding_mode='trunc'), or for actual floor division, use torch.div(a, b, rounding_mode='floor').
2022-05-18T04:33:39.6090306Z     y_int = (pos - x_int) // w
2022-05-18T04:33:39.6090426Z 
2022-05-18T04:33:39.6090585Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_if_fold
2022-05-18T04:33:39.6091368Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:7859: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:33:39.6091842Z     if y.numel() > 1:
2022-05-18T04:33:39.6091952Z 
2022-05-18T04:33:39.6092108Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_if_fold
2022-05-18T04:33:39.6092895Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:7928: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:33:39.6093380Z     if y.numel() != 0 and y.dim() == 2:
2022-05-18T04:33:39.6093491Z 
2022-05-18T04:33:39.6093648Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_if_fold
2022-05-18T04:33:39.6094433Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:7940: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:33:39.6095024Z     if x.numel() == y.numel():
2022-05-18T04:33:39.6095148Z 
2022-05-18T04:33:39.6095305Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_if_fold
2022-05-18T04:33:39.6096082Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:7952: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:33:39.6096556Z     if x.numel() != y.numel():
2022-05-18T04:33:39.6096675Z 
2022-05-18T04:33:39.6096849Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_index_add_dim_size_differ
2022-05-18T04:33:39.6097267Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_index_add_dynamic_axes
2022-05-18T04:33:39.6097601Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_index_add_if
2022-05-18T04:33:39.6098040Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_index_add_in_loop
2022-05-18T04:33:39.6098391Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_index_add_normal
2022-05-18T04:33:39.6098996Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/symbolic_opset9.py:4597: UserWarning: Warning: ONNX export does not support duplicated values in 'index' field, this will cause the ONNX model to be incorrect.
2022-05-18T04:33:39.6099493Z     "Warning: ONNX export does not support duplicated values in 'index' field, "
2022-05-18T04:33:39.6099667Z 
2022-05-18T04:33:39.6099824Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_index_copy
2022-05-18T04:33:39.6100516Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:3991: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:33:39.6101039Z     index = torch.tensor([2, 0])
2022-05-18T04:33:39.6101163Z 
2022-05-18T04:33:39.6101323Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_index_fill
2022-05-18T04:33:39.6101911Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:3981: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:33:39.6102422Z     index = torch.tensor([2, 0])
2022-05-18T04:33:39.6102543Z 
2022-05-18T04:33:39.6102702Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_index_mask
2022-05-18T04:33:39.6103425Z   /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:426: UserWarning: indexing with dtype torch.uint8 is now deprecated, please use a dtype torch.bool instead. (Triggered internally at  /var/lib/jenkins/workspace/aten/src/ATen/native/IndexingUtils.h:28.)
2022-05-18T04:33:39.6103884Z     return callable(*args, **kwargs)
2022-05-18T04:33:39.6103997Z 
2022-05-18T04:33:39.6104157Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_index_mask
2022-05-18T04:33:39.6104679Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:1111: UserWarning: indexing with dtype torch.uint8 is now deprecated, please use a dtype torch.bool instead. (Triggered internally at  /var/lib/jenkins/workspace/aten/src/ATen/native/IndexingUtils.h:28.)
2022-05-18T04:33:39.6105155Z     return input[torch.tensor([0, 1, 0], dtype=torch.uint8)]
2022-05-18T04:33:39.6105306Z 
2022-05-18T04:33:39.6105467Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_index_mask
2022-05-18T04:33:39.6106064Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:1111: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:33:39.6106608Z     return input[torch.tensor([0, 1, 0], dtype=torch.uint8)]
2022-05-18T04:33:39.6106759Z 
2022-05-18T04:33:39.6106918Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_index_mask
2022-05-18T04:33:39.6107526Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:1118: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:33:39.6108119Z     return input[torch.tensor([0, 1, 0], dtype=torch.bool)]
2022-05-18T04:33:39.6108253Z 
2022-05-18T04:33:39.6108420Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_index_put_ellipsis
2022-05-18T04:33:39.6109032Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2966: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:33:39.6109553Z     x[..., torch.tensor([2, 1, 3]), 2:4] += update
2022-05-18T04:33:39.6109689Z 
2022-05-18T04:33:39.6109859Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_index_put_ellipsis
2022-05-18T04:33:39.6110513Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2975: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:33:39.6111027Z     x[2, ..., torch.tensor([2, 1, 3]), 2:4] += update
2022-05-18T04:33:39.6111159Z 
2022-05-18T04:33:39.6111322Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_index_put_if
2022-05-18T04:33:39.6111674Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_index_put_if_3
2022-05-18T04:33:39.6112012Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_index_put_if_4
2022-05-18T04:33:39.6112338Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_index_put_if_5
2022-05-18T04:33:39.6112694Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_index_put_inplace_ops
2022-05-18T04:33:39.6113347Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/utils.py:1522: UserWarning: No names were found for specified dynamic axes of provided input.Automatically generated names will be applied to each dynamic axes of input random_data
2022-05-18T04:33:39.6113734Z     key
2022-05-18T04:33:39.6113817Z 
2022-05-18T04:33:39.6113980Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_index_put_if
2022-05-18T04:33:39.6114321Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_index_put_if_3
2022-05-18T04:33:39.6114662Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_index_put_if_4
2022-05-18T04:33:39.6114990Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_index_put_if_5
2022-05-18T04:33:39.6115633Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/utils.py:1522: UserWarning: No names were found for specified dynamic axes of provided input.Automatically generated names will be applied to each dynamic axes of input empty_tensor
2022-05-18T04:33:39.6116015Z     key
2022-05-18T04:33:39.6116109Z 
2022-05-18T04:33:39.6116270Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_index_put_if_2
2022-05-18T04:33:39.6116880Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/utils.py:1522: UserWarning: No names were found for specified dynamic axes of provided input.Automatically generated names will be applied to each dynamic axes of input data
2022-05-18T04:33:39.6117254Z     key
2022-05-18T04:33:39.6117348Z 
2022-05-18T04:33:39.6117510Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_index_put_if_2
2022-05-18T04:33:39.6118131Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/utils.py:1522: UserWarning: No names were found for specified dynamic axes of provided input.Automatically generated names will be applied to each dynamic axes of input state
2022-05-18T04:33:39.6118530Z     key
2022-05-18T04:33:39.6118626Z 
2022-05-18T04:33:39.6118792Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_index_put_singular
2022-05-18T04:33:39.6119411Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2848: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:33:39.6119929Z     mask[indices] = torch.tensor(5.5)
2022-05-18T04:33:39.6120057Z 
2022-05-18T04:33:39.6120224Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_index_put_slice_index
2022-05-18T04:33:39.6120824Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2870: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:33:39.6121378Z     x[1:2, 1:3, torch.tensor([1])] += update
2022-05-18T04:33:39.6121507Z 
2022-05-18T04:33:39.6121678Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_index_put_slice_index
2022-05-18T04:33:39.6122300Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2879: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:33:39.6122849Z     x[torch.tensor([0, 2]), torch.tensor([1, 2])] += update
2022-05-18T04:33:39.6122980Z 
2022-05-18T04:33:39.6123149Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_index_put_slice_index
2022-05-18T04:33:39.6123771Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2888: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:33:39.6124290Z     x[torch.tensor([0, 2]), 1:2] += update
2022-05-18T04:33:39.6124416Z 
2022-05-18T04:33:39.6124586Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_index_put_slice_index
2022-05-18T04:33:39.6125194Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2897: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:33:39.6125716Z     x[torch.tensor([0, 2]), 2] += update
2022-05-18T04:33:39.6125843Z 
2022-05-18T04:33:39.6126015Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_index_put_slice_index
2022-05-18T04:33:39.6126628Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2906: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:33:39.6127143Z     x[1:3, torch.tensor([0, 2]), 2] += update
2022-05-18T04:33:39.6127274Z 
2022-05-18T04:33:39.6127448Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_index_select_constant_scaler_index
2022-05-18T04:33:39.6128113Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:4018: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:33:39.6128656Z     return torch.index_select(x, 1, torch.tensor(index))
2022-05-18T04:33:39.6128802Z 
2022-05-18T04:33:39.6128979Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_initializer_sequence
2022-05-18T04:33:39.6129339Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_onnx_proto_checker
2022-05-18T04:33:39.6129688Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_script_custom_class_error
2022-05-18T04:33:39.6130668Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/utils.py:56: UserWarning: You are exporting the model to ONNX while in training mode with 'train' parameter not specified. The model will default to inference mode export. If you wish to export a training amenable ONNX model, specify training=TrainingMode.TRAINING or training=TrainingMode.PRESERVE (to preserve the original model state) in torch.onnx.export().
2022-05-18T04:33:39.6131309Z     "You are exporting the model to ONNX while in training mode with "
2022-05-18T04:33:39.6131477Z 
2022-05-18T04:33:39.6131642Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_inplace_list
2022-05-18T04:33:39.6131981Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_interpolate_no_shape
2022-05-18T04:33:39.6132330Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_list_pass
2022-05-18T04:33:39.6132663Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_set_
2022-05-18T04:33:39.6133008Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_split_size_with_slice
2022-05-18T04:33:39.6133362Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_symbolic_shape_inference
2022-05-18T04:33:39.6134003Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/utils.py:1522: UserWarning: No names were found for specified dynamic axes of provided input.Automatically generated names will be applied to each dynamic axes of input y
2022-05-18T04:33:39.6134370Z     key
2022-05-18T04:33:39.6134467Z 
2022-05-18T04:33:39.6134771Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_instancenorm1d_norunningstats
2022-05-18T04:33:39.6135140Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_instancenorm2d_norunningstats
2022-05-18T04:33:39.6135514Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_instancenorm3d_norunningstats
2022-05-18T04:33:39.6135897Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_instancenorm_eval_mode_train_layer
2022-05-18T04:33:39.6136613Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/symbolic_helper.py:1139: UserWarning: ONNX export mode is set to inference mode, but operator instance_norm is set to training  mode. The operators will be exported in training , as specified by the functional operator.
2022-05-18T04:33:39.6137062Z     + ", as specified by the functional operator."
2022-05-18T04:33:39.6137207Z 
2022-05-18T04:33:39.6137392Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_instancenorm1d_norunningstats
2022-05-18T04:33:39.6137776Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_instancenorm2d_norunningstats
2022-05-18T04:33:39.6138225Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_instancenorm3d_norunningstats
2022-05-18T04:33:39.6138591Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_instancenorm_eval_mode_train_layer
2022-05-18T04:33:39.6138965Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_instancenorm_training
2022-05-18T04:33:39.6139405Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_instancenorm_training_mode_fix_layer
2022-05-18T04:33:39.6140218Z   /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:2397: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:33:39.6140678Z     if size_prods == 1:
2022-05-18T04:33:39.6140792Z 
2022-05-18T04:33:39.6140984Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_interpolate_adaptive_pooling_error
2022-05-18T04:33:39.6141598Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/symbolic_helper.py:432: UserWarning: ONNX export failed on adaptive_avg_pool1d because output size that are not factor of input size not supported
2022-05-18T04:33:39.6142012Z     "ONNX export failed on " + op + " because " + msg + " not supported"
2022-05-18T04:33:39.6142173Z 
2022-05-18T04:33:39.6142319Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_kldiv_loss
2022-05-18T04:33:39.6142696Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_kldiv_loss
2022-05-18T04:33:39.6143026Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_kldiv_loss
2022-05-18T04:33:39.6143356Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_kldiv_loss
2022-05-18T04:33:39.6143665Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_kldiv_loss
2022-05-18T04:33:39.6143992Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_kldiv_loss
2022-05-18T04:33:39.6144781Z   /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:2853: UserWarning: reduction: 'mean' divides the total loss by both the batch size and the support size.'batchmean' divides only by the batch size, and aligns with the KL div math definition.'mean' will be changed to behave the same as 'batchmean' in the next major release.
2022-05-18T04:33:39.6145262Z     warnings.warn(
2022-05-18T04:33:39.6145361Z 
2022-05-18T04:33:39.6145522Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_kldiv_loss
2022-05-18T04:33:39.6146302Z   /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:2854: UserWarning: reduction: 'mean' divides the total loss by both the batch size and the support size.'batchmean' divides only by the batch size, and aligns with the KL div math definition.'mean' will be changed to behave the same as 'batchmean' in the next major release.
2022-05-18T04:33:39.6146925Z     "reduction: 'mean' divides the total loss by both the batch size and the support size."
2022-05-18T04:33:39.6147107Z 
2022-05-18T04:33:39.6147265Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_kldiv_loss
2022-05-18T04:33:39.6147781Z   /opt/conda/lib/python3.7/site-packages/torch/nn/_reduction.py:42: UserWarning: size_average and reduce args will be deprecated, please use reduction='sum' instead.
2022-05-18T04:33:39.6148137Z     warnings.warn(warning.format(ret))
2022-05-18T04:33:39.6148274Z 
2022-05-18T04:33:39.6148434Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_linspace
2022-05-18T04:33:39.6149218Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2587: TracerWarning: Converting a tensor to a Python integer might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:33:39.6149727Z     return torch.linspace(start, end, steps)
2022-05-18T04:33:39.6149853Z 
2022-05-18T04:33:39.6150026Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_linspace_negative_start
2022-05-18T04:33:39.6150831Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2598: TracerWarning: Converting a tensor to a Python integer might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:33:39.6151372Z     return torch.linspace(start, end, steps)
2022-05-18T04:33:39.6151510Z 
2022-05-18T04:33:39.6151669Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_lower_tuple
2022-05-18T04:33:39.6152444Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:9174: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:33:39.6152967Z     if f.size(0) != input1.size(-1):
2022-05-18T04:33:39.6153094Z 
2022-05-18T04:33:39.6153255Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_lower_tuple_3
2022-05-18T04:33:39.6154073Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:9215: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:33:39.6154550Z     if c.shape[0] == e.shape[0]:
2022-05-18T04:33:39.6154656Z 
2022-05-18T04:33:39.6154776Z test/onnx/test_pytorch_onnx_onnxruntime.py: 60 warnings
2022-05-18T04:33:39.6155570Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/symbolic_opset9.py:3097: UserWarning: Exporting a model to ONNX with a batch_size other than 1, with a variable length with LSTM can cause an error when running the ONNX model with a different batch size. Make sure to save the model with a batch size of 1, or define the initial states (h0/c0) as inputs of the model. 
2022-05-18T04:33:39.6156115Z     + "or define the initial states (h0/c0) as inputs of the model. "
2022-05-18T04:33:39.6156273Z 
2022-05-18T04:33:39.6156443Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_lstm_proj_no_hidden
2022-05-18T04:33:39.6156965Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/symbolic_helper.py:432: UserWarning: ONNX export failed on LSTM because LSTMs with projections not supported
2022-05-18T04:33:39.6157346Z     "ONNX export failed on " + op + " because " + msg + " not supported"
2022-05-18T04:33:39.6157507Z 
2022-05-18T04:33:39.6157627Z test/onnx/test_pytorch_onnx_onnxruntime.py: 32 warnings
2022-05-18T04:33:39.6158369Z   /opt/conda/lib/python3.7/site-packages/torch/nn/modules/rnn.py:728: TracerWarning: Converting a tensor to a Python integer might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:33:39.6158865Z     max_batch_size = int(max_batch_size)
2022-05-18T04:33:39.6158980Z 
2022-05-18T04:33:39.6159099Z test/onnx/test_pytorch_onnx_onnxruntime.py: 32 warnings
2022-05-18T04:33:39.6159837Z   /opt/conda/lib/python3.7/site-packages/torch/nn/modules/rnn.py:677: TracerWarning: Converting a tensor to a Python integer might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:33:39.6160320Z     mini_batch = int(batch_sizes[0])
2022-05-18T04:33:39.6160446Z 
2022-05-18T04:33:39.6160603Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_mask_rcnn
2022-05-18T04:33:39.6160933Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_paste_mask_in_image
2022-05-18T04:33:39.6161826Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/detection/roi_heads.py:372: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:33:39.6162486Z     return torch.tensor(M + 2 * padding).to(torch.float32) / torch.tensor(M).to(torch.float32)
2022-05-18T04:33:39.6162675Z 
2022-05-18T04:33:39.6162834Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_mask_rcnn
2022-05-18T04:33:39.6163164Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_paste_mask_in_image
2022-05-18T04:33:39.6163912Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/detection/roi_heads.py:372: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor).
2022-05-18T04:33:39.6164451Z     return torch.tensor(M + 2 * padding).to(torch.float32) / torch.tensor(M).to(torch.float32)
2022-05-18T04:33:39.6164634Z 
2022-05-18T04:33:39.6164791Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_mask_rcnn
2022-05-18T04:33:39.6165440Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/utils.py:1522: UserWarning: No names were found for specified dynamic axes of provided input.Automatically generated names will be applied to each dynamic axes of input boxes
2022-05-18T04:33:39.6165803Z     key
2022-05-18T04:33:39.6165896Z 
2022-05-18T04:33:39.6166054Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_mask_rcnn
2022-05-18T04:33:39.6166676Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/utils.py:1522: UserWarning: No names were found for specified dynamic axes of provided input.Automatically generated names will be applied to each dynamic axes of input labels
2022-05-18T04:33:39.6167053Z     key
2022-05-18T04:33:39.6167136Z 
2022-05-18T04:33:39.6167297Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_mask_rcnn
2022-05-18T04:33:39.6167927Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/utils.py:1522: UserWarning: No names were found for specified dynamic axes of provided input.Automatically generated names will be applied to each dynamic axes of input scores
2022-05-18T04:33:39.6168304Z     key
2022-05-18T04:33:39.6168397Z 
2022-05-18T04:33:39.6168555Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_mask_rcnn
2022-05-18T04:33:39.6169166Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/utils.py:1522: UserWarning: No names were found for specified dynamic axes of provided input.Automatically generated names will be applied to each dynamic axes of input masks
2022-05-18T04:33:39.6169535Z     key
2022-05-18T04:33:39.6169629Z 
2022-05-18T04:33:39.6169791Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_masked_fill
2022-05-18T04:33:39.6170123Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_masked_fill_inplace
2022-05-18T04:33:39.6170951Z   /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:426: UserWarning: masked_fill_ received a mask with dtype torch.uint8, this behavior is now deprecated,please use a mask with dtype torch.bool instead. (Triggered internally at  /var/lib/jenkins/workspace/aten/src/ATen/native/TensorAdvancedIndexing.cpp:1582.)
2022-05-18T04:33:39.6171463Z     return callable(*args, **kwargs)
2022-05-18T04:33:39.6171591Z 
2022-05-18T04:33:39.6171751Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_masked_fill
2022-05-18T04:33:39.6172340Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:6890: UserWarning: masked_fill_ received a mask with dtype torch.uint8, this behavior is now deprecated,please use a mask with dtype torch.bool instead. (Triggered internally at  /var/lib/jenkins/workspace/aten/src/ATen/native/TensorAdvancedIndexing.cpp:1582.)
2022-05-18T04:33:39.6172861Z     return x.masked_fill(mask, 2)
2022-05-18T04:33:39.6172985Z 
2022-05-18T04:33:39.6173143Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_masked_fill
2022-05-18T04:33:39.6173761Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:6889: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:33:39.6174313Z     mask = torch.tensor([[0, 0, 1], [1, 1, 0]], dtype=torch.uint8)
2022-05-18T04:33:39.6174465Z 
2022-05-18T04:33:39.6174748Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_narrow_dynamic
2022-05-18T04:33:39.6175531Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:3972: TracerWarning: Converting a tensor to a Python integer might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:33:39.6176107Z     return torch.narrow(input, 0, 0, input.shape[0] - 1)
2022-05-18T04:33:39.6176322Z 
2022-05-18T04:33:39.6176504Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_nllloss_dynamic_ignore_index
2022-05-18T04:33:39.6177304Z   /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:2638: TracerWarning: Converting a tensor to a Python integer might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:33:39.6177872Z     return torch._C._nn.nll_loss_nd(input, target, weight, _Reduction.get_enum(reduction), ignore_index)
2022-05-18T04:33:39.6178107Z 
2022-05-18T04:33:39.6178263Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_one_hot
2022-05-18T04:33:39.6179054Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:4396: TracerWarning: Converting a tensor to a Python integer might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:33:39.6179577Z     return torch.nn.functional.one_hot(x, num_classes[0])
2022-05-18T04:33:39.6179736Z 
2022-05-18T04:33:39.6179894Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_qat_conv2d
2022-05-18T04:33:39.6180224Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_qat_conv2d_relu
2022-05-18T04:33:39.6180577Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_qat_conv2d_relu_fused
2022-05-18T04:33:39.6180936Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_qat_linear_per_channel
2022-05-18T04:33:39.6181290Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_qat_maxpool2d
2022-05-18T04:33:39.6181610Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_qat_relu
2022-05-18T04:33:39.6182208Z   /opt/conda/lib/python3.7/site-packages/torch/ao/quantization/observer.py:1137: UserWarning: must run observer before calling calculate_qparams.                                    Returning default scale and zero point 
2022-05-18T04:33:39.6182597Z     Returning default scale and zero point "
2022-05-18T04:33:39.6182734Z 
2022-05-18T04:33:39.6182892Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_qat_conv2d
2022-05-18T04:33:39.6183218Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_qat_conv2d_relu
2022-05-18T04:33:39.6183566Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_qat_conv2d_relu_fused
2022-05-18T04:33:39.6183921Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_qat_linear_per_channel
2022-05-18T04:33:39.6184307Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_qat_maxpool2d
2022-05-18T04:33:39.6184643Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_qat_relu
2022-05-18T04:33:39.6185436Z   /opt/conda/lib/python3.7/site-packages/torch/nn/quantized/modules/__init__.py:53: TracerWarning: Converting a tensor to a Python float might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:33:39.6185960Z     return torch.quantize_per_tensor(X, float(self.scale),
2022-05-18T04:33:39.6186112Z 
2022-05-18T04:33:39.6186274Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_qat_conv2d
2022-05-18T04:33:39.6186598Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_qat_conv2d_relu
2022-05-18T04:33:39.6186950Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_qat_conv2d_relu_fused
2022-05-18T04:33:39.6187305Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_qat_linear_per_channel
2022-05-18T04:33:39.6187671Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_qat_maxpool2d
2022-05-18T04:33:39.6188009Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_qat_relu
2022-05-18T04:33:39.6188804Z   /opt/conda/lib/python3.7/site-packages/torch/nn/quantized/modules/__init__.py:54: TracerWarning: Converting a tensor to a Python integer might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:33:39.6189300Z     int(self.zero_point), self.dtype)
2022-05-18T04:33:39.6189435Z 
2022-05-18T04:33:39.6189604Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_repeat_interleave
2022-05-18T04:33:39.6190216Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:5447: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:33:39.6190734Z     repeats = torch.tensor([4])
2022-05-18T04:33:39.6190858Z 
2022-05-18T04:33:39.6191026Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_repeat_interleave
2022-05-18T04:33:39.6191646Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:5455: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:33:39.6192175Z     repeats = torch.tensor([1, 2])
2022-05-18T04:33:39.6192287Z 
2022-05-18T04:33:39.6192454Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_repeat_interleave
2022-05-18T04:33:39.6193076Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:5463: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:33:39.6193591Z     repeats = torch.tensor([1, 2])
2022-05-18T04:33:39.6193716Z 
2022-05-18T04:33:39.6193879Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_resize_images
2022-05-18T04:33:39.6194203Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_roi_heads
2022-05-18T04:33:39.6194572Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_rpn
2022-05-18T04:33:39.6195199Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/utils.py:1522: UserWarning: No names were found for specified dynamic axes of provided input.Automatically generated names will be applied to each dynamic axes of input input1
2022-05-18T04:33:39.6195579Z     key
2022-05-18T04:33:39.6195660Z 
2022-05-18T04:33:39.6195825Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_roi_align_aligned
2022-05-18T04:33:39.6196468Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/ops/_register_onnx_ops.py:28: UserWarning: ONNX export of ROIAlign with aligned=True does not match PyTorch when using malformed boxes, ONNX forces ROIs to be 1x1 or larger.
2022-05-18T04:33:39.6196972Z     warnings.warn("ONNX export of ROIAlign with aligned=True does not match PyTorch when using malformed boxes,"
2022-05-18T04:33:39.6197180Z 
2022-05-18T04:33:39.6197337Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_roi_heads
2022-05-18T04:33:39.6197653Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_rpn
2022-05-18T04:33:39.6198313Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/utils.py:1522: UserWarning: No names were found for specified dynamic axes of provided input.Automatically generated names will be applied to each dynamic axes of input input2
2022-05-18T04:33:39.6198694Z     key
2022-05-18T04:33:39.6198789Z 
2022-05-18T04:33:39.6198946Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_roi_heads
2022-05-18T04:33:39.6199263Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_rpn
2022-05-18T04:33:39.6199879Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/utils.py:1522: UserWarning: No names were found for specified dynamic axes of provided input.Automatically generated names will be applied to each dynamic axes of input input3
2022-05-18T04:33:39.6200253Z     key
2022-05-18T04:33:39.6200350Z 
2022-05-18T04:33:39.6200504Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_roi_heads
2022-05-18T04:33:39.6200817Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_rpn
2022-05-18T04:33:39.6201435Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/utils.py:1522: UserWarning: No names were found for specified dynamic axes of provided input.Automatically generated names will be applied to each dynamic axes of input input4
2022-05-18T04:33:39.6201808Z     key
2022-05-18T04:33:39.6201901Z 
2022-05-18T04:33:39.6202044Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_roi_heads
2022-05-18T04:33:39.6202373Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_rpn
2022-05-18T04:33:39.6202993Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/utils.py:1522: UserWarning: No names were found for specified dynamic axes of provided input.Automatically generated names will be applied to each dynamic axes of input input5
2022-05-18T04:33:39.6203364Z     key
2022-05-18T04:33:39.6203460Z 
2022-05-18T04:33:39.6203602Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_roi_heads
2022-05-18T04:33:39.6203925Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_rpn
2022-05-18T04:33:39.6204541Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/utils.py:1522: UserWarning: No names were found for specified dynamic axes of provided input.Automatically generated names will be applied to each dynamic axes of input input6
2022-05-18T04:33:39.6204913Z     key
2022-05-18T04:33:39.6205010Z 
2022-05-18T04:33:39.6205153Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_roi_heads
2022-05-18T04:33:39.6205892Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:10666: TracerWarning: Iterating over a tensor might cause the trace to be incorrect. Passing a tensor of different shape won't change the number of iterations executed (and might lead to errors or silently give incorrect results).
2022-05-18T04:33:39.6206461Z     (img.shape[-1], img.shape[-2]) for img in images
2022-05-18T04:33:39.6206601Z 
2022-05-18T04:33:39.6206759Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_roi_heads
2022-05-18T04:33:39.6207486Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:10670: TracerWarning: Iterating over a tensor might cause the trace to be incorrect. Passing a tensor of different shape won't change the number of iterations executed (and might lead to errors or silently give incorrect results).
2022-05-18T04:33:39.6208019Z     images, [(i.shape[-1], i.shape[-2]) for i in images]
2022-05-18T04:33:39.6208160Z 
2022-05-18T04:33:39.6208312Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_rpn
2022-05-18T04:33:39.6209043Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:10583: TracerWarning: Iterating over a tensor might cause the trace to be incorrect. Passing a tensor of different shape won't change the number of iterations executed (and might lead to errors or silently give incorrect results).
2022-05-18T04:33:39.6209577Z     images, [(i.shape[-1], i.shape[-2]) for i in images]
2022-05-18T04:33:39.6209719Z 
2022-05-18T04:33:39.6209900Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_scalar_type
2022-05-18T04:33:39.6210514Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:7023: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:33:39.6211030Z     a = torch.tensor([12.0])
2022-05-18T04:33:39.6211148Z 
2022-05-18T04:33:39.6211319Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_sequence_to_bool
2022-05-18T04:33:39.6211934Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:12225: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:33:39.6212467Z     [False for i in range(x.size()[0])], dtype=torch.bool
2022-05-18T04:33:39.6212608Z 
2022-05-18T04:33:39.6212774Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_sequence_to_float
2022-05-18T04:33:39.6213387Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:12213: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:33:39.6213930Z     [1.1 for i in range(x.size()[0])], dtype=torch.float
2022-05-18T04:33:39.6214071Z 
2022-05-18T04:33:39.6214236Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_sequence_to_int
2022-05-18T04:33:39.6214982Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:12202: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:33:39.6215535Z     result = torch.tensor([2 for i in range(x.size()[0])], dtype=torch.int)
2022-05-18T04:33:39.6215699Z 
2022-05-18T04:33:39.6215879Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_shufflenet_v2_dynamic_axes
2022-05-18T04:33:39.6216400Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/utils.py:1515: UserWarning: Provided key output for dynamic axes is not a valid input/output name
2022-05-18T04:33:39.6216745Z     key
2022-05-18T04:33:39.6216839Z 
2022-05-18T04:33:39.6217019Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_shufflenet_v2_dynamic_axes
2022-05-18T04:33:39.6218098Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/shufflenetv2.py:23: UserWarning: __floordiv__ is deprecated, and its behavior will change in a future version of pytorch. It currently rounds toward 0 (like the 'trunc' function NOT 'floor'). This results in incorrect rounding for negative values. To keep the current behavior, use torch.div(a, b, rounding_mode='trunc'), or for actual floor division, use torch.div(a, b, rounding_mode='floor').
2022-05-18T04:33:39.6218721Z     channels_per_group = num_channels // groups
2022-05-18T04:33:39.6218865Z 
2022-05-18T04:33:39.6219041Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_slice_dynamic_to_end
2022-05-18T04:33:39.6219544Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/utils.py:1515: UserWarning: Provided key input_1 for dynamic axes is not a valid input/output name
2022-05-18T04:33:39.6219843Z     key
2022-05-18T04:33:39.6219939Z 
2022-05-18T04:33:39.6220155Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_slice_dynamic_to_end
2022-05-18T04:33:39.6220673Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/utils.py:1515: UserWarning: Provided key output_1 for dynamic axes is not a valid input/output name
2022-05-18T04:33:39.6220956Z     key
2022-05-18T04:33:39.6221049Z 
2022-05-18T04:33:39.6221218Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_split_size_with_slice
2022-05-18T04:33:39.6221852Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/utils.py:1522: UserWarning: No names were found for specified dynamic axes of provided input.Automatically generated names will be applied to each dynamic axes of input t
2022-05-18T04:33:39.6222221Z     key
2022-05-18T04:33:39.6222305Z 
2022-05-18T04:33:39.6222474Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_split_tensor_scalar
2022-05-18T04:33:39.6223255Z   /opt/conda/lib/python3.7/site-packages/torch/_tensor.py:609: TracerWarning: Converting a tensor to a Python integer might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:33:39.6223732Z     split_size = int(split_size)
2022-05-18T04:33:39.6223856Z 
2022-05-18T04:33:39.6224026Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_squeeze_dynamic_dim
2022-05-18T04:33:39.6224809Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:1958: TracerWarning: Converting a tensor to a Python integer might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:33:39.6225304Z     return torch.squeeze(x, dim)
2022-05-18T04:33:39.6225429Z 
2022-05-18T04:33:39.6225618Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_symbolic_shape_inference_arange
2022-05-18T04:33:39.6226591Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:11538: UserWarning: __rfloordiv__ is deprecated, and its behavior will change in a future version of pytorch. It currently rounds toward 0 (like the 'trunc' function NOT 'floor'). This results in incorrect rounding for negative values. To keep the current behavior, use torch.div(a, b, rounding_mode='trunc'), or for actual floor division, use torch.div(a, b, rounding_mode='floor').
2022-05-18T04:33:39.6227180Z     subframe_step = frame_step // subframe_length
2022-05-18T04:33:39.6227322Z 
2022-05-18T04:33:39.6227491Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_symbolic_shape_inference_arange
2022-05-18T04:33:39.6228511Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:11539: UserWarning: __floordiv__ is deprecated, and its behavior will change in a future version of pytorch. It currently rounds toward 0 (like the 'trunc' function NOT 'floor'). This results in incorrect rounding for negative values. To keep the current behavior, use torch.div(a, b, rounding_mode='trunc'), or for actual floor division, use torch.div(a, b, rounding_mode='floor').
2022-05-18T04:33:39.6229125Z     subframes_per_frame = frame_length // subframe_length
2022-05-18T04:33:39.6229274Z 
2022-05-18T04:33:39.6229459Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_symbolic_shape_inference_arange
2022-05-18T04:33:39.6230435Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:11541: UserWarning: __floordiv__ is deprecated, and its behavior will change in a future version of pytorch. It currently rounds toward 0 (like the 'trunc' function NOT 'floor'). This results in incorrect rounding for negative values. To keep the current behavior, use torch.div(a, b, rounding_mode='trunc'), or for actual floor division, use torch.div(a, b, rounding_mode='floor').
2022-05-18T04:33:39.6231040Z     output_subframes = output_size // subframe_length
2022-05-18T04:33:39.6231170Z 
2022-05-18T04:33:39.6231414Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_symbolic_shape_inference_box_if
2022-05-18T04:33:39.6232232Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:11593: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:33:39.6232705Z     if boxes_1.numel() > 3:
2022-05-18T04:33:39.6232823Z 
2022-05-18T04:33:39.6233008Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_symbolic_shape_inference_slice
2022-05-18T04:33:39.6233659Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/utils.py:1522: UserWarning: No names were found for specified dynamic axes of provided input.Automatically generated names will be applied to each dynamic axes of input position_bias
2022-05-18T04:33:39.6234039Z     key
2022-05-18T04:33:39.6234135Z 
2022-05-18T04:33:39.6234316Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_tensor_index_advanced_indexing
2022-05-18T04:33:39.6234946Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2784: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:33:39.6235464Z     torch.tensor([[0, 2], [1, 1]]),
2022-05-18T04:33:39.6235571Z 
2022-05-18T04:33:39.6235750Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_tensor_index_advanced_indexing
2022-05-18T04:33:39.6236379Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2786: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:33:39.6236890Z     torch.tensor([2, 1]),
2022-05-18T04:33:39.6237007Z 
2022-05-18T04:33:39.6237189Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_tensor_index_advanced_indexing
2022-05-18T04:33:39.6237795Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2787: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:33:39.6238339Z     torch.tensor([0, 3]),
2022-05-18T04:33:39.6238453Z 
2022-05-18T04:33:39.6238632Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_tensor_index_advanced_indexing
2022-05-18T04:33:39.6239251Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2796: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:33:39.6239791Z     :, torch.tensor([0, 2]), None, 2:4, torch.tensor([[1, 3], [4, 0]])
2022-05-18T04:33:39.6239940Z 
2022-05-18T04:33:39.6240109Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_tensor_index_advanced_indexing
2022-05-18T04:33:39.6240769Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2805: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:33:39.6241278Z     torch.tensor([0, 2]),
2022-05-18T04:33:39.6241394Z 
2022-05-18T04:33:39.6241573Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_tensor_index_advanced_indexing
2022-05-18T04:33:39.6242193Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2806: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:33:39.6242701Z     torch.tensor([1]),
2022-05-18T04:33:39.6242806Z 
2022-05-18T04:33:39.6242985Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_tensor_index_advanced_indexing
2022-05-18T04:33:39.6243611Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2808: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:33:39.6244118Z     torch.tensor([[1], [4]]),
2022-05-18T04:33:39.6244234Z 
2022-05-18T04:33:39.6244430Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_tensor_index_advanced_indexing_consecutive
2022-05-18T04:33:39.6245047Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2817: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:33:39.6245590Z     :, torch.tensor([0, 2]), torch.tensor([[1, 3], [4, 0]]), None
2022-05-18T04:33:39.6245734Z 
2022-05-18T04:33:39.6245924Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_tensor_index_advanced_indexing_ellipsis
2022-05-18T04:33:39.6246555Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2774: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:33:39.6247106Z     return input[..., torch.tensor([2, 1]), torch.tensor([0, 3])]
2022-05-18T04:33:39.6247258Z 
2022-05-18T04:33:39.6247457Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_tensordot_dynamic_dim
2022-05-18T04:33:39.6248106Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/utils.py:1522: UserWarning: No names were found for specified dynamic axes of provided input.Automatically generated names will be applied to each dynamic axes of input input_x
2022-05-18T04:33:39.6248486Z     key
2022-05-18T04:33:39.6248581Z 
2022-05-18T04:33:39.6248753Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_tensordot_dynamic_dim
2022-05-18T04:33:39.6249372Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/utils.py:1522: UserWarning: No names were found for specified dynamic axes of provided input.Automatically generated names will be applied to each dynamic axes of input input_y
2022-05-18T04:33:39.6249744Z     key
2022-05-18T04:33:39.6249837Z 
2022-05-18T04:33:39.6249998Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_topk_int32_k
2022-05-18T04:33:39.6250833Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:4060: TracerWarning: Converting a tensor to a Python integer might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:33:39.6251320Z     return torch.topk(x, k)
2022-05-18T04:33:39.6251426Z 
2022-05-18T04:33:39.6251599Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_topk_smallest_unsorted
2022-05-18T04:33:39.6252397Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:4072: TracerWarning: Converting a tensor to a Python integer might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:33:39.6252921Z     topk_unsorted = torch.topk(x, k, largest=False, sorted=False)
2022-05-18T04:33:39.6253084Z 
2022-05-18T04:33:39.6253258Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_topk_smallest_unsorted
2022-05-18T04:33:39.6254050Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:4073: TracerWarning: Converting a tensor to a Python integer might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:33:39.6254683Z     topk_sorted = torch.topk(x, k, largest=False, sorted=True)
2022-05-18T04:33:39.6254836Z 
2022-05-18T04:33:39.6254998Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_trace_script
2022-05-18T04:33:39.6255612Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:8284: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:33:39.6256250Z     return center_slice_helper(input, torch.tensor(input.shape[1] - 1))
2022-05-18T04:33:39.6256421Z 
2022-05-18T04:33:39.6256572Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_trace_script
2022-05-18T04:33:39.6257102Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:8284: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor).
2022-05-18T04:33:39.6257654Z     return center_slice_helper(input, torch.tensor(input.shape[1] - 1))
2022-05-18T04:33:39.6257823Z 
2022-05-18T04:33:39.6258051Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_transformer_encoder
2022-05-18T04:33:39.6258841Z   /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:4995: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:33:39.6259395Z     assert embed_dim == embed_dim_to_check, \
2022-05-18T04:33:39.6259530Z 
2022-05-18T04:33:39.6259702Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_transformer_encoder
2022-05-18T04:33:39.6260492Z   /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:5002: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:33:39.6261053Z     assert head_dim * num_heads == embed_dim, f"embed_dim {embed_dim} not divisible by num_heads {num_heads}"
2022-05-18T04:33:39.6261250Z 
2022-05-18T04:33:39.6261419Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_transformer_encoder
2022-05-18T04:33:39.6262229Z   /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:5008: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:33:39.6262799Z     assert key.shape == value.shape, f"key shape {key.shape} does not match value shape {value.shape}"
2022-05-18T04:33:39.6262995Z 
2022-05-18T04:33:39.6263167Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_transformer_encoder
2022-05-18T04:33:39.6263951Z   /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:4798: TracerWarning: Converting a tensor to a Python float might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:33:39.6264425Z     q = q / math.sqrt(E)
2022-05-18T04:33:39.6264525Z 
2022-05-18T04:33:39.6264686Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_type_as
2022-05-18T04:33:39.6265298Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:7739: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:33:39.6265805Z     y = torch.tensor([1.0])
2022-05-18T04:33:39.6265924Z 
2022-05-18T04:33:39.6266096Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_unfold_dynamic_inputs
2022-05-18T04:33:39.6266886Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:7146: TracerWarning: Converting a tensor to a Python integer might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:33:39.6267480Z     return x.unfold(dimension=2, size=x.shape[1], step=x.shape[1] - 1)
2022-05-18T04:33:39.6267645Z 
2022-05-18T04:33:39.6267820Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_unfold_dynamic_inputs
2022-05-18T04:33:39.6268614Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:7153: TracerWarning: Converting a tensor to a Python integer might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:33:39.6269132Z     return x.unfold(dimension=2, size=x.shape[1], step=1)
2022-05-18T04:33:39.6269315Z 
2022-05-18T04:33:39.6269465Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_uninitialized
2022-05-18T04:33:39.6270258Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:7966: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:33:39.6270729Z     if y.shape[1] < 5:
2022-05-18T04:33:39.6270840Z 
2022-05-18T04:33:39.6271003Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_uninitialized
2022-05-18T04:33:39.6271772Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:7967: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:33:39.6272240Z     if y.size(0) == 1:
2022-05-18T04:33:39.6272348Z 
2022-05-18T04:33:39.6272520Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_uninitialized_dynamic
2022-05-18T04:33:39.6273344Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:7980: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:33:39.6273817Z     if y.shape[1] < 5:
2022-05-18T04:33:39.6273930Z 
2022-05-18T04:33:39.6274089Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_uninitialized_dynamic
2022-05-18T04:33:39.6274880Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:7981: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:33:39.6275346Z     if y.size(0) == 1:
2022-05-18T04:33:39.6275455Z 
2022-05-18T04:33:39.6275626Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_unsqueeze_dynamic_dim
2022-05-18T04:33:39.6276413Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:1976: TracerWarning: Converting a tensor to a Python integer might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:33:39.6276880Z     return torch.unsqueeze(x, dim)
2022-05-18T04:33:39.6277007Z 
2022-05-18T04:33:39.6277167Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_view_dynamic
2022-05-18T04:33:39.6277797Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/utils.py:1522: UserWarning: No names were found for specified dynamic axes of provided input.Automatically generated names will be applied to each dynamic axes of input shape
2022-05-18T04:33:39.6278172Z     key
2022-05-18T04:33:39.6278253Z 
2022-05-18T04:33:39.6278428Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset14::test_where_with_byte_tensor
2022-05-18T04:33:39.6279256Z   /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:426: UserWarning: where received a uint8 condition tensor. This behavior is deprecated and will be removed in a future version of PyTorch. Use a boolean condition instead. (Triggered internally at  /var/lib/jenkins/workspace/aten/src/ATen/native/TensorCompare.cpp:402.)
2022-05-18T04:33:39.6279767Z     return callable(*args, **kwargs)
2022-05-18T04:33:39.6279894Z 
2022-05-18T04:33:39.6280136Z -- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html
2022-05-18T04:33:39.6280358Z 
2022-05-18T04:33:39.6280552Z ---------- coverage: platform linux, python 3.7.13-final-0 -----------
2022-05-18T04:33:39.6280835Z Coverage XML written to file test/coverage.xml
2022-05-18T04:33:39.6280976Z 
2022-05-18T04:33:39.6281095Z =========================== short test summary info ============================
2022-05-18T04:33:39.6281386Z SKIPPED [7] test/onnx/test_pytorch_common.py:98: Unsupported opset_version: 14 < 15
2022-05-18T04:33:39.6281700Z SKIPPED [3] test/onnx/test_pytorch_common.py:53: Unsupported opset_version: 14 < 15
2022-05-18T04:33:39.6282020Z SKIPPED [1] test/onnx/test_pytorch_common.py:68: Unsupported opset_version: 14 > 13
2022-05-18T04:33:39.6282432Z SKIPPED [1] test/onnx/test_pytorch_common.py:98: Due to ONNX Loop shape inference issue. https://msdata.visualstudio.com/Vienna/_workitems/edit/1352001
2022-05-18T04:33:39.6282838Z SKIPPED [1] test/onnx/test_pytorch_common.py:53: Unsupported opset_version: 14 < 16
2022-05-18T04:33:39.6283146Z SKIPPED [1] test/onnx/test_pytorch_common.py:68: Unsupported opset_version: 14 > 8
2022-05-18T04:33:39.6283505Z SKIPPED [1] test/onnx/test_pytorch_common.py:53: Failing, see https://github.com/pytorch/pytorch/issues/66528
2022-05-18T04:33:39.6283968Z SKIPPED [1] test/onnx/test_pytorch_common.py:53: Unstable loading pretrained quantized mobilenet v3: https://github.com/pytorch/vision/issues/5303
2022-05-18T04:33:39.6284346Z SKIPPED [1] test/onnx/test_pytorch_common.py:53: Unsupported opset_version: 14 > 13
2022-05-18T04:33:39.6284741Z SKIPPED [1] test/onnx/test_pytorch_common.py:53: Bug in ORT, skip test until rel-1.11.
2022-05-18T04:33:39.6285067Z SKIPPED [1] test/onnx/test_pytorch_common.py:68: Unsupported opset_version: 14 > 10
2022-05-18T04:33:39.6285500Z ========== 786 passed, 19 skipped, 1787 warnings in 621.32s (0:10:21) ==========
2022-05-18T04:33:40.1280458Z + for i in '$(seq 10 16)'
2022-05-18T04:33:40.1281108Z + pytest -v --cov --cov-report xml:test/coverage.xml --cov-append /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15
2022-05-18T04:33:40.3697187Z ============================= test session starts ==============================
2022-05-18T04:33:40.3697589Z platform linux -- Python 3.7.13, pytest-7.1.2, pluggy-1.0.0 -- /opt/conda/bin/python
2022-05-18T04:33:40.3771024Z cachedir: .pytest_cache
2022-05-18T04:33:40.3771345Z rootdir: /var/lib/jenkins/workspace, configfile: pytest.ini
2022-05-18T04:33:40.3771765Z plugins: hypothesis-3.44.6, cov-3.0.0
2022-05-18T04:33:41.2385859Z collecting ... 
2022-05-18T04:33:41.3607331Z collecting 0 items                                                             
2022-05-18T04:33:41.3607685Z collected 805 items                                                            
2022-05-18T04:33:41.3617048Z 
2022-05-18T04:33:41.4920428Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test__dim_arange PASSED [  0%]
2022-05-18T04:33:41.5019257Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_add_inplace Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'x.1'. This changes graph semantics.
2022-05-18T04:33:41.5199670Z Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: '0'. This changes graph semantics.
2022-05-18T04:33:41.5395990Z PASSED [  0%]
2022-05-18T04:33:41.5858671Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_addcmul PASSED [  0%]
2022-05-18T04:33:41.6771892Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_all PASSED [  0%]
2022-05-18T04:33:41.6846132Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_all_optional_default_none PASSED [  0%]
2022-05-18T04:33:41.6958099Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_all_optional_default_tensor PASSED [  0%]
2022-05-18T04:33:41.7947500Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_all_optional_default_tensor_script PASSED [  0%]
2022-05-18T04:33:41.8478801Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_amax_amin PASSED [  0%]
2022-05-18T04:33:41.9154409Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_aminmax PASSED [  1%]
2022-05-18T04:33:41.9712032Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_and_or_xor PASSED [  1%]
2022-05-18T04:33:42.0976193Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_any PASSED [  1%]
2022-05-18T04:33:42.2590287Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_arange_dynamic PASSED [  1%]
2022-05-18T04:33:42.3778198Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_arange_end PASSED [  1%]
2022-05-18T04:33:42.5209189Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_arange_end_notype PASSED [  1%]
2022-05-18T04:33:42.5883019Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_arange_no_type PASSED [  1%]
2022-05-18T04:33:42.6511023Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_arange_out PASSED [  1%]
2022-05-18T04:33:42.7920723Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_arange_start_end PASSED [  2%]
2022-05-18T04:33:42.9324458Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_arange_start_end_notype PASSED [  2%]
2022-05-18T04:33:43.1021412Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_arange_start_end_step PASSED [  2%]
2022-05-18T04:33:43.2715295Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_arange_start_end_step_notype PASSED [  2%]
2022-05-18T04:33:43.4331862Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_arange_start_out PASSED [  2%]
2022-05-18T04:33:43.8042183Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_arange_with_floats PASSED [  2%]
2022-05-18T04:33:44.0250873Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_arange_with_floats_out PASSED [  2%]
2022-05-18T04:33:44.1833938Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_arange_with_floats_override PASSED [  2%]
2022-05-18T04:33:44.2615899Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_argmin_argmax PASSED [  3%]
2022-05-18T04:33:44.4144242Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_argmin_argmax_select_last_index PASSED [  3%]
2022-05-18T04:33:44.5232328Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_arithmetic PASSED [  3%]
2022-05-18T04:33:44.5258905Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_arithmeticOps_with_low_precision SKIPPED [  3%]
2022-05-18T04:33:44.5981666Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_arithmetic_infer_dtype PASSED [  3%]
2022-05-18T04:33:44.7177212Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_arithmetic_prim_bool PASSED [  3%]
2022-05-18T04:33:44.9071162Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_arithmetic_prim_float PASSED [  3%]
2022-05-18T04:33:45.0781680Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_arithmetic_prim_long PASSED [  3%]
2022-05-18T04:33:45.1582979Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_as_strided PASSED [  4%]
2022-05-18T04:33:45.1735990Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_auto_grad PASSED [  4%]
2022-05-18T04:33:45.2409887Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_avgpool PASSED [  4%]
2022-05-18T04:33:45.3041202Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_avgpool_1d_ceil PASSED [  4%]
2022-05-18T04:33:45.3816843Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_avgpool_2d_ceil PASSED [  4%]
2022-05-18T04:33:46.3888889Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_avgpool_3d_ceil PASSED [  4%]
2022-05-18T04:33:46.4521323Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_avgpool_default_stride PASSED [  4%]
2022-05-18T04:33:46.4932558Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_baddbmm PASSED [  4%]
2022-05-18T04:33:46.5228707Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_baddbmm_dynamic PASSED [  5%]
2022-05-18T04:33:46.7376165Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_batched_nms PASSED [  5%]
2022-05-18T04:33:46.8576037Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_batchnorm1d PASSED [  5%]
2022-05-18T04:33:46.9828103Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_batchnorm1d_noaffine PASSED [  5%]
2022-05-18T04:33:47.1805294Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_batchnorm1d_norunningstats PASSED [  5%]
2022-05-18T04:33:47.2615633Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_batchnorm2d PASSED [  5%]
2022-05-18T04:33:47.3461590Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_batchnorm2d_noaffine PASSED [  5%]
2022-05-18T04:33:47.4711799Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_batchnorm2d_norunningstats PASSED [  5%]
2022-05-18T04:33:51.2672726Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_batchnorm3d PASSED [  6%]
2022-05-18T04:33:55.0654177Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_batchnorm3d_noaffine PASSED [  6%]
2022-05-18T04:33:55.6798589Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_batchnorm_eval_mode_train_layer PASSED [  6%]
2022-05-18T04:33:55.8998231Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_batchnorm_training Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'bn1.num_batches_tracked'. This changes graph semantics.
2022-05-18T04:33:55.8999588Z Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'bn2.num_batches_tracked'. This changes graph semantics.
2022-05-18T04:33:55.9000581Z Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'bn3.num_batches_tracked'. This changes graph semantics.
2022-05-18T04:33:56.2283815Z Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'bn1.num_batches_tracked'. This changes graph semantics.
2022-05-18T04:33:56.2284820Z Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'bn2.num_batches_tracked'. This changes graph semantics.
2022-05-18T04:33:56.2285783Z Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'bn3.num_batches_tracked'. This changes graph semantics.
2022-05-18T04:33:56.3519408Z PASSED [  6%]
2022-05-18T04:33:56.6339825Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_batchnorm_training_mode_fix_layer Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'bn1.num_batches_tracked'. This changes graph semantics.
2022-05-18T04:33:56.6341397Z Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'bn2.num_batches_tracked'. This changes graph semantics.
2022-05-18T04:33:57.0337956Z Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'bn3.num_batches_tracked'. This changes graph semantics.
2022-05-18T04:33:57.0339124Z Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'bn1.num_batches_tracked'. This changes graph semantics.
2022-05-18T04:33:57.0340094Z Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'bn2.num_batches_tracked'. This changes graph semantics.
2022-05-18T04:33:57.0341048Z Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'bn3.num_batches_tracked'. This changes graph semantics.
2022-05-18T04:33:57.1695935Z PASSED [  6%]
2022-05-18T04:33:57.2637483Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_bernoulli PASSED [  6%]
2022-05-18T04:33:57.7951239Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_binary_cross_entropy_with_logits PASSED [  6%]
2022-05-18T04:33:57.8706006Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_bitshift PASSED [  6%]
2022-05-18T04:33:57.9397201Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_bitshift_uint8 PASSED [  7%]
2022-05-18T04:33:58.0407934Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_broad_cast_tensors PASSED [  7%]
2022-05-18T04:33:58.1064456Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_bucketize PASSED [  7%]
2022-05-18T04:33:58.1332887Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_cast_to PASSED [  7%]
2022-05-18T04:33:58.1948351Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_cast_to_bool PASSED [  7%]
2022-05-18T04:33:58.2493818Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_cast_type_as_with_bfloat16 PASSED [  7%]
2022-05-18T04:33:58.2956355Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_cdist PASSED [  7%]
2022-05-18T04:33:58.3294841Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_celu PASSED [  7%]
2022-05-18T04:33:58.3607214Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_celu_alpha PASSED [  8%]
2022-05-18T04:33:58.3931959Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_celu_cast PASSED [  8%]
2022-05-18T04:33:58.4236272Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_celu_default PASSED [  8%]
2022-05-18T04:33:58.6300307Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_chunk PASSED [  8%]
2022-05-18T04:33:58.6809386Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_clamp WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:33:58.6812303Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:33:58.6821326Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:33:58.6941361Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:33:58.6944843Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:33:58.6947931Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:33:58.7135043Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:33:58.7138469Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:33:58.7147241Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:33:58.7264217Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:33:58.7267376Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:33:58.7270014Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:33:58.7295262Z PASSED [  8%]
2022-05-18T04:33:58.7492774Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_clamp_dyn WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:33:58.7495917Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:33:58.7504869Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:33:58.7709075Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:33:58.7712931Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:33:58.7721296Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:33:58.8755805Z PASSED [  8%]
2022-05-18T04:33:59.0271374Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_clip_boxes_to_image PASSED [  8%]
2022-05-18T04:33:59.0630430Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_clip_int PASSED [  8%]
2022-05-18T04:33:59.0992410Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_concat PASSED [  9%]
2022-05-18T04:33:59.1200030Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_concat_dynamic PASSED [  9%]
2022-05-18T04:33:59.1418741Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_constant_pad Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:33:59.1436319Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:33:59.1451877Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:33:59.1637583Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:33:59.1654636Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:33:59.1665722Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:33:59.1897358Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:33:59.1914788Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:33:59.1931338Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:33:59.2116387Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:33:59.2135678Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:33:59.2146764Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:33:59.2185029Z PASSED [  9%]
2022-05-18T04:34:01.8314918Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_conv PASSED [  9%]
2022-05-18T04:34:02.0961237Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_conv_bn Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'bn.num_batches_tracked'. This changes graph semantics.
2022-05-18T04:34:02.1553678Z PASSED [  9%]
2022-05-18T04:34:02.3477122Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_conv_shape_inference PASSED [  9%]
2022-05-18T04:34:02.3930453Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_conv_tbc PASSED [  9%]
2022-05-18T04:34:23.2858406Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_conv_transpose PASSED [  9%]
2022-05-18T04:34:23.4595297Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_convolution_allow_tf32 PASSED [ 10%]
2022-05-18T04:34:24.8314183Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_copy_ PASSED [ 10%]
2022-05-18T04:34:25.3935778Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_copy_ellipsis PASSED [ 10%]
2022-05-18T04:34:25.7311371Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_copy_ellipsis_script PASSED [ 10%]
2022-05-18T04:34:25.8316312Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_copy_tracing PASSED [ 10%]
2022-05-18T04:34:25.8734817Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_cosine_similarity PASSED [ 10%]
2022-05-18T04:34:25.9536662Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_cross PASSED [ 10%]
2022-05-18T04:34:27.8123484Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_crossentropyloss PASSED [ 10%]
2022-05-18T04:34:27.8934825Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_cste_script PASSED [ 11%]
2022-05-18T04:34:27.9279400Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_cumsum PASSED [ 11%]
2022-05-18T04:34:27.9956816Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_cumsum_with_cast PASSED [ 11%]
2022-05-18T04:34:28.0350816Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_data PASSED [ 11%]
2022-05-18T04:34:28.0723331Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_dequantize PASSED [ 11%]
2022-05-18T04:34:28.2903513Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_derive_index PASSED [ 11%]
2022-05-18T04:34:28.3032654Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_derive_index_scripting Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'j.11'. This changes graph semantics.
2022-05-18T04:34:28.4340542Z Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'j.11'. This changes graph semantics.
2022-05-18T04:34:28.5648742Z Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'j.11'. This changes graph semantics.
2022-05-18T04:34:28.6704847Z Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'j.11'. This changes graph semantics.
2022-05-18T04:34:28.7669151Z PASSED [ 11%]
2022-05-18T04:34:28.7896721Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_det PASSED [ 11%]
2022-05-18T04:34:28.8204736Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_device_eq PASSED [ 12%]
2022-05-18T04:34:29.1778714Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_diagonal PASSED [ 12%]
2022-05-18T04:34:29.1899692Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_dict PASSED [ 12%]
2022-05-18T04:34:29.1973265Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_dict_output PASSED [ 12%]
2022-05-18T04:34:29.2117675Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_dict_str PASSED [ 12%]
2022-05-18T04:34:29.2547272Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_dim PASSED [ 12%]
2022-05-18T04:34:29.3681572Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_dim_1 PASSED [ 12%]
2022-05-18T04:34:29.5676322Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_dist_normal PASSED [ 12%]
2022-05-18T04:34:29.6286020Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_dist_normal_correctness PASSED [ 13%]
2022-05-18T04:34:29.8242029Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_dist_uniform PASSED [ 13%]
2022-05-18T04:34:29.8835399Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_dist_uniform_correctness PASSED [ 13%]
2022-05-18T04:34:29.9419948Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_div PASSED [ 13%]
2022-05-18T04:34:30.0360951Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_div_promotion_script PASSED [ 13%]
2022-05-18T04:34:30.0764340Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_div_promotion_trace PASSED [ 13%]
2022-05-18T04:34:30.5874001Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_div_rounding_mode PASSED [ 13%]
2022-05-18T04:34:30.6284359Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_dot PASSED [ 13%]
2022-05-18T04:34:30.6696574Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_dropout PASSED [ 14%]
2022-05-18T04:34:30.7063079Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_dropout_training PASSED [ 14%]
2022-05-18T04:34:30.7655620Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_dropout_training_zero PASSED [ 14%]
2022-05-18T04:34:30.7950357Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_dtype PASSED [ 14%]
2022-05-18T04:34:30.8246572Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_dtype_eq PASSED [ 14%]
2022-05-18T04:34:30.8866675Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_dynamic_arange_out PASSED [ 14%]
2022-05-18T04:34:31.0472472Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_dynamic_arange_start_out PASSED [ 14%]
2022-05-18T04:34:31.3723327Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_dynamic_chunk PASSED [ 14%]
2022-05-18T04:34:31.8928447Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_dynamic_expand_as PASSED [ 15%]
2022-05-18T04:34:32.1865932Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_dynamic_repeat_interleave PASSED [ 15%]
2022-05-18T04:34:32.3772168Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_einsum PASSED [ 15%]
2022-05-18T04:34:32.4194048Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_elman_relu_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:32.4195268Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:32.4654801Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:32.4655880Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:32.5234576Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:32.5235120Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:32.5691018Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:32.5691647Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:32.5889753Z PASSED [ 15%]
2022-05-18T04:34:32.6312766Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_elman_relu_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:32.6313542Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:32.6768598Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:32.6769122Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:32.7345568Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:32.7346220Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:32.7802849Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:32.7803750Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:32.8001677Z PASSED [ 15%]
2022-05-18T04:34:32.8418711Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_elman_relu_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:32.8419449Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:32.8875159Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:32.8875841Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:32.9444780Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:32.9445447Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:32.9901161Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:32.9901872Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:33.0091362Z PASSED [ 15%]
2022-05-18T04:34:33.0506067Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_elman_relu_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:33.0506806Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:33.0963607Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:33.0964135Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:33.1531850Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:33.1532694Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:33.1990220Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:33.1990763Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:33.2180537Z PASSED [ 15%]
2022-05-18T04:34:33.2853855Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_elman_relu_trilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:33.2945011Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:33.3019757Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:33.3750422Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:33.3841920Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:33.3917844Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:33.4015182Z PASSED [ 15%]
2022-05-18T04:34:33.4694664Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_elman_relu_trilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:33.4784955Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:33.4860544Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:33.5596378Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:33.5687780Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:33.5763107Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:33.5859197Z PASSED [ 16%]
2022-05-18T04:34:33.6271456Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_elman_relu_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:33.6272391Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:33.6696635Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:33.6697144Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:33.7227367Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:33.7227931Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:33.7650014Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:33.7650749Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:33.7801693Z PASSED [ 16%]
2022-05-18T04:34:33.8213132Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_elman_relu_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:33.8213863Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:33.8638777Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:33.8639315Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:33.9169368Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:33.9169896Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:33.9598464Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:33.9599009Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:33.9752155Z PASSED [ 16%]
2022-05-18T04:34:34.0164809Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_elman_relu_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:34.0165533Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:34.0589772Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:34.0590639Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:34.1111377Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:34.1111913Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:34.1533714Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:34.1534239Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:34.1679983Z PASSED [ 16%]
2022-05-18T04:34:34.2091813Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_elman_relu_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:34.2092542Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:34.2516041Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:34.2516581Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:34.3034356Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:34.3034897Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:34.3457870Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:34.3458385Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:34.3607825Z PASSED [ 16%]
2022-05-18T04:34:34.3983297Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_elman_relu_trilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:34.4067239Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:34.4122943Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:34.4538201Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:34.4623286Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:34.4678964Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:34.4753334Z PASSED [ 16%]
2022-05-18T04:34:34.5131634Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_elman_relu_trilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:34.5217877Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:34.5273425Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:34.5686298Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:34.5770133Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:34.5825911Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:34.5898426Z PASSED [ 16%]
2022-05-18T04:34:34.6272726Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_elman_relu_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:34.6273449Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:34.6685479Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:34.6686000Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:34.7185158Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:34.7185723Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:34.7597809Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:34.7598332Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:34.7757936Z PASSED [ 16%]
2022-05-18T04:34:34.8140920Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_elman_relu_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:34.8141939Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:34.8553776Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:34.8554303Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:34.9051774Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:34.9052309Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:34.9468999Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:34.9469541Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:34.9622753Z PASSED [ 17%]
2022-05-18T04:34:35.0000303Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_elman_relu_trilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:35.0001012Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:35.0412437Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:35.0412962Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:35.0899146Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:35.0899673Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:35.1310894Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:35.1311426Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:35.1463206Z PASSED [ 17%]
2022-05-18T04:34:35.1838224Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_elman_relu_trilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:35.1838925Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:35.2253768Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:35.2254777Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:35.2743312Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:35.2744034Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:35.3155004Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:35.3155535Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:35.3302582Z PASSED [ 17%]
2022-05-18T04:34:35.3933077Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_elman_relu_trilayer_forward_no_initial_state_without_sequence_lengths_with_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:35.3980942Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:35.4025157Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:35.4711322Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:35.4758643Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:35.4802630Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:35.4889816Z PASSED [ 17%]
2022-05-18T04:34:35.5522572Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_elman_relu_trilayer_forward_no_initial_state_without_sequence_lengths_without_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:35.5569950Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:35.5625116Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:35.6303358Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:35.6350359Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:35.6394511Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:35.6481528Z PASSED [ 17%]
2022-05-18T04:34:35.6854867Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_elman_relu_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:35.6855634Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:35.7239434Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:35.7239964Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:35.7691003Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:35.7692030Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:35.8075990Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:35.8188669Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:35.8189474Z PASSED [ 17%]
2022-05-18T04:34:35.8560112Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_elman_relu_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:35.8560832Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:35.8943011Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:35.8943737Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:35.9391430Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:35.9392092Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:35.9776522Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:35.9777246Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:35.9887445Z PASSED [ 17%]
2022-05-18T04:34:36.0256370Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_elman_relu_trilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:36.0257404Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:36.0640653Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:36.0641192Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:36.1084564Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:36.1085123Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:36.1469207Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:36.1469770Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:36.1574827Z PASSED [ 17%]
2022-05-18T04:34:36.1946336Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_elman_relu_trilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:36.1947064Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:36.2329363Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:36.2330178Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:36.2773937Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:36.2774773Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:36.3156952Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:36.3157630Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:36.3263341Z PASSED [ 18%]
2022-05-18T04:34:36.3601599Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_elman_relu_trilayer_forward_with_initial_state_without_sequence_lengths_with_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:36.3645471Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:36.3676122Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:36.4045731Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:36.4089544Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:36.4119984Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:36.4184318Z PASSED [ 18%]
2022-05-18T04:34:36.4520344Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_elman_relu_trilayer_forward_with_initial_state_without_sequence_lengths_without_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:36.4564133Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:36.4592133Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:36.4959778Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:36.5009321Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:36.5037543Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:36.5100773Z PASSED [ 18%]
2022-05-18T04:34:36.5465296Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_elman_relu_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:36.5466015Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:36.5865278Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:36.5865822Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:36.6287459Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:36.6288150Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:36.6682204Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:36.6683110Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:36.6770875Z PASSED [ 18%]
2022-05-18T04:34:36.7138502Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_elman_relu_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:36.7139242Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:36.7529948Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:36.7530494Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:36.7956945Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:36.7957490Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:36.8348855Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:36.8349366Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:36.8442907Z PASSED [ 18%]
2022-05-18T04:34:36.8807781Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_elman_relu_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:36.8808503Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:36.9200276Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:36.9200974Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:36.9620227Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:36.9620912Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:37.0011913Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:37.0012629Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:37.0099471Z PASSED [ 18%]
2022-05-18T04:34:37.0462082Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_elman_relu_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:37.0462799Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:37.0854410Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:37.0855225Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:37.1274077Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:37.1275007Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:37.1666193Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:37.1666899Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:37.1753829Z PASSED [ 18%]
2022-05-18T04:34:37.2374848Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_elman_relu_unilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:37.2399140Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:37.2420705Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:37.3062050Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:37.3085833Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:37.3109311Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:37.3160442Z PASSED [ 18%]
2022-05-18T04:34:37.3779082Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_elman_relu_unilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:37.3803547Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:37.3824767Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:37.4459184Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:37.4483205Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:37.4504112Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:37.4552401Z PASSED [ 19%]
2022-05-18T04:34:37.4910744Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_elman_relu_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:37.4911709Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:37.5273394Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:37.5273908Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:37.5670207Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:37.5670733Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:37.6033917Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:37.6034443Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:37.6105773Z PASSED [ 19%]
2022-05-18T04:34:37.6467387Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_elman_relu_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:37.6468113Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:37.6830914Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:37.6831446Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:37.7231691Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:37.7232246Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:37.7594647Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:37.7595190Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:37.7667186Z PASSED [ 19%]
2022-05-18T04:34:37.8026003Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_elman_relu_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:37.8026721Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:37.8388522Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:37.8389478Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:37.8780662Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:37.8781313Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:37.9145598Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:37.9146270Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:37.9213324Z PASSED [ 19%]
2022-05-18T04:34:37.9574698Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_elman_relu_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:37.9575442Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:37.9939588Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:37.9940139Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:38.0334029Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:38.0334679Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:38.0698385Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:38.0698930Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:38.0765346Z PASSED [ 19%]
2022-05-18T04:34:38.1091782Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_elman_relu_unilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:38.1115032Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:38.1130652Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:38.1462353Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:38.1484963Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:38.1500355Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:38.1539104Z PASSED [ 19%]
2022-05-18T04:34:38.1862298Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_elman_relu_unilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:38.1884933Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:38.1900746Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:38.2230959Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:38.2253765Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:38.2269569Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:38.2307324Z PASSED [ 19%]
2022-05-18T04:34:38.2655659Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_elman_relu_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:38.2656446Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:38.3034070Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:38.3034618Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:38.3426692Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:38.3427270Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:38.3805548Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:38.3806248Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:38.3881739Z PASSED [ 19%]
2022-05-18T04:34:38.4230431Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_elman_relu_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:38.4231347Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:38.4609260Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:38.4609985Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:38.5005263Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:38.5005851Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:38.5387676Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:38.5388386Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:38.5464368Z PASSED [ 20%]
2022-05-18T04:34:38.5816491Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_elman_relu_unilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:38.5817218Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:38.6199953Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:38.6200664Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:38.6587948Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:38.6588595Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:38.6967720Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:38.6968392Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:38.7039733Z PASSED [ 20%]
2022-05-18T04:34:38.7390330Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_elman_relu_unilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:38.7391054Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:38.7769633Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:38.7770229Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:38.8162112Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:38.8162829Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:38.8541707Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:38.8542430Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:38.8613693Z PASSED [ 20%]
2022-05-18T04:34:38.9219052Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_elman_relu_unilayer_forward_no_initial_state_without_sequence_lengths_with_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:38.9231226Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:38.9245852Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:38.9864809Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:38.9877186Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:38.9892862Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:38.9938981Z PASSED [ 20%]
2022-05-18T04:34:39.0542275Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_elman_relu_unilayer_forward_no_initial_state_without_sequence_lengths_without_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:39.0554097Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:39.0568329Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:39.1190865Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:39.1203560Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:39.1218341Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:39.1266057Z PASSED [ 20%]
2022-05-18T04:34:39.1612937Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_elman_relu_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:39.1613666Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:39.1963759Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:39.1964515Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:39.2337783Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:39.2338518Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:39.2689758Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:39.2690307Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:39.2748973Z PASSED [ 20%]
2022-05-18T04:34:39.3091392Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_elman_relu_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:39.3092173Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:39.3444462Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:39.3445427Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:39.3817602Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:39.3818245Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:39.4169223Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:39.4169931Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:39.4233228Z PASSED [ 20%]
2022-05-18T04:34:39.4578451Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_elman_relu_unilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:39.4579183Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:39.4928460Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:39.4929167Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:39.5295935Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:39.5296624Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:39.5647302Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:39.5648033Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:39.5703837Z PASSED [ 20%]
2022-05-18T04:34:39.6048995Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_elman_relu_unilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:39.6049717Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:39.6400183Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:39.6400887Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:39.6768266Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:39.6769085Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:39.7118681Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:39.7119389Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:39.7173144Z PASSED [ 20%]
2022-05-18T04:34:39.7485023Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_elman_relu_unilayer_forward_with_initial_state_without_sequence_lengths_with_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:39.7496521Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:39.7505879Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:39.7824517Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:39.7836126Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:39.7844798Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:39.7883973Z PASSED [ 21%]
2022-05-18T04:34:39.8195787Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_elman_relu_unilayer_forward_with_initial_state_without_sequence_lengths_without_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:39.8207257Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:39.8216491Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:39.8534150Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:39.8546035Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:39.8555073Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:39.8594206Z PASSED [ 21%]
2022-05-18T04:34:39.9014929Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_elman_tanh_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:39.9015639Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:39.9472983Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:39.9473513Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:40.0058856Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:40.0059388Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:40.0516152Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:40.0516974Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:40.0715405Z PASSED [ 21%]
2022-05-18T04:34:40.1132128Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_elman_tanh_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:40.1132861Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:40.1587658Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:40.1588206Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:40.2163164Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:40.2163715Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:40.2620759Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:40.2621722Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:40.2820145Z PASSED [ 21%]
2022-05-18T04:34:40.3238341Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_elman_tanh_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:40.3239684Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:40.3695772Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:40.3696557Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:40.4264100Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:40.4264738Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:40.4718858Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:40.4719558Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:40.4915270Z PASSED [ 21%]
2022-05-18T04:34:40.5329043Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_elman_tanh_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:40.5329766Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:40.5785246Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:40.5785844Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:40.6353727Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:40.6354276Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:40.6811473Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:40.6812000Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:40.7007633Z PASSED [ 21%]
2022-05-18T04:34:40.7682140Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_elman_tanh_trilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:40.7773545Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:40.7849115Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:40.8592179Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:40.8683393Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:40.8758706Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:40.8855799Z PASSED [ 21%]
2022-05-18T04:34:40.9532011Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_elman_tanh_trilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:40.9628854Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:40.9709810Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:41.0454001Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:41.0545764Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:41.0627558Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:41.0725809Z PASSED [ 21%]
2022-05-18T04:34:41.1139971Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_elman_tanh_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:41.1141339Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:41.1564771Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:41.1565686Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:41.2091967Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:41.2092965Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:41.2518237Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:41.2519139Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:41.2671698Z PASSED [ 22%]
2022-05-18T04:34:41.3083588Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_elman_tanh_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:41.3085216Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:41.3511674Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:41.3512611Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:41.4036188Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:41.4037181Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:41.4460871Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:41.4461818Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:41.4611899Z PASSED [ 22%]
2022-05-18T04:34:41.5022785Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_elman_tanh_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:41.5024122Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:41.5447309Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:41.5448243Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:41.5969596Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:41.5970581Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:41.6394210Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:41.6395156Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:41.6539786Z PASSED [ 22%]
2022-05-18T04:34:41.6949363Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_elman_tanh_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:41.6950711Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:41.7374677Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:41.7375657Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:41.7895804Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:41.7896815Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:41.8322174Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:41.8323168Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:41.8468427Z PASSED [ 22%]
2022-05-18T04:34:41.8848510Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_elman_tanh_trilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:41.8934437Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:41.8992046Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:41.9413067Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:41.9499779Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:41.9556102Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:41.9632149Z PASSED [ 22%]
2022-05-18T04:34:42.0015089Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_elman_tanh_trilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:42.0103549Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:42.0160521Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:42.0582367Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:42.0670166Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:42.0726913Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:42.0802870Z PASSED [ 22%]
2022-05-18T04:34:42.1185498Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_elman_tanh_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:42.1186828Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:42.1602352Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:42.1603336Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:42.2104171Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:42.2105198Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:42.2517099Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:42.2518071Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:42.2670457Z PASSED [ 22%]
2022-05-18T04:34:42.3046635Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_elman_tanh_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:42.3047966Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:42.3461877Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:42.3462861Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:42.3957226Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:42.4371685Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:42.4372666Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:42.4525512Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:42.4526311Z PASSED [ 22%]
2022-05-18T04:34:42.4902556Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_elman_tanh_trilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:42.4904192Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:42.5315865Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:42.5316403Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:42.5809949Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:42.5810495Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:42.6222037Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:42.6222592Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:42.6375283Z PASSED [ 23%]
2022-05-18T04:34:42.6747736Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_elman_tanh_trilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:42.6748506Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:42.7160361Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:42.7160893Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:42.7646442Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:42.7646984Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:42.8059492Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:42.8060021Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:42.8205195Z PASSED [ 23%]
2022-05-18T04:34:42.8838240Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_elman_tanh_trilayer_forward_no_initial_state_without_sequence_lengths_with_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:42.8885812Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:42.8929802Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:42.9611890Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:42.9660218Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:42.9704257Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:42.9791798Z PASSED [ 23%]
2022-05-18T04:34:43.0426005Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_elman_tanh_trilayer_forward_no_initial_state_without_sequence_lengths_without_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:43.0473516Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:43.0517950Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:43.1209533Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:43.1256685Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:43.1301314Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:43.1390515Z PASSED [ 23%]
2022-05-18T04:34:43.1768151Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_elman_tanh_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:43.1768856Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:43.2151839Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:43.2152360Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:43.2604525Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:43.2605085Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:43.2987839Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:43.2988589Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:43.3100980Z PASSED [ 23%]
2022-05-18T04:34:43.3473207Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_elman_tanh_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:43.3473906Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:43.3856247Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:43.3856783Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:43.4308809Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:43.4309340Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:43.4696997Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:43.4697523Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:43.4811883Z PASSED [ 23%]
2022-05-18T04:34:43.5184150Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_elman_tanh_trilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:43.5184834Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:43.5568153Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:43.5568676Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:43.6019753Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:43.6020304Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:43.6405473Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:43.6406072Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:43.6512580Z PASSED [ 23%]
2022-05-18T04:34:43.6882543Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_elman_tanh_trilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:43.6883238Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:43.7270405Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:43.7270929Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:43.7714773Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:43.7715508Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:43.8097965Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:43.8098503Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:43.8208659Z PASSED [ 23%]
2022-05-18T04:34:43.8546061Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_elman_tanh_trilayer_forward_with_initial_state_without_sequence_lengths_with_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:43.8590282Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:43.8618215Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:43.8990413Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:43.9034759Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:43.9062972Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:43.9125843Z PASSED [ 24%]
2022-05-18T04:34:43.9465329Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_elman_tanh_trilayer_forward_with_initial_state_without_sequence_lengths_without_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:43.9509161Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:43.9537150Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:43.9908156Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:43.9953684Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:43.9982224Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:44.0047154Z PASSED [ 24%]
2022-05-18T04:34:44.0411264Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_elman_tanh_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:44.0411976Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:44.0805749Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:44.0806282Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:44.1230199Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:44.1230741Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:44.1622015Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:44.1622537Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:44.1709384Z PASSED [ 24%]
2022-05-18T04:34:44.2071944Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_elman_tanh_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:44.2072652Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:44.2466739Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:44.2467263Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:44.2885107Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:44.2885638Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:44.3280794Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:44.3281551Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:44.3368669Z PASSED [ 24%]
2022-05-18T04:34:44.3730435Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_elman_tanh_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:44.3731202Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:44.4122167Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:44.4123116Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:44.4535803Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:44.4536542Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:44.4927179Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:44.4927891Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:44.5010120Z PASSED [ 24%]
2022-05-18T04:34:44.5373148Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_elman_tanh_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:44.5373859Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:44.5766153Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:44.5766795Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:44.6180125Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:44.6180687Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:44.6572039Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:44.6572582Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:44.6659239Z PASSED [ 24%]
2022-05-18T04:34:44.7279163Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_elman_tanh_unilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:44.7303848Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:44.7325026Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:44.7961029Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:44.7985825Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:44.8006913Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:44.8056572Z PASSED [ 24%]
2022-05-18T04:34:44.8678819Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_elman_tanh_unilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:44.8703891Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:44.8725133Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:44.9362486Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:44.9387200Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:44.9408472Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:44.9458425Z PASSED [ 24%]
2022-05-18T04:34:44.9818611Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_elman_tanh_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:44.9819313Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:45.0183054Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:45.0183572Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:45.0587902Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:45.0588704Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:45.0954554Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:45.0955076Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:45.1032210Z PASSED [ 25%]
2022-05-18T04:34:45.1398107Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_elman_tanh_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:45.1399160Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:45.1762365Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:45.1762909Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:45.2164266Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:45.2164823Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:45.2527154Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:45.2527685Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:45.2599377Z PASSED [ 25%]
2022-05-18T04:34:45.2958358Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_elman_tanh_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:45.2959117Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:45.3325159Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:45.3325846Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:45.3714220Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:45.3714873Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:45.4076747Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:45.4077418Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:45.4140972Z PASSED [ 25%]
2022-05-18T04:34:45.4497472Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_elman_tanh_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:45.4498271Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:45.4862736Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:45.4863297Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:45.5252271Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:45.5252824Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:45.5615898Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:45.5616442Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:45.5682478Z PASSED [ 25%]
2022-05-18T04:34:45.6007411Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_elman_tanh_unilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:45.6030570Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:45.6045827Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:45.6378820Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:45.6401504Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:45.6416933Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:45.6456496Z PASSED [ 25%]
2022-05-18T04:34:45.6780160Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_elman_tanh_unilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:45.6805812Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:45.6821860Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:45.7155522Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:45.7181117Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:45.7196669Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:45.7236243Z PASSED [ 25%]
2022-05-18T04:34:45.7585553Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_elman_tanh_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:45.7586254Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:45.7964178Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:45.7964709Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:45.8358696Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:45.8359222Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:45.8738792Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:45.8739320Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:45.8814704Z PASSED [ 25%]
2022-05-18T04:34:45.9164005Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_elman_tanh_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:45.9164700Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:45.9544072Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:45.9544611Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:45.9939088Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:45.9939632Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:46.0317841Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:46.0318395Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:46.0394232Z PASSED [ 25%]
2022-05-18T04:34:46.0744972Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_elman_tanh_unilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:46.0745755Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:46.1127425Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:46.1127945Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:46.1517959Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:46.1518505Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:46.1897117Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:46.1897762Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:46.1969684Z PASSED [ 26%]
2022-05-18T04:34:46.2318299Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_elman_tanh_unilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:46.2319006Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:46.2697794Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:46.2698352Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:46.3084833Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:46.3085580Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:46.3465281Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:46.3465882Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:46.3535140Z PASSED [ 26%]
2022-05-18T04:34:46.4136855Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_elman_tanh_unilayer_forward_no_initial_state_without_sequence_lengths_with_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:46.4150009Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:46.4164405Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:46.4783346Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:46.4796670Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:46.4810654Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:46.4856289Z PASSED [ 26%]
2022-05-18T04:34:46.5456472Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_elman_tanh_unilayer_forward_no_initial_state_without_sequence_lengths_without_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:46.5470504Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:46.5486044Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:46.6105526Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:46.6118283Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:46.6133815Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:46.6180586Z PASSED [ 26%]
2022-05-18T04:34:46.6523980Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_elman_tanh_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:46.6524675Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:46.6875851Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:46.6876375Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:46.7246962Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:46.7247517Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:46.7599428Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:46.7600184Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:46.7659580Z PASSED [ 26%]
2022-05-18T04:34:46.8005126Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_elman_tanh_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:46.8005896Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:46.8357161Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:46.8357755Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:46.8730021Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:46.8730538Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:46.9081038Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:46.9081572Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:46.9140180Z PASSED [ 26%]
2022-05-18T04:34:46.9482676Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_elman_tanh_unilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:46.9483361Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:46.9834700Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:46.9835435Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:47.0198815Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:47.0199571Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:47.0551387Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:47.0551937Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:47.0604433Z PASSED [ 26%]
2022-05-18T04:34:47.0946402Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_elman_tanh_unilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:47.0947122Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:47.1296147Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:47.1296852Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:47.1661502Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:47.1662164Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:47.2013082Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:47.2013745Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:47.2068869Z PASSED [ 26%]
2022-05-18T04:34:47.2384140Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_elman_tanh_unilayer_forward_with_initial_state_without_sequence_lengths_with_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:47.2395496Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:47.2404798Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:47.2725503Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:47.2736831Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:47.2746335Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:47.2784226Z PASSED [ 27%]
2022-05-18T04:34:47.3094418Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_elman_tanh_unilayer_forward_with_initial_state_without_sequence_lengths_without_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:47.3106059Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:47.3115395Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:47.3433215Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:47.3444431Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:47.3453789Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:47.3489853Z PASSED [ 27%]
2022-05-18T04:34:47.5029980Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_embedding PASSED [ 27%]
2022-05-18T04:34:47.6354493Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_embedding_bag PASSED [ 27%]
2022-05-18T04:34:47.7926403Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_embedding_bag_1d_per_sample_weights PASSED [ 27%]
2022-05-18T04:34:48.0035846Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_embedding_bag_2d_per_sample_weights PASSED [ 27%]
2022-05-18T04:34:48.0059671Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_embedding_bag_dynamic_input SKIPPED [ 27%]
2022-05-18T04:34:48.0292001Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_embedding_model_with_external_data PASSED [ 27%]
2022-05-18T04:34:48.1963471Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_embedding_module PASSED [ 28%]
2022-05-18T04:34:48.3241142Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_embedding_renorm PASSED [ 28%]
2022-05-18T04:34:48.3665080Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_empty_branch PASSED [ 28%]
2022-05-18T04:34:48.3770576Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_empty_constant_shape Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'x.1'. This changes graph semantics.
2022-05-18T04:34:48.4373497Z Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'x.1'. This changes graph semantics.
2022-05-18T04:34:48.4975298Z Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'x.1'. This changes graph semantics.
2022-05-18T04:34:48.5640236Z Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'x.1'. This changes graph semantics.
2022-05-18T04:34:48.6580266Z PASSED [ 28%]
2022-05-18T04:34:48.6735194Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_empty_kwargs PASSED [ 28%]
2022-05-18T04:34:48.7543648Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_eq PASSED [ 28%]
2022-05-18T04:34:48.8867958Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_expand PASSED [ 28%]
2022-05-18T04:34:49.0625984Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_eye PASSED [ 28%]
2022-05-18T04:34:49.0854286Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_fake_quantize_activation WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:49.0860752Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:49.0866054Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:49.0905330Z PASSED [ 29%]
2022-05-18T04:34:49.1708275Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_fake_quantize_per_channel PASSED [ 29%]
2022-05-18T04:34:49.2195445Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_fake_quantize_per_tensor PASSED [ 29%]
2022-05-18T04:34:49.2572282Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_fake_quantize_per_tensor_dynamic_scale_zeropoint PASSED [ 29%]
2022-05-18T04:34:50.1718177Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_faster_rcnn [W LegacyTypeDispatch.h:79] Warning: AutoNonVariableTypeMode is deprecated and will be removed in 1.10 release. For kernel implementations please use AutoDispatchBelowADInplaceOrView instead, If you are looking for a user facing API to enable running your inference-only workload, please use c10::InferenceMode. Using AutoDispatchBelowADInplaceOrView in user code is under risk of producing silent wrong result in some edge cases. See Note [AutoDispatchBelowAutograd] for more details. (function operator())
2022-05-18T04:34:53.0497895Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:53.0498466Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:53.3685103Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:34:53.3685655Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:35:04.0593488Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:35:04.0594055Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:35:04.2910477Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:35:04.2911023Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:35:04.5204211Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:35:04.5205461Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:35:11.5263257Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:35:11.5537661Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:35:20.9198446Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:35:20.9523209Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:35:26.8663712Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:35:26.8664657Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:35:26.8800642Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:35:26.8801518Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:35:26.9160353Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:35:26.9368161Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:35:27.4261739Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:35:27.4262269Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:35:27.4349372Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:35:27.4350081Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:35:27.4432885Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:35:27.4434212Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:35:27.7255087Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:35:27.7270351Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:35:28.1281065Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:35:28.1296433Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:35:28.3088437Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:35:28.3088980Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:35:28.3208726Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:35:28.3209277Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:35:28.3484915Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:35:28.3612469Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:35:28.4829353Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:35:28.4829960Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:35:28.4904373Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:35:28.4905089Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:35:28.4978507Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:35:28.4979006Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:35:28.7022966Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:35:28.7026269Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:35:29.0575959Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:35:29.0579150Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:35:35.3073489Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:35:35.3076267Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:35:35.6189066Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:35:35.6189984Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:35:46.1615373Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:35:46.1616284Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:35:46.3877192Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:35:46.3877737Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:35:46.6171120Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:35:46.6171646Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:35:53.5295968Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:35:53.5565623Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:36:02.9524337Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:36:02.9847939Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:36:08.9343181Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:36:08.9344758Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:36:08.9472999Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:36:08.9474047Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:36:08.9813126Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:36:09.0005740Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:36:09.4651638Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:36:09.4652502Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:36:09.4733799Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:36:09.4734347Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:36:09.4814310Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:36:09.4814974Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:36:09.7472245Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:36:09.7486426Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:36:10.1348904Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:36:10.1363328Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:36:10.3116495Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:36:10.3117282Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:36:10.3229046Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:36:10.3229653Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:36:10.3485963Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:36:10.3604528Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:36:10.4755018Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:36:10.4755554Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:36:10.4826817Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:36:10.4827392Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:36:10.4898326Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:36:10.4898861Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:36:10.6801141Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:36:10.6804726Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:36:11.0215540Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:36:11.0218213Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:36:15.8602120Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:36:15.8603284Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:36:25.8364970Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:36:25.8365516Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:36:26.0567502Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:36:26.0568018Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:36:26.2762772Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:36:26.2763277Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:36:32.8974957Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:36:32.9236026Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:36:40.1366164Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:36:40.1673091Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:36:43.4191108Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:36:43.4191649Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:36:43.4465643Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:36:43.8962605Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:36:43.8963178Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:36:43.9043078Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:36:43.9043793Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:36:43.9121821Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:36:43.9122385Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:36:44.1724798Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:36:44.1738389Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:36:44.4634218Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:36:44.4647992Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:36:44.5796843Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:36:44.5797371Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:36:44.5991362Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:36:44.7117598Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:36:44.7118133Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:36:44.7187982Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:36:44.7188489Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:36:44.7257417Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:36:44.7257920Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:36:44.9084771Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:36:44.9087507Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:36:45.1576641Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:36:45.1579876Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:36:51.1507257Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:36:51.1507800Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:01.1653654Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:01.1654453Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:01.3837530Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:01.3838080Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:01.6040649Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:01.6041203Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:08.2326607Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:08.2588278Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:15.4937669Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:15.5244237Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:18.7718084Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:18.7718977Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:18.7991288Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:19.2525219Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:19.2526106Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:19.2606415Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:19.2606963Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:19.2685567Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:19.2686100Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:19.5305574Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:19.5318976Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:19.8015044Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:19.8029070Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:19.9201027Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:19.9201545Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:19.9397588Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:20.0497695Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:20.0498217Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:20.0567615Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:20.0637202Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:20.0637714Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:20.0638211Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:20.2482458Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:20.2484955Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:20.4759441Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:20.4761830Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:23.7206520Z PASSED [ 29%]
2022-05-18T04:37:23.7644319Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_fill PASSED [ 29%]
2022-05-18T04:37:23.8331383Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_flatten PASSED [ 29%]
2022-05-18T04:37:23.8680456Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_flatten2d PASSED [ 29%]
2022-05-18T04:37:23.9424158Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_flatten2d_neg PASSED [ 30%]
2022-05-18T04:37:23.9828450Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_flatten_dynamic_axes PASSED [ 30%]
2022-05-18T04:37:24.0136563Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_flip PASSED [ 30%]
2022-05-18T04:37:24.1017044Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_floating_point PASSED [ 30%]
2022-05-18T04:37:24.2387434Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_floating_point_infer_dtype PASSED [ 30%]
2022-05-18T04:37:24.6737959Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_floor_div PASSED [ 30%]
2022-05-18T04:37:24.7046594Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_floor_div_script PASSED [ 30%]
2022-05-18T04:37:24.8617936Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_floordiv PASSED [ 30%]
2022-05-18T04:37:24.8848428Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_fmod PASSED [ 31%]
2022-05-18T04:37:24.9149791Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_fmod_scalar PASSED [ 31%]
2022-05-18T04:37:25.0240798Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_frobenius_norm PASSED [ 31%]
2022-05-18T04:37:25.0626942Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_frobenius_norm_keepdim PASSED [ 31%]
2022-05-18T04:37:25.1109826Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_full_like PASSED [ 31%]
2022-05-18T04:37:25.1731489Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_full_like_value PASSED [ 31%]
2022-05-18T04:37:25.1975719Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_full_script PASSED [ 31%]
2022-05-18T04:37:25.2449746Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_full_trace PASSED [ 31%]
2022-05-18T04:37:25.2744178Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_fuse_addmm PASSED [ 32%]
2022-05-18T04:37:25.3972223Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_fuse_conv_bn1d PASSED [ 32%]
2022-05-18T04:37:25.5261306Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_fuse_conv_bn2d PASSED [ 32%]
2022-05-18T04:37:25.6752965Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_fuse_conv_bn3d PASSED [ 32%]
2022-05-18T04:37:25.7674017Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_fuse_conv_in_block PASSED [ 32%]
2022-05-18T04:37:25.8033450Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_gather PASSED [ 32%]
2022-05-18T04:37:25.8326112Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_gather_constant_fold WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:25.8443019Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:25.8447857Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:25.8753770Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:37:25.8764207Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:37:25.8834416Z Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: '0'. This changes graph semantics.
2022-05-18T04:37:25.9109911Z PASSED [ 32%]
2022-05-18T04:37:25.9956892Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_ge PASSED [ 32%]
2022-05-18T04:37:26.0503307Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_ge_scalar PASSED [ 33%]
2022-05-18T04:37:26.0831497Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_gelu PASSED [ 33%]
2022-05-18T04:37:26.1152439Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_getitem PASSED [ 33%]
2022-05-18T04:37:26.1495639Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_glu PASSED [ 33%]
2022-05-18T04:37:26.1519172Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_grid_sample SKIPPED [ 33%]
2022-05-18T04:37:35.2760877Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_groupnorm PASSED [ 33%]
2022-05-18T04:37:35.7335629Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_groupnorm_noaffine PASSED [ 33%]
2022-05-18T04:37:35.9392378Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_gru_constant_folding WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:35.9687916Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:35.9847192Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:36.0230336Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:36.0482878Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:36.0629661Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:36.2568712Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:36.2800179Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:36.2931598Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:36.3307751Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:36.3495337Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:36.3603070Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:36.3671494Z PASSED [ 33%]
2022-05-18T04:37:36.5482020Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_gru_no_bias WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:36.5536179Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:36.5600858Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:36.5663332Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:36.5688939Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:36.5719158Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:36.5772055Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:36.5773148Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:36.5778733Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:36.6132285Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:36.6181480Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:36.6240213Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:36.6266910Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:36.6294978Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:36.6328730Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:36.6342002Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:36.6342511Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:36.6347164Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:36.8062536Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:36.8088306Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:36.8122089Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:36.8156219Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:36.8209079Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:36.8222466Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:36.8238115Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:36.8253953Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:36.8303303Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:36.8303805Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:36.8307842Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:36.8311013Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:36.8660702Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:36.8685405Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:36.8716412Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:36.8747530Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:36.8768085Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:36.8782042Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:36.8799209Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:36.8816989Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:36.8827455Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:36.8827952Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:36.8831912Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:36.8835643Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:36.8895140Z PASSED [ 34%]
2022-05-18T04:37:37.1223273Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_gru_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:37.1223977Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:37.1802770Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:37.1803328Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:37.2698708Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:37.2699241Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:37.3434616Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:37.3435180Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:37.5638480Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:37.5639035Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:37.6218097Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:37.6218633Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:37.7093931Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:37.7094452Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:37.7829065Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:37.7829586Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:37.8249383Z PASSED [ 34%]
2022-05-18T04:37:38.0310344Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_gru_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:38.0311715Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:38.0896784Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:38.0897836Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:38.1810569Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:38.1811605Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:38.2551463Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:38.2552416Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:38.4732506Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:38.4733545Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:38.5312400Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:38.5313427Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:38.6186542Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:38.6187544Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:38.6922369Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:38.6923358Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:38.7342038Z PASSED [ 34%]
2022-05-18T04:37:38.9423606Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_gru_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:38.9424951Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:39.0003568Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:39.0004861Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:39.0903423Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:39.0904401Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:39.1646759Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:39.1647643Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:39.3864777Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:39.3865795Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:39.4447763Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:39.4448807Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:39.5322053Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:39.5323100Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:39.6060177Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:39.6061085Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:39.6477415Z PASSED [ 34%]
2022-05-18T04:37:39.8536204Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_gru_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:39.8537966Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:39.9115692Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:39.9116641Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:40.0010481Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:40.0011801Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:40.0749449Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:40.0750375Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:40.2929546Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:40.2930557Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:40.3511922Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:40.3512931Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:40.4382675Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:40.4383697Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:40.5117506Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:40.5128800Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:40.5536516Z PASSED [ 34%]
2022-05-18T04:37:40.7515975Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_gru_trilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:40.7948311Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:40.8180019Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:40.8947125Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:40.9349740Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:40.9612123Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:41.1606255Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:41.2038710Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:41.2245804Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:41.3011330Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:41.3409588Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:41.3671570Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:41.3770152Z PASSED [ 34%]
2022-05-18T04:37:41.5738514Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_gru_trilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:41.6173018Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:41.6404100Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:41.7165831Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:41.7564606Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:41.7828718Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:41.9835691Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:42.0270496Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:42.0478796Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:42.1251635Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:42.1652014Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:42.1915993Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:42.2015450Z PASSED [ 34%]
2022-05-18T04:37:42.3876138Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_gru_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:42.3876882Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:42.4314905Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:42.4315444Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:42.5192285Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:42.5192827Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:42.5900803Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:42.5901389Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:42.8051069Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:42.8051605Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:42.8491503Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:42.8492112Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:42.9351835Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:42.9352431Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:43.0056747Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:43.0057396Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:43.0436135Z PASSED [ 34%]
2022-05-18T04:37:43.2278332Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_gru_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:43.2279062Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:43.2715793Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:43.2716331Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:43.3596897Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:43.3597460Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:43.4302754Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:43.4303296Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:43.6410367Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:43.6410976Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:43.6849776Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:43.6850372Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:43.7701194Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:43.7701733Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:43.8402347Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:43.8402948Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:43.8776018Z PASSED [ 35%]
2022-05-18T04:37:44.0631328Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_gru_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:44.0632380Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:44.1070021Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:44.1070582Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:44.1936349Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:44.1936959Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:44.2641549Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:44.2642344Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:44.4778437Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:44.4779447Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:44.5220417Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:44.5221399Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:44.6074230Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:44.6075241Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:44.6779538Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:44.7152985Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:44.7153755Z PASSED [ 35%]
2022-05-18T04:37:44.8986294Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_gru_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:44.8987652Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:44.9426932Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:44.9427880Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:45.0298108Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:45.0299109Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:45.1012566Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:45.1013466Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:45.3123726Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:45.3125051Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:45.3568737Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:45.3569748Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:45.4424890Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:45.4425927Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:45.5135250Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:45.5136102Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:45.5510659Z PASSED [ 35%]
2022-05-18T04:37:45.7575312Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_gru_trilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:45.8005572Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:45.8234219Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:45.8675962Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:45.9070654Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:45.9313536Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:46.1383293Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:46.1818559Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:46.2017325Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:46.2467366Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:46.2857669Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:46.3101279Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:46.3178799Z PASSED [ 35%]
2022-05-18T04:37:46.5233840Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_gru_trilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:46.5662127Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:46.5889857Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:46.6332288Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:46.6724622Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:46.6967180Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:46.9038531Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:46.9467665Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:46.9663787Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:47.0106704Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:47.0500749Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:47.0744323Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:47.0824452Z PASSED [ 35%]
2022-05-18T04:37:47.2524082Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_gru_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:47.2524995Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:47.2927369Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:47.2927899Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:47.3643767Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:47.3644301Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:47.4186764Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:47.4187290Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:47.5834920Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:47.5835472Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:47.6242034Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:47.6243002Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:47.6939433Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:47.6940502Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:47.7481662Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:47.7482248Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:47.7738868Z PASSED [ 35%]
2022-05-18T04:37:47.9402470Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_gru_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:47.9403177Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:47.9806876Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:47.9807734Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:48.0530172Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:48.0530782Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:48.1072097Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:48.1072798Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:48.2697428Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:48.2697979Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:48.3101988Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:48.3102497Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:48.3807445Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:48.3808006Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:48.4348641Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:48.4349175Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:48.4605482Z PASSED [ 35%]
2022-05-18T04:37:48.6303125Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_gru_trilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:48.6303860Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:48.6709001Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:48.6709529Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:48.7433892Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:48.7434708Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:48.7975963Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:48.7976498Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:48.9620380Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:48.9620917Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:49.0023661Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:49.0024394Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:49.0706814Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:49.0707351Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:49.1246833Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:49.1247580Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:49.1494004Z PASSED [ 35%]
2022-05-18T04:37:49.3157970Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_gru_trilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:49.3158674Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:49.3562477Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:49.3563190Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:49.4278556Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:49.4279243Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:49.4822059Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:49.4822781Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:49.6443756Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:49.6444359Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:49.6848561Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:49.6849199Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:49.7537638Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:49.7538587Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:49.8079369Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:49.8080122Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:49.8324957Z PASSED [ 36%]
2022-05-18T04:37:49.9890614Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_gru_trilayer_forward_no_initial_state_without_sequence_lengths_with_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:50.0120800Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:50.0256556Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:50.0951988Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:50.1142076Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:50.1265715Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:50.2858186Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:50.3089232Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:50.3204383Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:50.3900556Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:50.4090259Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:50.4213040Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:50.4300987Z PASSED [ 36%]
2022-05-18T04:37:50.5872373Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_gru_trilayer_forward_no_initial_state_without_sequence_lengths_without_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:50.6104522Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:50.6241227Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:50.6941103Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:50.7133136Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:50.7256839Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:50.8857573Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:50.9088738Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:50.9203951Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:50.9900830Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:51.0089252Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:51.0211816Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:51.0299472Z PASSED [ 36%]
2022-05-18T04:37:51.1792971Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_gru_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:51.1793689Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:51.2062377Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:51.2062907Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:51.2760929Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:51.2761493Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:51.3274728Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:51.3275289Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:51.4886312Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:51.4886867Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:51.5151203Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:51.5151732Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:51.5820804Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:51.5821339Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:51.6332891Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:51.6333418Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:51.6542673Z PASSED [ 36%]
2022-05-18T04:37:51.8015677Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_gru_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:51.8016382Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:51.8282090Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:51.8282609Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:51.8984445Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:51.8984962Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:51.9501582Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:51.9502344Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:52.1077310Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:52.1077842Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:52.1347638Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:52.1348171Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:52.2016830Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:52.2017385Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:52.2532250Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:52.2532770Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:52.2742018Z PASSED [ 36%]
2022-05-18T04:37:52.4240031Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_gru_trilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:52.4240720Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:52.4505153Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:52.4505679Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:52.5197293Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:52.5197830Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:52.5710716Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:52.5711251Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:52.7308895Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:52.7309619Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:52.7574167Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:52.7574824Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:52.8237202Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:52.8237735Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:52.8752923Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:52.8753661Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:52.8958614Z PASSED [ 36%]
2022-05-18T04:37:53.0426398Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_gru_trilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:53.0427098Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:53.0693419Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:53.0693964Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:53.1386333Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:53.1386860Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:53.1898992Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:53.1899562Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:53.3470273Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:53.3470852Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:53.3736665Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:53.3737255Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:53.4403195Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:53.4403878Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:53.4915397Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:53.4916130Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:53.5118521Z PASSED [ 36%]
2022-05-18T04:37:53.6787431Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_gru_trilayer_forward_with_initial_state_without_sequence_lengths_with_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:53.7019956Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:53.7152566Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:53.7537776Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:53.7733012Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:53.7839271Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:53.9504936Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:53.9734443Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:53.9837573Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:54.0222800Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:54.0410269Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:54.0516727Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:54.0586440Z PASSED [ 36%]
2022-05-18T04:37:54.2261884Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_gru_trilayer_forward_with_initial_state_without_sequence_lengths_without_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:54.2490805Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:54.2622837Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:54.3004218Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:54.3191245Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:54.3297392Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:54.4962145Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:54.5193325Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:54.5295784Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:54.5678076Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:54.5865445Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:54.5971091Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:54.6038912Z PASSED [ 37%]
2022-05-18T04:37:54.7682320Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_gru_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:54.7683047Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:54.8024331Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:54.8025116Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:54.8659266Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:54.8659810Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:54.9133749Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:54.9134307Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:55.0625882Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:55.0626439Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:55.0969092Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:55.0969743Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:55.1578383Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:55.1579077Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:55.2052895Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:55.2053470Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:55.2205271Z PASSED [ 37%]
2022-05-18T04:37:55.3825976Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_gru_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:55.3826705Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:55.4166978Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:55.4167614Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:55.4801810Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:55.4802452Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:55.5276505Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:55.5277134Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:55.6746009Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:55.6746660Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:55.7088191Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:55.7089077Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:55.7697180Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:55.7697806Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:55.8171052Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:55.8171754Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:55.8322426Z PASSED [ 37%]
2022-05-18T04:37:55.9959235Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_gru_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:55.9959960Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:56.0299648Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:56.0300409Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:56.0928740Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:56.0929392Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:56.1404560Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:56.1405087Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:56.2889062Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:56.2890080Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:56.3235211Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:56.3236215Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:56.3841473Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:56.3842802Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:56.4317376Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:56.4318230Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:56.4464320Z PASSED [ 37%]
2022-05-18T04:37:56.6073142Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_gru_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:56.6074525Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:56.6417069Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:56.6418102Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:56.7048010Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:56.7522130Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:56.7523050Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:56.7524007Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:56.8974306Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:56.8975524Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:56.9317618Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:56.9318184Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:56.9919316Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:56.9919851Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:57.0393231Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:57.0393740Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:57.0538803Z PASSED [ 37%]
2022-05-18T04:37:57.2033986Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_gru_unilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:57.2192587Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:57.2287326Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:57.2934053Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:57.3051188Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:57.3122825Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:57.4584373Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:57.4742752Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:57.4813490Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:57.5459998Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:57.5575693Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:57.5647116Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:57.5700739Z PASSED [ 37%]
2022-05-18T04:37:57.7177893Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_gru_unilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:57.7334449Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:57.7426279Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:57.8069936Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:57.8184725Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:57.8255024Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:57.9714765Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:57.9872872Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:57.9944951Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:58.0593413Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:58.0711804Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:58.0784660Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:58.0840080Z PASSED [ 37%]
2022-05-18T04:37:58.2228060Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_gru_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:58.2229402Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:58.2432794Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:58.2433359Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:58.3045730Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:58.3046282Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:58.3494843Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:58.3495381Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:58.4906768Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:58.4907314Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:58.5109456Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:58.5110101Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:58.5693547Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:58.5694099Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:58.6140643Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:58.6141166Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:58.6274387Z PASSED [ 37%]
2022-05-18T04:37:58.7626215Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_gru_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:58.7627162Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:58.7830022Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:58.7830553Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:58.8443464Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:58.8444050Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:58.8891686Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:58.8892270Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:59.0286917Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:59.0287452Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:59.0490040Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:59.0490550Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:59.1078366Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:59.1079367Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:59.1526363Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:59.1527498Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:59.1661278Z PASSED [ 38%]
2022-05-18T04:37:59.3044767Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_gru_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:59.3046101Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:59.3250366Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:59.3251626Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:59.3858118Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:59.3859118Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:59.4306794Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:59.4307703Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:59.5723304Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:59.5724308Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:59.5928061Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:59.5929046Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:59.6511136Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:59.6512155Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:59.6959180Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:59.6960059Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:59.7088513Z PASSED [ 38%]
2022-05-18T04:37:59.8453006Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_gru_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:59.8454883Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:59.8658697Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:59.8659702Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:59.9269010Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:59.9270046Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:59.9716063Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:37:59.9716969Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:00.1104634Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:00.1105670Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:00.1308835Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:00.1309406Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:00.1888612Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:00.1889173Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:00.2336825Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:00.2337394Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:00.2466800Z PASSED [ 38%]
2022-05-18T04:38:00.4043182Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_gru_unilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:00.4201034Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:00.4299264Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:00.4641230Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:00.4757563Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:00.4822499Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:00.6378280Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:00.6536078Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:00.6604006Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:00.6947365Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:00.7062351Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:00.7127797Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:00.7169225Z PASSED [ 38%]
2022-05-18T04:38:00.8739910Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_gru_unilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:00.8897363Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:00.8994237Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:00.9333642Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:00.9448541Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:00.9514110Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:01.1065480Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:01.1224683Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:01.1293110Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:01.1633782Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:01.1748398Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:01.1813699Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:01.1854824Z PASSED [ 38%]
2022-05-18T04:38:01.3338678Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_gru_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:01.3339405Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:01.3623611Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:01.3624153Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:01.4208116Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:01.4208701Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:01.4630038Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:01.4630637Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:01.5940514Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:01.5941066Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:01.6224775Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:01.6225312Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:01.6773013Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:01.6773538Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:01.7194710Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:01.7195448Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:01.7303658Z PASSED [ 38%]
2022-05-18T04:38:01.8761812Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_gru_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:01.8762504Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:01.9044439Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:01.9045156Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:01.9616992Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:01.9617890Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:02.0037074Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:02.0037780Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:02.1311749Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:02.1312422Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:02.1595955Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:02.1596706Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:02.2146232Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:02.2146955Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:02.2566423Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:02.2567094Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:02.2673696Z PASSED [ 38%]
2022-05-18T04:38:02.4161255Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_gru_unilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:02.4161947Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:02.4444076Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:02.4444783Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:02.5013524Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:02.5014271Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:02.5432560Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:02.5433467Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:02.6730183Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:02.6730835Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:02.7014039Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:02.7015013Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:02.7555193Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:02.7555843Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:02.7973712Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:02.7974417Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:02.8076434Z PASSED [ 38%]
2022-05-18T04:38:02.9537031Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_gru_unilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:02.9537723Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:02.9824603Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:02.9825206Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:03.0391348Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:03.0391895Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:03.0811127Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:03.0811688Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:03.2087503Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:03.2088054Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:03.2371429Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:03.2371941Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:03.2915119Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:03.2915655Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:03.3333715Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:03.3334247Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:03.3434649Z PASSED [ 39%]
2022-05-18T04:38:03.4783172Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_gru_unilayer_forward_no_initial_state_without_sequence_lengths_with_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:03.4878498Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:03.4943581Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:03.5578688Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:03.5637551Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:03.5676601Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:03.7006891Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:03.7101110Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:03.7144224Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:03.7769954Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:03.7828777Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:03.7866076Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:03.7915461Z PASSED [ 39%]
2022-05-18T04:38:03.9245708Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_gru_unilayer_forward_no_initial_state_without_sequence_lengths_without_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:03.9338614Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:03.9400850Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:04.0022682Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:04.0080914Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:04.0118195Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:04.1438003Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:04.1531830Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:04.1574332Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:04.2199148Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:04.2256955Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:04.2294006Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:04.2343303Z PASSED [ 39%]
2022-05-18T04:38:04.3605939Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_gru_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:04.3606895Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:04.3751645Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:04.3752229Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:04.4306028Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:04.4306570Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:04.4698774Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:04.4699288Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:04.5959746Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:04.5960286Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:04.6108440Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:04.6109467Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:04.6638022Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:04.6639026Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:04.7031050Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:04.7031909Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:04.7123991Z PASSED [ 39%]
2022-05-18T04:38:04.8360200Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_gru_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:04.8361534Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:04.8507025Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:04.8508256Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:04.9065060Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:04.9066079Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:04.9458594Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:04.9459413Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:05.0697510Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:05.0698773Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:05.0845252Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:05.0846217Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:05.1377187Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:05.1378191Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:05.1771254Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:05.1772111Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:05.1863432Z PASSED [ 39%]
2022-05-18T04:38:05.3124980Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_gru_unilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:05.3126353Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:05.3271854Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:05.3272869Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:05.3818635Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:05.3819651Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:05.4213575Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:05.4214746Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:05.5467544Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:05.5468562Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:05.5614445Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:05.5615946Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:05.6141028Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:05.6142047Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:05.6535942Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:05.6536878Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:05.6624784Z PASSED [ 39%]
2022-05-18T04:38:05.7867068Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_gru_unilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:05.7867800Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:05.8011771Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:05.8012385Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:05.8561772Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:05.8562340Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:05.8954964Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:06.0186833Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:06.0187574Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:06.0188096Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:06.0332391Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:06.0332970Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:06.0854190Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:06.0854999Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:06.1247715Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:06.1248243Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:06.1332178Z PASSED [ 39%]
2022-05-18T04:38:06.2759526Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_gru_unilayer_forward_with_initial_state_without_sequence_lengths_with_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:06.2853033Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:06.2920478Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:06.3243175Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:06.3299746Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:06.3332116Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:06.4735098Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:06.4827323Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:06.4865652Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:06.5186551Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:06.5242919Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:06.5278273Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:06.5317825Z PASSED [ 39%]
2022-05-18T04:38:06.6749680Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_gru_unilayer_forward_with_initial_state_without_sequence_lengths_without_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:06.6842433Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:06.6910340Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:06.7234220Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:06.7292251Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:06.7324187Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:06.8742103Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:06.8834293Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:06.8873865Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:06.9198720Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:06.9255074Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:06.9287104Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:06.9325771Z PASSED [ 40%]
2022-05-18T04:38:07.0146689Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_gt PASSED [ 40%]
2022-05-18T04:38:07.0393453Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_gt_primitive PASSED [ 40%]
2022-05-18T04:38:07.0927340Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_gt_scalar PASSED [ 40%]
2022-05-18T04:38:07.1270954Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_hann_window_default_values PASSED [ 40%]
2022-05-18T04:38:07.1995818Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_hann_window_not_periodic PASSED [ 40%]
2022-05-18T04:38:07.2710004Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_hann_window_periodic PASSED [ 40%]
2022-05-18T04:38:07.3568631Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_hardshrink PASSED [ 40%]
2022-05-18T04:38:07.4144350Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_hardsigmoid PASSED [ 40%]
2022-05-18T04:38:07.4703145Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_hardswish PASSED [ 41%]
2022-05-18T04:38:07.4842372Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_hardswish_script PASSED [ 41%]
2022-05-18T04:38:07.5226164Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_hardtanh PASSED [ 41%]
2022-05-18T04:38:07.5430016Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_hardtanh_script_with_default_values PASSED [ 41%]
2022-05-18T04:38:07.9571328Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_heatmaps_to_keypoints PASSED [ 41%]
2022-05-18T04:38:08.5994781Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_if_fold PASSED [ 41%]
2022-05-18T04:38:08.6232202Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_if_list PASSED [ 41%]
2022-05-18T04:38:08.6581655Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_if_transpose PASSED [ 41%]
2022-05-18T04:38:08.7172418Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_if_view PASSED [ 42%]
2022-05-18T04:38:08.9378735Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_im2col PASSED [ 42%]
2022-05-18T04:38:08.9708622Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_index_1d PASSED [ 42%]
2022-05-18T04:38:09.0341776Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_index_2d_1dimslice PASSED [ 42%]
2022-05-18T04:38:09.1007529Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_index_2d_neg_slice PASSED [ 42%]
2022-05-18T04:38:09.1565364Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_index_2d_sliceint PASSED [ 42%]
2022-05-18T04:38:09.1656049Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_index_add_dim_size_differ Warning: ONNX Preprocess - Removing mutation from node aten::index_add_ on block input: 'x.1'. This changes graph semantics.
2022-05-18T04:38:09.1909263Z Warning: ONNX Preprocess - Removing mutation from node aten::index_add_ on block input: '0'. This changes graph semantics.
2022-05-18T04:38:09.2170719Z PASSED [ 42%]
2022-05-18T04:38:09.2262451Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_index_add_dynamic_axes Warning: ONNX Preprocess - Removing mutation from node aten::index_add_ on block input: 'x.1'. This changes graph semantics.
2022-05-18T04:38:09.2524291Z Warning: ONNX Preprocess - Removing mutation from node aten::index_add_ on block input: '0'. This changes graph semantics.
2022-05-18T04:38:09.2794862Z PASSED [ 42%]
2022-05-18T04:38:09.2901594Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_index_add_if Warning: ONNX Preprocess - Removing mutation from node aten::index_add_ on block input: 'x.1'. This changes graph semantics.
2022-05-18T04:38:09.2902252Z Warning: ONNX Preprocess - Removing mutation from node aten::index_add_ on block input: 'x.1'. This changes graph semantics.
2022-05-18T04:38:09.3186739Z PASSED [ 43%]
2022-05-18T04:38:09.3283555Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_index_add_in_loop Warning: ONNX Preprocess - Removing mutation from node aten::index_add_ on block input: 'x.1'. This changes graph semantics.
2022-05-18T04:38:09.3768449Z Warning: ONNX Preprocess - Removing mutation from node aten::index_add_ on block input: '0'. This changes graph semantics.
2022-05-18T04:38:09.4411553Z PASSED [ 43%]
2022-05-18T04:38:09.4505374Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_index_add_normal Warning: ONNX Preprocess - Removing mutation from node aten::index_add_ on block input: 'x.1'. This changes graph semantics.
2022-05-18T04:38:09.4785970Z Warning: ONNX Preprocess - Removing mutation from node aten::index_add_ on block input: '0'. This changes graph semantics.
2022-05-18T04:38:09.5107036Z Warning: ONNX Preprocess - Removing mutation from node aten::index_add_ on block input: 'x.1'. This changes graph semantics.
2022-05-18T04:38:09.5354336Z Warning: ONNX Preprocess - Removing mutation from node aten::index_add_ on block input: '0'. This changes graph semantics.
2022-05-18T04:38:09.5680297Z Warning: ONNX Preprocess - Removing mutation from node aten::index_add_ on block input: 'x.1'. This changes graph semantics.
2022-05-18T04:38:09.5958381Z Warning: ONNX Preprocess - Removing mutation from node aten::index_add_ on block input: '0'. This changes graph semantics.
2022-05-18T04:38:09.6222357Z PASSED [ 43%]
2022-05-18T04:38:09.6732037Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_index_copy PASSED [ 43%]
2022-05-18T04:38:09.7274375Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_index_fill PASSED [ 43%]
2022-05-18T04:38:09.8002939Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_index_mask PASSED [ 43%]
2022-05-18T04:38:09.8430304Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_index_mask_nd PASSED [ 43%]
2022-05-18T04:38:09.8947229Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_index_put PASSED [ 43%]
2022-05-18T04:38:09.9474325Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_index_put_accumulate PASSED [ 44%]
2022-05-18T04:38:10.4039774Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_index_put_ellipsis PASSED [ 44%]
2022-05-18T04:38:11.4844701Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_index_put_if PASSED [ 44%]
2022-05-18T04:38:13.4286189Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_index_put_if_2 PASSED [ 44%]
2022-05-18T04:38:13.9510262Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_index_put_if_3 PASSED [ 44%]
2022-05-18T04:38:14.6679350Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_index_put_if_4 PASSED [ 44%]
2022-05-18T04:38:15.3746711Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_index_put_if_5 PASSED [ 44%]
2022-05-18T04:38:16.2729987Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_index_put_inplace_ops PASSED [ 44%]
2022-05-18T04:38:21.1317921Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_index_put_loop PASSED [ 45%]
2022-05-18T04:38:21.1436635Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_index_put_singular Warning: ONNX Preprocess - Removing mutation from node aten::index_put_ on block input: 'mask.1'. This changes graph semantics.
2022-05-18T04:38:21.1840383Z Warning: ONNX Preprocess - Removing mutation from node aten::index_put_ on block input: '0'. This changes graph semantics.
2022-05-18T04:38:21.2225262Z Warning: ONNX Preprocess - Removing mutation from node aten::index_put_ on block input: 'mask.1'. This changes graph semantics.
2022-05-18T04:38:21.2548987Z Warning: ONNX Preprocess - Removing mutation from node aten::index_put_ on block input: '0'. This changes graph semantics.
2022-05-18T04:38:21.2846581Z PASSED [ 45%]
2022-05-18T04:38:21.2974046Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_index_put_slice_index Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'update.1'. This changes graph semantics.
2022-05-18T04:38:21.6490690Z Warning: ONNX Preprocess - Removing mutation from node aten::index_put_ on block input: 'x.1'. This changes graph semantics.
2022-05-18T04:38:21.6491310Z Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'update.1'. This changes graph semantics.
2022-05-18T04:38:21.7174780Z Warning: ONNX Preprocess - Removing mutation from node aten::index_put_ on block input: '0'. This changes graph semantics.
2022-05-18T04:38:21.8210272Z Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'update.1'. This changes graph semantics.
2022-05-18T04:38:22.0443982Z Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'update.1'. This changes graph semantics.
2022-05-18T04:38:22.2136995Z Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'update.1'. This changes graph semantics.
2022-05-18T04:38:23.6070717Z PASSED [ 45%]
2022-05-18T04:38:23.7363737Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_index_put_to_masked_fill PASSED [ 45%]
2022-05-18T04:38:23.8175487Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_index_put_to_masked_scatter PASSED [ 45%]
2022-05-18T04:38:23.8537228Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_index_select_constant_scaler_index PASSED [ 45%]
2022-05-18T04:38:23.8991830Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_index_select_scaler_index PASSED [ 45%]
2022-05-18T04:38:23.9154541Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_initializer_sequence PASSED [ 45%]
2022-05-18T04:38:23.9674168Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_initializer_sequence_script_model PASSED [ 46%]
2022-05-18T04:38:23.9763206Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_inplace_arithmetic Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'x.1'. This changes graph semantics.
2022-05-18T04:38:23.9763871Z Warning: ONNX Preprocess - Removing mutation from node aten::mul_ on block input: 'y.1'. This changes graph semantics.
2022-05-18T04:38:24.0052412Z PASSED [ 46%]
2022-05-18T04:38:24.0158886Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_inplace_arithmetic_half Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'x.1'. This changes graph semantics.
2022-05-18T04:38:24.0344638Z Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: '0'. This changes graph semantics.
2022-05-18T04:38:24.0590927Z Warning: ONNX Preprocess - Removing mutation from node aten::mul_ on block input: 'x.1'. This changes graph semantics.
2022-05-18T04:38:24.0743222Z Warning: ONNX Preprocess - Removing mutation from node aten::mul_ on block input: '0'. This changes graph semantics.
2022-05-18T04:38:24.0882799Z PASSED [ 46%]
2022-05-18T04:38:24.4040822Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_inplace_attr_copy_with_loop PASSED [ 46%]
2022-05-18T04:38:24.4923788Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_inplace_attr_with_loop PASSED [ 46%]
2022-05-18T04:38:24.5024680Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_inplace_fill Warning: ONNX Preprocess - Removing mutation from node aten::fill_ on block input: 'x.1'. This changes graph semantics.
2022-05-18T04:38:24.5309320Z Warning: ONNX Preprocess - Removing mutation from node aten::fill_ on block input: '0'. This changes graph semantics.
2022-05-18T04:38:24.5657057Z Warning: ONNX Preprocess - Removing mutation from node aten::fill_ on block input: 'x.1'. This changes graph semantics.
2022-05-18T04:38:24.5933503Z Warning: ONNX Preprocess - Removing mutation from node aten::fill_ on block input: '0'. This changes graph semantics.
2022-05-18T04:38:24.6204253Z PASSED [ 46%]
2022-05-18T04:38:24.6296552Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_inplace_list Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'x.1'. This changes graph semantics.
2022-05-18T04:38:24.6297190Z Warning: ONNX Preprocess - Removing mutation from node aten::fill_ on block input: 'y.1'. This changes graph semantics.
2022-05-18T04:38:24.6822864Z Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'x.1'. This changes graph semantics.
2022-05-18T04:38:24.6823386Z Warning: ONNX Preprocess - Removing mutation from node aten::fill_ on block input: 'y.1'. This changes graph semantics.
2022-05-18T04:38:24.7298048Z PASSED [ 46%]
2022-05-18T04:38:24.9697056Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_inplace_sequence_with_loop PASSED [ 46%]
2022-05-18T04:38:25.0343906Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_inplace_with_loop PASSED [ 47%]
2022-05-18T04:38:25.3719048Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_inplace_with_loop_2 PASSED [ 47%]
2022-05-18T04:38:25.3824607Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_inplace_zero Warning: ONNX Preprocess - Removing mutation from node aten::zero_ on block input: 'x.1'. This changes graph semantics.
2022-05-18T04:38:25.4080721Z Warning: ONNX Preprocess - Removing mutation from node aten::zero_ on block input: '0'. This changes graph semantics.
2022-05-18T04:38:25.4398979Z Warning: ONNX Preprocess - Removing mutation from node aten::zero_ on block input: 'x.1'. This changes graph semantics.
2022-05-18T04:38:25.4644672Z Warning: ONNX Preprocess - Removing mutation from node aten::zero_ on block input: '0'. This changes graph semantics.
2022-05-18T04:38:25.4885761Z PASSED [ 47%]
2022-05-18T04:38:25.7283959Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_input_mask_model Warning: ONNX Preprocess - Removing mutation from node aten::index_put_ on block input: 'y.1'. This changes graph semantics.
2022-05-18T04:38:25.8352946Z Warning: ONNX Preprocess - Removing mutation from node aten::index_put_ on block input: '2'. This changes graph semantics.
2022-05-18T04:38:25.9025284Z PASSED [ 47%]
2022-05-18T04:38:26.1368281Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_instancenorm1d_norunningstats PASSED [ 47%]
2022-05-18T04:38:26.3258333Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_instancenorm1d_runningstats PASSED [ 47%]
2022-05-18T04:38:26.5896570Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_instancenorm2d_norunningstats PASSED [ 47%]
2022-05-18T04:38:26.8096785Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_instancenorm2d_runningstats PASSED [ 47%]
2022-05-18T04:38:34.2693726Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_instancenorm3d_norunningstats PASSED [ 48%]
2022-05-18T04:38:41.9693880Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_instancenorm3d_runningstats PASSED [ 48%]
2022-05-18T04:38:43.0422493Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_instancenorm_eval_mode_train_layer PASSED [ 48%]
2022-05-18T04:38:43.8483145Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_instancenorm_training PASSED [ 48%]
2022-05-18T04:38:44.6545621Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_instancenorm_training_mode_fix_layer PASSED [ 48%]
2022-05-18T04:38:44.6701507Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_interpolate_adaptive_pooling_error WARNING: The shape inference of aten::adaptive_avg_pool1d type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:44.6702933Z WARNING: The shape inference of aten::adaptive_avg_pool1d type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:44.6703872Z WARNING: The shape inference of aten::adaptive_avg_pool1d type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:44.6704862Z WARNING: The shape inference of aten::adaptive_avg_pool1d type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:44.7286157Z PASSED [ 48%]
2022-05-18T04:38:44.7706095Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_interpolate_downsample WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:44.7707201Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:44.7741867Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:44.7742752Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:44.7753250Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:44.7754126Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:44.7757078Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:44.7757928Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:44.7793474Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:44.7794322Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:44.7797013Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:44.7797841Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:44.7940511Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:44.7941369Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:44.8028855Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:44.8030026Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:44.8037024Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:44.8037893Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:44.8041661Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:44.8042623Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:44.8048970Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:44.8049926Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:44.8053140Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:44.8054091Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:44.8466833Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:44.8467794Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:44.8503173Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:44.8504037Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:44.8513500Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:44.8514357Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:44.8517662Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:44.8518513Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:44.8551194Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:44.8552047Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:44.8554935Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:44.8555910Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:44.8697429Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:44.8698294Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:44.8785348Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:44.8785896Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:44.8793070Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:44.8793584Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:44.8796836Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:44.8797380Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:44.8802515Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:44.8803016Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:44.8805806Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:44.8806301Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:44.9222201Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:44.9256108Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:44.9263424Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:44.9266430Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:44.9299111Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:44.9300219Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:44.9427417Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:44.9513978Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:44.9519278Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:44.9521381Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:44.9525246Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:44.9526099Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:44.9936901Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:44.9937420Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:44.9971156Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:44.9971653Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:44.9982788Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:44.9983338Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:44.9985889Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:44.9986637Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:45.0023241Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:45.0023889Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:45.0026508Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:45.0027026Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:45.0176997Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:45.0177521Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:45.0265261Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:45.0265789Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:45.0272919Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:45.0273646Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:45.0277139Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:45.0277823Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:45.0283140Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:45.0283644Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:45.0286312Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:45.0287073Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:45.0706999Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:45.0707616Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:45.0741551Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:45.0742313Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:45.0751957Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:45.0752641Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:45.0756005Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:45.0756694Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:45.0792010Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:45.0792741Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:45.0795525Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:45.0796242Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:45.0944078Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:45.0944743Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:45.1031924Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:45.1032773Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:45.1039916Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:45.1040614Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:45.1043777Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:45.1044472Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:45.1049897Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:45.1050607Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:45.1053385Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:45.1054084Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:45.1913494Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:45.1948842Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:45.1956628Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:45.1960111Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:45.1994302Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:45.1995527Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:45.2130803Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:45.2217065Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:45.2222772Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:45.2225019Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:45.2228905Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:45.2229786Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:45.2641932Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:45.2642808Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:45.2679972Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:45.2680842Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:45.2690836Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:45.2691687Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:45.2695293Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:45.2696250Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:45.2731971Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:45.2732842Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:45.2736036Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:45.2736930Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:45.2897726Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:45.2898911Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:45.2986030Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:45.2986957Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:45.2994263Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:45.2995133Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:45.2998905Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:45.3000046Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:45.3007001Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:45.3007936Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:45.3010844Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:45.3011697Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:45.3440185Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:45.3441159Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:45.3476299Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:45.3477174Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:45.3487044Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:45.3487924Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:45.3491458Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:45.3492313Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:45.3527969Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:45.3529017Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:45.3531873Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:45.3532729Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:45.3692484Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:45.3693354Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:45.3784891Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:45.3785968Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:45.3793302Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:45.3794235Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:45.3798909Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:45.3799861Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:45.3805517Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:45.3806436Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:45.3810212Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:45.3811222Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:45.4227227Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:45.4262991Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:45.4271030Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:45.4274870Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:45.4308569Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:45.4311437Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:45.4446562Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:45.4533144Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:45.4539390Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:45.4541907Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:45.4546391Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:45.4547553Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:45.4956407Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:45.4957281Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:45.4992156Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:45.4993057Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:45.5003999Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:45.5004856Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:45.5008155Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:45.5009149Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:45.5040285Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:45.5041152Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:45.5044363Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:45.5045215Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:45.5221658Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:45.5222701Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:45.5336773Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:45.5337642Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:45.5344771Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:45.5345625Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:45.5348850Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:45.5349705Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:45.5355134Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:45.5355968Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:45.5359239Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:45.5360094Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:45.5800678Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:45.5801196Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:45.5836863Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:45.5837361Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:45.5847178Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:45.5847655Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:45.5851114Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:45.5851676Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:45.5882627Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:45.5883253Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:45.5886072Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:45.5886561Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:45.6064055Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:45.6064568Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:45.6179068Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:45.6179621Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:45.6186595Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:45.6187285Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:45.6190400Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:45.6191101Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:45.6196336Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:45.6197026Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:45.6199642Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:45.6200340Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:45.6622060Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:45.6622591Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:45.6656545Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:45.6657255Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:45.6666758Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:45.6667456Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:45.6670634Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:45.6671363Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:45.6702615Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:45.6703315Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:45.6706037Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:45.6706655Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:45.6886308Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:45.6886989Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:45.7001637Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:45.7002197Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:45.7009047Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:45.7009752Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:45.7012674Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:45.7013359Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:45.7018808Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:45.7019495Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:45.7022018Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:45.7022720Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:45.7432888Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:45.7466529Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:45.7473481Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:45.7484265Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:45.7506661Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:45.7507588Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:45.7673848Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:45.7788732Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:45.7794830Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:45.7796813Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:45.7799987Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:45.7801072Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:45.8198587Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:45.8234225Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:45.8242150Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:45.8245168Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:45.8276351Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:45.8277406Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:45.8443843Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:45.8557438Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:45.8563023Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:45.8565225Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:45.8568803Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:45.8569786Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:45.8975304Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:45.8976021Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:45.9010437Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:45.9011190Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:45.9020682Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:45.9021402Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:45.9024820Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:45.9025539Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:45.9052373Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:45.9053084Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:45.9055781Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:45.9056548Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:45.9234428Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:45.9234956Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:45.9350032Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:45.9350753Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:45.9357553Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:45.9358270Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:45.9361087Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:45.9361883Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:45.9366973Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:45.9367770Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:45.9370245Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:45.9370953Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:45.9815408Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:45.9815943Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:45.9850089Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:45.9850644Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:45.9860636Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:45.9861127Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:45.9864273Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:45.9864776Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:45.9892925Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:45.9893423Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:45.9896651Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:45.9897350Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:46.0076754Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:46.0077241Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:46.0191374Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:46.0191876Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:46.0198888Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:46.0199570Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:46.0202603Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:46.0203096Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:46.0208440Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:46.0208931Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:46.0211652Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:46.0212125Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:46.0635307Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:46.0635814Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:46.0670250Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:46.0670776Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:46.0680642Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:46.0681138Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:46.0684357Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:46.0685008Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:46.0713322Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:46.0713795Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:46.0716771Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:46.0717252Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:46.0895964Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:46.0896722Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:46.1009631Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:46.1010129Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:46.1017433Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:46.1017936Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:46.1021268Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:46.1021758Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:46.1027142Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:46.1027636Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:46.1030644Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:46.1031137Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:46.1431496Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:46.1466819Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:46.1474261Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:46.1477567Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:46.1503880Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:46.1505071Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:46.1669219Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:46.1783648Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:46.1789586Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:46.1792021Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:46.1795423Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:46.1796507Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:46.2183799Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:46.2218787Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:46.2225668Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:46.2229124Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:46.2255695Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:46.2256866Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:46.2420676Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:46.2534667Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:46.2540223Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:46.2542415Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:46.2546116Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:46.2547215Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:46.2583317Z PASSED [ 48%]
2022-05-18T04:38:46.2891482Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_interpolate_function_substitution WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:46.2900839Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:46.2928116Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:46.3222036Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:46.3231566Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:46.3257967Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:46.3457759Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:46.3466786Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:46.3473212Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:46.3504131Z PASSED [ 48%]
2022-05-18T04:38:46.3930414Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_interpolate_no_shape WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:46.3931114Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:46.4059779Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:46.4060493Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:46.4069230Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:46.4069936Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:46.4076380Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:46.4077095Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:46.4111492Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:46.4112198Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:46.4119294Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:46.4120037Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:46.4484195Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:46.4484931Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:46.4611997Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:46.4612637Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:46.4621496Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:46.4622018Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:46.4627762Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:46.4628258Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:46.4639463Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:46.4639976Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:46.4643131Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:46.4643618Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:46.4690013Z PASSED [ 49%]
2022-05-18T04:38:46.5084215Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_interpolate_upsample WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:46.5084834Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:46.5118992Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:46.5119643Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:46.5129150Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:46.5129641Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:46.5133161Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:46.5133637Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:46.5166797Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:46.5167427Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:46.5170340Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:46.5170828Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:46.5310425Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:46.5310972Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:46.5398462Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:46.5398970Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:46.5406432Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:46.5406978Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:46.5409626Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:46.5410315Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:46.5415734Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:46.5416421Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:46.5418924Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:46.5419573Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:46.5830284Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:46.5830887Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:46.5865508Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:46.5866010Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:46.5875562Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:46.5876062Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:46.5879340Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:46.5879826Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:46.5913225Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:46.5913706Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:46.5916659Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:46.5917148Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:46.6055467Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:46.6056004Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:46.6143391Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:46.6143956Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:46.6150846Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:46.6151410Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:46.6155004Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:46.6155885Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:46.6160822Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:46.6161526Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:46.6164056Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:46.6164748Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:46.6564002Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:46.6601603Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:46.6608466Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:46.6611749Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:46.6644732Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:46.6646223Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:46.6775089Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:46.6863087Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:46.6868848Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:46.6871149Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:46.6874523Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:46.6875677Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:46.7280447Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:46.7280981Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:46.7315323Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:46.7315916Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:46.7325730Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:46.7326312Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:46.7329769Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:46.7330259Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:46.7365879Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:46.7366395Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:46.7369299Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:46.7369796Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:46.7516880Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:46.7517457Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:46.7604909Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:46.7605670Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:46.7612271Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:46.7612949Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:46.7616535Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:46.7617210Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:46.7622418Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:46.7623098Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:46.7625585Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:46.7626082Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:46.8043333Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:46.8043852Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:46.8078487Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:46.8078999Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:46.8088718Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:46.8089219Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:46.8092633Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:46.8093113Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:46.8128146Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:46.8128641Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:46.8131797Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:46.8132290Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:46.8277943Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:46.8278456Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:46.8365480Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:46.8365972Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:46.8373782Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:46.8374255Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:46.8378402Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:46.8378895Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:46.8384206Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:46.8384700Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:46.8387644Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:46.8388202Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:46.8791480Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:46.8826196Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:46.8833221Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:46.8836546Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:46.8869832Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:46.8870954Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:46.9001299Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:46.9087722Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:46.9093323Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:46.9095883Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:46.9099566Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:46.9100727Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:46.9505761Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:46.9506663Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:46.9541221Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:46.9542070Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:46.9551409Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:46.9552292Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:46.9555875Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:46.9556881Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:46.9594709Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:46.9595556Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:46.9598611Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:46.9599449Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:46.9762088Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:46.9762938Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:46.9850649Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:46.9851489Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:46.9859097Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:46.9859945Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:46.9863143Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:46.9864368Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:46.9869608Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:46.9870464Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:46.9873398Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:46.9874250Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:47.0299749Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:47.0300627Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:47.0337986Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:47.0338999Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:47.0348714Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:47.0349534Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:47.0353081Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:47.0353932Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:47.0390200Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:47.0391056Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:47.0394741Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:47.0395597Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:47.0557450Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:47.0558385Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:47.0646436Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:47.0647326Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:47.0654069Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:47.0655283Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:47.0658551Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:47.0659405Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:47.0665342Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:47.0666200Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:47.0668954Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:47.0669951Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:47.1094116Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:47.1129249Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:47.1137591Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:47.1141286Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:47.1176305Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:47.1177178Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:47.1316781Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:47.1405245Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:47.1411101Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:47.1413604Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:47.1418473Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:47.1419662Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:47.1830334Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:47.1831548Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:47.1866574Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:47.1867461Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:47.1876895Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:47.1877765Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:47.1881498Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:47.1882582Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:47.1913590Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:47.1914461Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:47.1917414Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:47.1918261Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:47.2095132Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:47.2096444Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:47.2211917Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:47.2212786Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:47.2220788Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:47.2221689Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:47.2225423Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:47.2226305Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:47.2231010Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:47.2232030Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:47.2234710Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:47.2235581Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:47.2681959Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:47.2682901Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:47.2718336Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:47.2719457Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:47.2729341Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:47.2730466Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:47.2734122Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:47.2735341Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:47.2766592Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:47.2767537Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:47.2771030Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:47.2771998Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:47.2952268Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:47.2953214Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:47.3068176Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:47.3069041Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:47.3076693Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:47.3077854Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:47.3081598Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:47.3082536Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:47.3088668Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:47.3089610Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:47.3093232Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:47.3094200Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:47.3509111Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:47.3510042Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:47.3544915Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:47.3545846Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:47.3556022Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:47.3557149Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:47.3560927Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:47.3561825Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:47.3593959Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:47.3594920Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:47.3597784Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:47.3598737Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:47.3775220Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:47.3776465Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:47.3891582Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:47.3892491Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:47.3900659Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:47.3901586Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:47.3905665Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:47.3906629Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:47.3912899Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:47.3913835Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:47.3917382Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:47.3918327Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:47.4324116Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:47.4359459Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:47.4367742Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:47.4371883Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:47.4402605Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:47.4403598Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:47.4568850Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:47.4683692Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:47.4689789Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:47.4691775Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:47.4695589Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:47.4696926Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:47.5091894Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:47.5126583Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:47.5135345Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:47.5138520Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:47.5168492Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:47.5169407Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:47.5333363Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:47.5447582Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:47.5453141Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:47.5455676Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:47.5459404Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:47.5460863Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:47.5861389Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:47.5861899Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:47.5896801Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:47.5897442Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:47.5906503Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:47.5907258Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:47.5910722Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:47.5911500Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:47.5938749Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:47.5939454Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:47.5942205Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:47.5942836Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:47.6120669Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:47.6121318Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:47.6235791Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:47.6236542Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:47.6244108Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:47.6244832Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:47.6247278Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:47.6248031Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:47.6253617Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:47.6254319Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:47.6257489Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:47.6258220Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:47.6703342Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:47.6703992Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:47.6739231Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:47.6739774Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:47.6749488Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:47.6750189Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:47.6753375Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:47.6753902Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:47.6783481Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:47.6784069Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:47.6786715Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:47.6787210Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:47.6969327Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:47.6969848Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:47.7085172Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:47.7085685Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:47.7093338Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:47.7093810Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:47.7097768Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:47.7104111Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:47.7104764Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:47.7105247Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:47.7107846Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:47.7108316Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:47.7525680Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:47.7526334Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:47.7561113Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:47.7561803Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:47.7571221Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:47.7571904Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:47.7575029Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:47.7575751Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:47.7603080Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:47.7603764Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:47.7606238Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:47.7606939Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:47.7785572Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:47.7786213Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:47.7900786Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:47.7901448Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:47.7908396Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:47.7908887Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:47.7912060Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:47.7912531Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:47.7917834Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:47.7918414Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:47.7921306Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:47.7921791Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:47.8325319Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:47.8360417Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:47.8367709Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:47.8371032Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:47.8397849Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:47.8399379Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:47.8565368Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:47.8679195Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:47.8684836Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:47.8686965Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:47.8690678Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:47.8691786Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:47.9085804Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:47.9121014Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:47.9128297Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:47.9131669Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:47.9157756Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:47.9159433Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:47.9325082Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:47.9438196Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:47.9443608Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:47.9445786Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:47.9449404Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:47.9450713Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:38:47.9485518Z PASSED [ 49%]
2022-05-18T04:38:47.9509661Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_interpolate_upsample_trace SKIPPED [ 49%]
2022-05-18T04:38:47.9752590Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_isfinite PASSED [ 49%]
2022-05-18T04:38:47.9973025Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_isinf PASSED [ 49%]
2022-05-18T04:38:48.0186746Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_isnan PASSED [ 49%]
2022-05-18T04:38:48.0471024Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_item PASSED [ 49%]
2022-05-18T04:38:48.0488145Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_keypoint_rcnn SKIPPED [ 49%]
2022-05-18T04:38:48.7636491Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_kldiv_loss PASSED [ 50%]
2022-05-18T04:38:48.8052011Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_l1_norm PASSED [ 50%]
2022-05-18T04:38:48.8459459Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_l2_norm PASSED [ 50%]
2022-05-18T04:39:26.2820363Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_large_model_with_external_data PASSED [ 50%]
2022-05-18T04:39:50.9169832Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_large_model_with_non_str_file PASSED [ 50%]
2022-05-18T04:39:50.9727252Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_layer_norm PASSED [ 50%]
2022-05-18T04:39:51.0556216Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_le PASSED [ 50%]
2022-05-18T04:39:51.1101490Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_le_scalar PASSED [ 50%]
2022-05-18T04:39:51.1371434Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_len PASSED [ 51%]
2022-05-18T04:39:51.1627515Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_len_list PASSED [ 51%]
2022-05-18T04:39:51.2420676Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_linalg_cross PASSED [ 51%]
2022-05-18T04:39:51.8949358Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_linalg_matrix_norm PASSED [ 51%]
2022-05-18T04:39:52.9341199Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_linalg_norm PASSED [ 51%]
2022-05-18T04:39:53.7917150Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_linalg_vector_norm PASSED [ 51%]
2022-05-18T04:39:53.8359639Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_linalg_vector_norm_zero PASSED [ 51%]
2022-05-18T04:39:53.9173132Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_linear PASSED [ 51%]
2022-05-18T04:39:53.9611261Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_linspace PASSED [ 52%]
2022-05-18T04:39:54.0059251Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_linspace_negative_start PASSED [ 52%]
2022-05-18T04:39:54.0973972Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_list PASSED [ 52%]
2022-05-18T04:39:54.1101831Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_list_append Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'res.11'. This changes graph semantics.
2022-05-18T04:39:54.1480231Z PASSED [ 52%]
2022-05-18T04:39:54.1918666Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_list_append_in_block PASSED [ 52%]
2022-05-18T04:39:54.2496570Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_list_append_in_nested_block PASSED [ 52%]
2022-05-18T04:39:54.2625501Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_list_append_nested Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'res.11'. This changes graph semantics.
2022-05-18T04:39:54.3133951Z PASSED [ 52%]
2022-05-18T04:39:54.3997529Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_list_append_nested_2 PASSED [ 52%]
2022-05-18T04:39:54.4679380Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_list_append_nested_mixed_dtype PASSED [ 53%]
2022-05-18T04:39:54.4802997Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_list_del Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'res.13'. This changes graph semantics.
2022-05-18T04:39:54.5232069Z PASSED [ 53%]
2022-05-18T04:39:54.6019997Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_list_del_in_block PASSED [ 53%]
2022-05-18T04:39:54.6166181Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_list_del_nested Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'res.19'. This changes graph semantics.
2022-05-18T04:39:54.6851415Z PASSED [ 53%]
2022-05-18T04:39:54.7447265Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_list_idx_sum PASSED [ 53%]
2022-05-18T04:39:55.5115617Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_list_pass PASSED [ 53%]
2022-05-18T04:39:55.5247843Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_list_pop Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'res.13'. This changes graph semantics.
2022-05-18T04:39:55.5684265Z PASSED [ 53%]
2022-05-18T04:39:55.6594806Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_list_pop_in_block PASSED [ 53%]
2022-05-18T04:39:55.6746367Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_list_pop_nested Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'res.19'. This changes graph semantics.
2022-05-18T04:39:55.7461912Z PASSED [ 54%]
2022-05-18T04:39:55.7955943Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_list_set PASSED [ 54%]
2022-05-18T04:39:55.8419509Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_list_unpack PASSED [ 54%]
2022-05-18T04:39:55.9864347Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_listunpack PASSED [ 54%]
2022-05-18T04:39:56.0082599Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_log PASSED [ 54%]
2022-05-18T04:39:56.0314488Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_log10 PASSED [ 54%]
2022-05-18T04:39:56.0547221Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_log1p PASSED [ 54%]
2022-05-18T04:39:56.0773302Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_logdet PASSED [ 54%]
2022-05-18T04:39:56.1677492Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_logical_and PASSED [ 55%]
2022-05-18T04:39:56.2566748Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_logical_or PASSED [ 55%]
2022-05-18T04:39:56.3458533Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_logical_xor PASSED [ 55%]
2022-05-18T04:39:56.5046816Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_logsoftmax PASSED [ 55%]
2022-05-18T04:39:56.7157102Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_logsoftmax_dim PASSED [ 55%]
2022-05-18T04:39:56.7524012Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_logsoftmax_dtype PASSED [ 55%]
2022-05-18T04:39:56.8192134Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_loop_dynamic PASSED [ 55%]
2022-05-18T04:39:56.8742511Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_loop_multi_dim PASSED [ 55%]
2022-05-18T04:39:56.9942916Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_loop_nested PASSED [ 56%]
2022-05-18T04:39:57.0065906Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_loop_transpose Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'res.11'. This changes graph semantics.
2022-05-18T04:39:57.0502243Z PASSED [ 56%]
2022-05-18T04:39:57.0669142Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_loop_with_list Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'res4.11'. This changes graph semantics.
2022-05-18T04:39:57.0670032Z Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'res2.11'. This changes graph semantics.
2022-05-18T04:39:57.1930627Z PASSED [ 56%]
2022-05-18T04:39:57.3445558Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_lower_tuple PASSED [ 56%]
2022-05-18T04:39:57.3646509Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_lower_tuple_2 PASSED [ 56%]
2022-05-18T04:39:57.5394154Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_lower_tuple_3 PASSED [ 56%]
2022-05-18T04:39:57.7164144Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_lstm WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:39:57.7256898Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:39:57.7335239Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:39:57.7707587Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:39:57.7764798Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:39:57.7797440Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:39:57.7839408Z PASSED [ 56%]
2022-05-18T04:39:57.8343097Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_lstm_cell WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:39:57.8433010Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:39:57.8494988Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:39:57.9707642Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:39:57.9731093Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:39:57.9777958Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:39:57.9790667Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:39:57.9825309Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:39:57.9825890Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:39:58.0570967Z PASSED [ 56%]
2022-05-18T04:39:58.2731675Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_lstm_constant_folding WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:39:58.3040353Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:39:58.3226693Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:39:58.3662802Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:39:58.3921014Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:39:58.4072155Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:39:58.6132851Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:39:58.6381587Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:39:58.6533912Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:39:58.6972817Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:39:58.7171532Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:39:58.7284420Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:39:58.7369517Z PASSED [ 57%]
2022-05-18T04:39:58.9002566Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_lstm_default_init_state WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:39:58.9097690Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:39:58.9176043Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:39:59.0080875Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:39:59.0140167Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:39:59.0182070Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:39:59.0242335Z PASSED [ 57%]
2022-05-18T04:39:59.1930582Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_lstm_fixed_batch_size WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:39:59.2024665Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:39:59.2105217Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:39:59.3013696Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:39:59.3072748Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:39:59.3106105Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:39:59.3159837Z PASSED [ 57%]
2022-05-18T04:39:59.4955127Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_lstm_no_bias WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:39:59.5008112Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:39:59.5055436Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:39:59.5081192Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:39:59.5143599Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:39:59.5144099Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:39:59.5515710Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:39:59.5563405Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:39:59.5578791Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:39:59.5605606Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:39:59.5614484Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:39:59.5615118Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:39:59.7315640Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:39:59.7342199Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:39:59.7380698Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:39:59.7393629Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:39:59.7449203Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:39:59.7449964Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:39:59.7808073Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:39:59.7832867Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:39:59.7840317Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:39:59.7853151Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:39:59.7860083Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:39:59.7860718Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:39:59.9785129Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:39:59.9838388Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:39:59.9906748Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:39:59.9972246Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:39:59.9998087Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:00.0030706Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:00.0106507Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:00.0107033Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:00.0113565Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:00.0528755Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:00.0578834Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:00.0642000Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:00.0674477Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:00.0703568Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:00.0740507Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:00.0757010Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:00.0757579Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:00.0764333Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:00.2613276Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:00.2640414Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:00.2678030Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:00.2715489Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:00.2773869Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:00.2787119Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:00.2805054Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:00.2823647Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:00.2892815Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:00.2893368Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:00.2899986Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:00.2906290Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:00.3321000Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:00.3346464Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:00.3382449Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:00.3417984Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:00.3445197Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:00.3460256Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:00.3480475Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:00.3500929Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:00.3515320Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:00.3516425Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:00.3523025Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:00.3529239Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:00.3605528Z PASSED [ 57%]
2022-05-18T04:40:00.5558496Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_lstm_no_hidden WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:00.5657989Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:00.5737497Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:00.6664891Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:00.6725567Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:00.6771245Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:00.6838951Z PASSED [ 57%]
2022-05-18T04:40:00.8526838Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_lstm_post_fix_init_state WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:00.8629517Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:00.8713919Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:00.9629406Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:00.9704249Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:00.9742041Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:00.9806671Z PASSED [ 57%]
2022-05-18T04:40:01.1877572Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_lstm_proj_no_hidden WARNING: The shape inference of aten::lstm type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:01.1878809Z WARNING: The shape inference of aten::lstm type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:01.1879829Z WARNING: The shape inference of aten::lstm type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:01.1924473Z WARNING: The shape inference of aten::lstm type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:01.1925576Z WARNING: The shape inference of aten::lstm type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:01.1926647Z WARNING: The shape inference of aten::lstm type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:01.1950834Z PASSED [ 57%]
2022-05-18T04:40:01.5354440Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_lstm_sequence WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:01.5852447Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:01.6072821Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:01.6135155Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:01.6326000Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:01.6335432Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:01.7525528Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:01.8442378Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:01.8634409Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:01.8715715Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:01.8808105Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:01.8820586Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:01.8914741Z PASSED [ 57%]
2022-05-18T04:40:01.9380934Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_lstm_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:01.9381640Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:02.0187056Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:02.0187606Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:02.1114170Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:02.1923707Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:02.1924245Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:02.1924777Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:02.2423129Z PASSED [ 58%]
2022-05-18T04:40:02.2887809Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_lstm_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:02.2888520Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:02.3694373Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:02.3695372Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:02.4620654Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:02.4621287Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:02.5435819Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:02.5436542Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:02.5938631Z PASSED [ 58%]
2022-05-18T04:40:02.6403119Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_lstm_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:02.6403826Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:02.7212515Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:02.7213214Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:02.8136090Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:02.8136659Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:02.8948801Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:02.8949338Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:02.9442520Z PASSED [ 58%]
2022-05-18T04:40:02.9906189Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_lstm_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:02.9906904Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:03.0720860Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:03.0721392Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:03.1650769Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:03.1651327Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:03.2465146Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:03.2465675Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:03.2959447Z PASSED [ 58%]
2022-05-18T04:40:03.3939241Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_lstm_trilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:03.4356478Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:03.4647727Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:03.5731131Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:03.6152057Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:03.6443579Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:03.6584066Z PASSED [ 58%]
2022-05-18T04:40:03.7560436Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_lstm_trilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:03.7977919Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:03.8268529Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:03.9346741Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:03.9764214Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:04.0059679Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:04.0199569Z PASSED [ 58%]
2022-05-18T04:40:04.0660018Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_lstm_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:04.0660957Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:04.1411322Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:04.1411861Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:04.2241646Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:04.2242179Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:04.2991703Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:04.2992241Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:04.3401372Z PASSED [ 58%]
2022-05-18T04:40:04.3856035Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_lstm_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:04.3856747Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:04.4606793Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:04.4607312Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:04.5438570Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:04.5439103Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:04.6191851Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:04.6192392Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:04.6611046Z PASSED [ 58%]
2022-05-18T04:40:04.7074235Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_lstm_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:04.7074934Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:04.7825487Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:04.7826019Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:04.8674175Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:04.8674707Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:04.9437021Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:04.9437539Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:04.9857980Z PASSED [ 59%]
2022-05-18T04:40:05.0322305Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_lstm_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:05.0323001Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:05.1074870Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:05.1075622Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:05.1909091Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:05.1909719Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:05.2661023Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:05.2661770Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:05.3068846Z PASSED [ 59%]
2022-05-18T04:40:05.3516905Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_lstm_trilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:05.3926363Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:05.4181320Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:05.4687056Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:05.5105719Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:05.5359411Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:05.5455249Z PASSED [ 59%]
2022-05-18T04:40:05.5900984Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_lstm_trilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:05.6312125Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:05.6566797Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:05.7078113Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:05.7491991Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:05.7746918Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:05.7843800Z PASSED [ 59%]
2022-05-18T04:40:05.8257918Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_lstm_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:05.8258670Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:05.8869675Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:05.8870220Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:05.9575678Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:05.9576485Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:06.0185231Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:06.0185929Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:06.0508222Z PASSED [ 59%]
2022-05-18T04:40:06.0919965Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_lstm_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:06.0920923Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:06.1531754Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:06.1532412Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:06.2234081Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:06.2234686Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:06.2843074Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:06.2843657Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:06.3163098Z PASSED [ 59%]
2022-05-18T04:40:06.3573004Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_lstm_trilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:06.3573727Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:06.4188913Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:06.4189439Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:06.4881997Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:06.4882536Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:06.5490913Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:06.5491445Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:06.5803665Z PASSED [ 59%]
2022-05-18T04:40:06.6213650Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_lstm_trilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:06.6214343Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:06.6822617Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:06.6823202Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:06.7517981Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:06.7518573Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:06.8131153Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:06.8132037Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:06.8446441Z PASSED [ 59%]
2022-05-18T04:40:06.9365830Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_lstm_trilayer_forward_no_initial_state_without_sequence_lengths_with_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:06.9578064Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:06.9728377Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:07.0755828Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:07.0964454Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:07.1111494Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:07.1241920Z PASSED [ 60%]
2022-05-18T04:40:07.2164184Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_lstm_trilayer_forward_no_initial_state_without_sequence_lengths_without_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:07.2371950Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:07.2520670Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:07.3541307Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:07.3748273Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:07.3897401Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:07.4027319Z PASSED [ 60%]
2022-05-18T04:40:07.4431373Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_lstm_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:07.4432082Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:07.4987105Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:07.4987665Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:07.5598485Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:07.5599065Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:07.6151469Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:07.6152001Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:07.6390146Z PASSED [ 60%]
2022-05-18T04:40:07.6794929Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_lstm_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:07.6795652Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:07.7348802Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:07.7349322Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:07.7959040Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:07.7959595Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:07.8516274Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:07.8516795Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:07.8757981Z PASSED [ 60%]
2022-05-18T04:40:07.9166727Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_lstm_trilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:07.9167670Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:07.9728185Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:07.9728702Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:08.0337591Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:08.0338405Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:08.0893706Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:08.0894231Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:08.1129254Z PASSED [ 60%]
2022-05-18T04:40:08.1532290Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_lstm_trilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:08.1533029Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:08.2089495Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:08.2090146Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:08.2690269Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:08.2690875Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:08.3245414Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:08.3246072Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:08.3479223Z PASSED [ 60%]
2022-05-18T04:40:08.3870809Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_lstm_trilayer_forward_with_initial_state_without_sequence_lengths_with_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:08.4073313Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:08.4188129Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:08.4633361Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:08.4836095Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:08.4951867Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:08.5037245Z PASSED [ 60%]
2022-05-18T04:40:08.5428193Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_lstm_trilayer_forward_with_initial_state_without_sequence_lengths_without_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:08.5628881Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:08.5744329Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:08.6190947Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:08.6392352Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:08.6507716Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:08.6593688Z PASSED [ 60%]
2022-05-18T04:40:08.6990025Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_lstm_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:08.6990740Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:08.7522042Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:08.7522814Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:08.8059302Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:08.8059986Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:08.8599048Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:08.8599981Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:08.8769333Z PASSED [ 60%]
2022-05-18T04:40:08.9168915Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_lstm_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:08.9169648Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:08.9699959Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:08.9700678Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:09.0237459Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:09.0238023Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:09.0772134Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:09.0772829Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:09.0954346Z PASSED [ 61%]
2022-05-18T04:40:09.1352465Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_lstm_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:09.1353165Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:09.1884937Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:09.1885648Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:09.2416463Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:09.2417143Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:09.2949790Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:09.2950479Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:09.3119726Z PASSED [ 61%]
2022-05-18T04:40:09.3516791Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_lstm_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:09.3517506Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:09.4048531Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:09.4049256Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:09.4579722Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:09.4580626Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:09.5116573Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:09.5117296Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:09.5286994Z PASSED [ 61%]
2022-05-18T04:40:09.6192998Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_lstm_unilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:09.6314550Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:09.6390846Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:09.7326805Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:09.7446368Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:09.7522811Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:09.7590331Z PASSED [ 61%]
2022-05-18T04:40:09.8491792Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_lstm_unilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:09.8612648Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:09.8690029Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:09.9630150Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:09.9750885Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:09.9832540Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:09.9899639Z PASSED [ 61%]
2022-05-18T04:40:10.0285647Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_lstm_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:10.0286353Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:10.0767491Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:10.0768006Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:10.1261758Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:10.1262306Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:10.1738884Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:10.1739412Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:10.1876975Z PASSED [ 61%]
2022-05-18T04:40:10.2264177Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_lstm_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:10.2264864Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:10.2743197Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:10.2743726Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:10.3237550Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:10.3238086Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:10.3713569Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:10.3714096Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:10.3851911Z PASSED [ 61%]
2022-05-18T04:40:10.4235278Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_lstm_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:10.4235975Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:10.4711959Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:10.4712671Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:10.5196557Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:10.5197091Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:10.5672679Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:10.5673199Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:10.5806603Z PASSED [ 61%]
2022-05-18T04:40:10.6192089Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_lstm_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:10.6192793Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:10.6668691Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:10.6669562Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:10.7157651Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:10.7158669Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:10.7637547Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:10.7638409Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:10.7771910Z PASSED [ 62%]
2022-05-18T04:40:10.8148889Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_lstm_unilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:10.8268397Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:10.8336302Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:10.8727903Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:10.8847616Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:10.8916070Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:10.8962828Z PASSED [ 62%]
2022-05-18T04:40:10.9344662Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_lstm_unilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:10.9464986Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:10.9533456Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:10.9929912Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:11.0049748Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:11.0118214Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:11.0165113Z PASSED [ 62%]
2022-05-18T04:40:11.0543669Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_lstm_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:11.0544958Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:11.1019919Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:11.1020834Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:11.1496842Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:11.1498090Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:11.1972801Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:11.1973698Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:11.2100684Z PASSED [ 62%]
2022-05-18T04:40:11.2475357Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_lstm_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:11.2476252Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:11.2948865Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:11.2949399Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:11.3420291Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:11.3420987Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:11.3893733Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:11.3894443Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:11.4025459Z PASSED [ 62%]
2022-05-18T04:40:11.4398252Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_lstm_unilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:11.4398967Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:11.4875646Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:11.4876357Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:11.5338155Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:11.5338695Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:11.5810387Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:11.5810966Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:11.5929833Z PASSED [ 62%]
2022-05-18T04:40:11.6303232Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_lstm_unilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:11.6303947Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:11.6779405Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:11.6780192Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:11.7252136Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:11.7252673Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:11.7730101Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:11.7730644Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:11.7854867Z PASSED [ 62%]
2022-05-18T04:40:11.8735957Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_lstm_unilayer_forward_no_initial_state_without_sequence_lengths_with_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:11.8796406Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:11.8838945Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:11.9747773Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:11.9807186Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:11.9849740Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:11.9912054Z PASSED [ 62%]
2022-05-18T04:40:12.0790274Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_lstm_unilayer_forward_no_initial_state_without_sequence_lengths_without_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:12.0852129Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:12.0900393Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:12.1819162Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:12.1880759Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:12.1928529Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:12.1992822Z PASSED [ 63%]
2022-05-18T04:40:12.2363121Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_lstm_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:12.2363829Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:12.2782164Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:12.2782918Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:12.3215478Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:12.3216575Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:12.3637968Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:12.3638814Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:12.3734197Z PASSED [ 63%]
2022-05-18T04:40:12.4103789Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_lstm_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:12.4105124Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:12.4527424Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:12.4961801Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:12.4963124Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:12.4964111Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:12.5383777Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:12.5384676Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:12.5479628Z PASSED [ 63%]
2022-05-18T04:40:12.5847219Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_lstm_unilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:12.5848816Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:12.6271376Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:12.6272231Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:12.6696876Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:12.6697879Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:12.7120407Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:12.7121371Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:12.7208831Z PASSED [ 63%]
2022-05-18T04:40:12.7575402Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_lstm_unilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:12.7576820Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:12.7996531Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:12.7997356Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:12.8419414Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:12.8419963Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:12.8840541Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:12.8841080Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:12.8928551Z PASSED [ 63%]
2022-05-18T04:40:12.9285400Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_lstm_unilayer_forward_with_initial_state_without_sequence_lengths_with_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:12.9343184Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:12.9376712Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:12.9743344Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:12.9800522Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:12.9834074Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:12.9873297Z PASSED [ 63%]
2022-05-18T04:40:13.0231768Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_lstm_unilayer_forward_with_initial_state_without_sequence_lengths_without_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:13.0290262Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:13.0323819Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:13.0698109Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:13.0757263Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:13.0791410Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:13.0836969Z PASSED [ 63%]
2022-05-18T04:40:13.1722812Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_lt PASSED [ 63%]
2022-05-18T04:40:13.2271660Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_lt_scalar PASSED [ 64%]
2022-05-18T04:40:15.9222432Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_mask_rcnn WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:15.9223826Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:26.0684457Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:26.0685374Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:26.2890540Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:26.2891497Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:26.5122426Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:26.5123628Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:33.2110467Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:33.2375909Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:40.5349026Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:40.5657465Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:48.0115015Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:40:49.7216979Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:49.7217611Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:50.3659208Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:50.3659760Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:50.3964023Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:50.8969551Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:50.8970098Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:50.9057019Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:50.9057917Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:50.9143492Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:50.9144218Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:51.2088143Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:51.2104099Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:51.5785162Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:51.5802315Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:51.7944625Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:51.8007566Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:40:51.8427388Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:51.8427945Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:51.9244334Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:51.9244842Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:51.9465955Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:52.0687396Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:52.0687946Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:52.0765921Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:52.0766428Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:52.0843294Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:52.0843788Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:52.2932817Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:52.2936081Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:52.6174816Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:52.6178093Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:52.7973045Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:52.7999748Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:40:52.8351454Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:52.8351989Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:57.1942784Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:40:57.1943690Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:41:07.3169930Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:41:07.3170853Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:41:07.5380557Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:41:07.5381422Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:41:07.7610956Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:41:07.7611895Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:41:14.4840576Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:41:14.5109730Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:41:21.8217891Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:41:21.8540321Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:41:29.3074467Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:41:31.0128536Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:41:31.0129398Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:41:31.6626368Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:41:31.6626905Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:41:31.6916877Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:41:32.1675915Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:41:32.1676439Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:41:32.1762573Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:41:32.1763082Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:41:32.1845627Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:41:32.1846145Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:41:32.4606864Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:41:32.4622682Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:41:32.8165138Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:41:32.8180393Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:41:33.0187478Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:41:33.0246827Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:41:33.0663825Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:41:33.0664323Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:41:33.1514812Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:41:33.1515510Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:41:33.1722563Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:41:33.2851570Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:41:33.2852124Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:41:33.2925149Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:41:33.2925927Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:41:33.2997627Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:41:33.4945437Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:41:33.4946012Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:41:33.4948488Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:41:33.8051452Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:41:33.8054743Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:41:33.9726492Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:41:33.9751859Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:41:34.0097930Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:41:34.0098478Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:41:38.5177997Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:41:38.5178545Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:41:48.6265135Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:41:48.6268995Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:41:48.8472463Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:41:48.8472999Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:41:49.0682020Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:41:49.0682709Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:41:55.7476314Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:41:55.7739173Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:42:03.0573441Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:42:03.0879979Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:42:10.5425591Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:42:12.2500483Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:42:12.2501050Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:42:12.8941968Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:42:12.8942503Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:42:12.9227102Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:42:13.4060835Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:42:13.4061395Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:42:13.4143388Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:42:13.4143896Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:42:13.4225632Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:42:13.4226135Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:42:13.6979679Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:42:13.6994272Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:42:14.0512651Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:42:14.0527096Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:42:14.2527009Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:42:14.2586731Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:42:14.3000298Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:42:14.3844668Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:42:14.3845177Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:42:14.3845675Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:42:14.4051493Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:42:14.5230109Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:42:14.5230624Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:42:14.5303650Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:42:14.5304193Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:42:14.5375655Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:42:14.5376169Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:42:14.7312792Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:42:14.7315656Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:42:15.0393579Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:42:15.0396297Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:42:15.2066737Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:42:15.2091052Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:42:15.2435197Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:42:15.2435689Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:42:22.0505309Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:42:22.0506524Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:42:32.1964196Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:42:32.1964750Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:42:32.4167521Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:42:32.4168086Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:42:32.6390289Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:42:32.6390836Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:42:39.3361212Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:42:39.3625601Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:42:46.6698733Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:42:46.7009206Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:42:54.1947372Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:42:55.9056376Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:42:55.9056926Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:42:56.5540412Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:42:56.5540987Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:42:56.5828551Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:42:57.0663241Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:42:57.0664123Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:42:57.0747913Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:42:57.0748735Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:42:57.0831554Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:42:57.0832159Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:42:57.3605561Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:42:57.3620893Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:42:57.7166436Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:42:57.7180914Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:42:57.9193801Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:42:57.9253415Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:42:57.9671027Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:42:57.9671658Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:42:58.0527083Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:42:58.0527589Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:42:58.0736052Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:42:58.1929803Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:42:58.1930365Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:42:58.2004756Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:42:58.2005297Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:42:58.2077647Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:42:58.2078241Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:42:58.4035182Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:42:58.4038039Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:42:58.7140056Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:42:58.7143032Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:42:58.8816187Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:42:58.8844670Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:42:58.9192447Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:42:58.9192966Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:43:02.7625206Z PASSED [ 64%]
2022-05-18T04:43:02.8429614Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_masked_fill PASSED [ 64%]
2022-05-18T04:43:02.8521980Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_masked_fill_inplace Warning: ONNX Preprocess - Removing mutation from node aten::masked_fill_ on block input: 'x.1'. This changes graph semantics.
2022-05-18T04:43:02.8762541Z Warning: ONNX Preprocess - Removing mutation from node aten::masked_fill_ on block input: 'x.1'. This changes graph semantics.
2022-05-18T04:43:02.8976329Z PASSED [ 64%]
2022-05-18T04:43:02.9524377Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_masked_scatter PASSED [ 64%]
2022-05-18T04:43:02.9921173Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_masked_select PASSED [ 64%]
2022-05-18T04:43:03.0362616Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_matmul PASSED [ 64%]
2022-05-18T04:43:03.0963275Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_matmul_batch PASSED [ 64%]
2022-05-18T04:43:03.1701684Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_max_int PASSED [ 65%]
2022-05-18T04:43:03.1969067Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_max_tensors PASSED [ 65%]
2022-05-18T04:43:03.2405592Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_maximum_minimum PASSED [ 65%]
2022-05-18T04:43:03.3235145Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_maxpool PASSED [ 65%]
2022-05-18T04:43:03.3902740Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_maxpool_1d_ceil PASSED [ 65%]
2022-05-18T04:43:03.4599449Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_maxpool_2d PASSED [ 65%]
2022-05-18T04:43:03.5337235Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_maxpool_2d_ceil PASSED [ 65%]
2022-05-18T04:43:04.2053119Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_maxpool_3d_ceil PASSED [ 65%]
2022-05-18T04:43:04.2432174Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_maxpool_adaptive PASSED [ 66%]
2022-05-18T04:43:04.2991389Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_maxpool_default_stride PASSED [ 66%]
2022-05-18T04:43:04.3490492Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_maxpool_dilation PASSED [ 66%]
2022-05-18T04:43:04.4097711Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_maxpool_with_indices PASSED [ 66%]
2022-05-18T04:43:04.4603220Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_meshgrid PASSED [ 66%]
2022-05-18T04:43:04.5098678Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_meshgrid_scalar PASSED [ 66%]
2022-05-18T04:43:04.5747440Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_min_int PASSED [ 66%]
2022-05-18T04:43:04.6564581Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_minimum_dtypes PASSED [ 66%]
2022-05-18T04:43:04.6850575Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_mish PASSED [ 67%]
2022-05-18T04:43:04.6997472Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_mixed_optional PASSED [ 67%]
2022-05-18T04:43:04.7602710Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_mixed_optional_default_none PASSED [ 67%]
2022-05-18T04:43:04.7817170Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_mixed_optional_default_tensor PASSED [ 67%]
2022-05-18T04:43:04.9059475Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_mixed_optional_default_tensor_script PASSED [ 67%]
2022-05-18T04:43:10.2798166Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_mobilenet_v3 PASSED [ 67%]
2022-05-18T04:43:10.2818602Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_mobilenet_v3_quant SKIPPED [ 67%]
2022-05-18T04:43:10.2842736Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_mod_with_low_precision SKIPPED [ 67%]
2022-05-18T04:43:10.8983240Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_multi_scale_roi_align PASSED [ 68%]
2022-05-18T04:43:10.9771808Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_multinomial PASSED [ 68%]
2022-05-18T04:43:11.2843916Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_multiple_conv_bn Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'bn.num_batches_tracked'. This changes graph semantics.
2022-05-18T04:43:11.2845538Z Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'bn2.num_batches_tracked'. This changes graph semantics.
2022-05-18T04:43:11.8116123Z PASSED [ 68%]
2022-05-18T04:43:11.9295800Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_multiple_dynamic_repeat_interleave PASSED [ 68%]
2022-05-18T04:43:11.9727610Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_mv PASSED [ 68%]
2022-05-18T04:43:12.1413441Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_nan_to_num PASSED [ 68%]
2022-05-18T04:43:12.1819920Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_narrow PASSED [ 68%]
2022-05-18T04:43:12.2444232Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_narrow_dynamic PASSED [ 68%]
2022-05-18T04:43:12.3266454Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_nested_tuple_input PASSED [ 69%]
2022-05-18T04:43:12.3481691Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_nested_tuple_output PASSED [ 69%]
2022-05-18T04:43:12.6225883Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_new_empty PASSED [ 69%]
2022-05-18T04:43:12.8406864Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_new_full PASSED [ 69%]
2022-05-18T04:43:13.0283488Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_new_ones PASSED [ 69%]
2022-05-18T04:43:13.2170814Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_new_zeros PASSED [ 69%]
2022-05-18T04:43:13.3088150Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_nllloss PASSED [ 69%]
2022-05-18T04:43:13.4342401Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_nllloss_2d_mean PASSED [ 69%]
2022-05-18T04:43:13.5521542Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_nllloss_2d_mean_ignore_index PASSED [ 70%]
2022-05-18T04:43:13.6711199Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_nllloss_2d_mean_ignore_index_weights PASSED [ 70%]
2022-05-18T04:43:13.7911607Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_nllloss_2d_mean_weights PASSED [ 70%]
2022-05-18T04:43:13.9134318Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_nllloss_2d_none PASSED [ 70%]
2022-05-18T04:43:14.0371132Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_nllloss_2d_sum PASSED [ 70%]
2022-05-18T04:43:14.1671591Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_nllloss_dynamic_ignore_index PASSED [ 70%]
2022-05-18T04:43:14.2045955Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_nms PASSED [ 70%]
2022-05-18T04:43:14.2196474Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_nonzero PASSED [ 70%]
2022-05-18T04:43:14.2528743Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_normalize WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:43:14.2589117Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:43:14.2602585Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:43:14.2828085Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:43:14.2888370Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:43:14.2893395Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:43:14.2927907Z PASSED [ 71%]
2022-05-18T04:43:14.3230183Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_numel PASSED [ 71%]
2022-05-18T04:43:14.3523577Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_numel_empty PASSED [ 71%]
2022-05-18T04:43:14.4434457Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_one_hot PASSED [ 71%]
2022-05-18T04:43:14.5379860Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_ones_bool PASSED [ 71%]
2022-05-18T04:43:14.5479730Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_onnx_checker_invalid_graph PASSED [ 71%]
2022-05-18T04:43:14.5576851Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_onnx_proto_checker PASSED [ 71%]
2022-05-18T04:43:14.6416184Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_outer PASSED [ 71%]
2022-05-18T04:43:14.6648729Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_pad_int Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:43:14.6661346Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:43:14.6665776Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:43:14.6675893Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:43:14.6681047Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:43:14.6857142Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:43:14.6866262Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:43:14.6873696Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:43:14.6879172Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:43:14.6884327Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:43:14.6922531Z PASSED [ 72%]
2022-05-18T04:43:14.7140421Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_pad_types WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:43:14.7156657Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:43:14.7366414Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:43:14.7382373Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:43:14.7631799Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:43:14.7646260Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:43:14.7856791Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:43:14.7873923Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:43:14.7937114Z PASSED [ 72%]
2022-05-18T04:43:14.8374066Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_pairwise_distance PASSED [ 72%]
2022-05-18T04:43:15.0144619Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_paste_mask_in_image PASSED [ 72%]
2022-05-18T04:43:15.0719981Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_pixel_shuffle PASSED [ 72%]
2022-05-18T04:43:15.1364126Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_pixel_unshuffle PASSED [ 72%]
2022-05-18T04:43:15.3372701Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_pow PASSED [ 72%]
2022-05-18T04:43:15.3641694Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_prelu PASSED [ 72%]
2022-05-18T04:43:15.3855169Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_prelu_scalar PASSED [ 73%]
2022-05-18T04:43:15.5273777Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_prim_min PASSED [ 73%]
2022-05-18T04:43:15.5426143Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_primitive_input_bool PASSED [ 73%]
2022-05-18T04:43:15.5687678Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_primitive_input_floating PASSED [ 73%]
2022-05-18T04:43:15.5971262Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_primitive_input_integer PASSED [ 73%]
2022-05-18T04:43:15.6701099Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_qat_conv2d WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:43:15.7011625Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:43:15.7025511Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:43:15.7880136Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:43:15.8194406Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:43:15.8206740Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:43:15.8330228Z PASSED [ 73%]
2022-05-18T04:43:15.9015519Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_qat_conv2d_relu WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:43:15.9323118Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:43:15.9337452Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:43:15.9373656Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:43:16.0292088Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:43:16.0604675Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:43:16.0618560Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:43:16.0654484Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:43:16.0788788Z PASSED [ 73%]
2022-05-18T04:43:16.1558852Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_qat_conv2d_relu_fused WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:43:16.1867226Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:43:16.1880314Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:43:16.2787278Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:43:16.3098464Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:43:16.3112801Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:43:16.3241127Z PASSED [ 73%]
2022-05-18T04:43:16.3819444Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_qat_linear_per_channel WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:43:16.4021833Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:43:16.4035858Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:43:16.4739362Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:43:16.4944252Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:43:16.4957568Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:43:16.5076148Z PASSED [ 74%]
2022-05-18T04:43:16.5545722Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_qat_maxpool2d WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:43:16.5580541Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:43:16.5825799Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:43:16.6000832Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:43:16.6082096Z PASSED [ 74%]
2022-05-18T04:43:16.6433138Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_qat_relu WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:43:16.6465121Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:43:16.6695091Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:43:16.6728671Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:43:16.6808915Z PASSED [ 74%]
2022-05-18T04:43:16.7094412Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_quantize_per_tensor WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:43:16.7125465Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:43:16.7313962Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:43:16.7431233Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:43:16.7481250Z PASSED [ 74%]
2022-05-18T04:43:16.7665394Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_quantized_adaptive_avg_pool2d WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:43:16.7905603Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:43:16.7959145Z PASSED [ 74%]
2022-05-18T04:43:16.8220494Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_quantized_arithmetic WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:43:16.8260566Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:43:16.8578831Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:43:16.8618486Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:43:16.8701934Z PASSED [ 74%]
2022-05-18T04:43:16.8969807Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_quantized_arithmetic_qfunctional WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:43:16.9009125Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:43:16.9093520Z PASSED [ 74%]
2022-05-18T04:43:16.9729608Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_quantized_conv2d WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:43:16.9741094Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:43:17.0658462Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:43:17.0669571Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:43:17.0771253Z PASSED [ 74%]
2022-05-18T04:43:17.1429826Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_quantized_conv2d_relu WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:43:17.1442669Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:43:17.2362444Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:43:17.2374314Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:43:17.2479167Z PASSED [ 75%]
2022-05-18T04:43:17.2708675Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_quantized_flatten WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:43:17.2973102Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:43:17.3038354Z PASSED [ 75%]
2022-05-18T04:43:17.3179405Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_quantized_hardsigmoid WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:43:17.3369853Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:43:17.3424679Z PASSED [ 75%]
2022-05-18T04:43:17.3662158Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_quantized_hardswish WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:43:17.3914587Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:43:17.3969958Z PASSED [ 75%]
2022-05-18T04:43:17.4468579Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_quantized_linear WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:43:17.4480898Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:43:17.5130212Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:43:17.5143982Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:43:17.5229950Z PASSED [ 75%]
2022-05-18T04:43:17.6714529Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_random PASSED [ 75%]
2022-05-18T04:43:17.8336630Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_random_dynamic_size PASSED [ 75%]
2022-05-18T04:43:18.0003121Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_random_like PASSED [ 75%]
2022-05-18T04:43:18.2193490Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_random_like_dtype PASSED [ 76%]
2022-05-18T04:43:18.2782886Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_reciprocal PASSED [ 76%]
2022-05-18T04:43:18.3409540Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_reduce_log_sum_exp PASSED [ 76%]
2022-05-18T04:43:18.4161319Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_reduced_mean PASSED [ 76%]
2022-05-18T04:43:18.5601059Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_reduced_min_max PASSED [ 76%]
2022-05-18T04:43:18.7822543Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_reduced_prod PASSED [ 76%]
2022-05-18T04:43:19.0775611Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_reduced_sum PASSED [ 76%]
2022-05-18T04:43:19.1448741Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_reduced_sum_dtypes PASSED [ 76%]
2022-05-18T04:43:19.1660891Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_reflection_pad Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:43:19.1676951Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:43:19.1692617Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:43:19.1870733Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:43:19.1887219Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:43:19.1898173Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:43:19.2125552Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:43:19.2142278Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:43:19.2157689Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:43:19.2336651Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:43:19.2352958Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:43:19.2362830Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:43:19.2401328Z PASSED [ 77%]
2022-05-18T04:43:19.2796983Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_relu6 PASSED [ 77%]
2022-05-18T04:43:19.2989542Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_relu_int PASSED [ 77%]
2022-05-18T04:43:19.4064320Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_remainder PASSED [ 77%]
2022-05-18T04:43:19.4598339Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_remainder_scalar PASSED [ 77%]
2022-05-18T04:43:19.5365276Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_repeat PASSED [ 77%]
2022-05-18T04:43:19.8548742Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_repeat_interleave PASSED [ 77%]
2022-05-18T04:43:19.9090154Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_repeat_interleave_noop PASSED [ 77%]
2022-05-18T04:43:19.9310553Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_replication_pad Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:43:19.9326372Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:43:19.9342428Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:43:19.9521726Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:43:19.9539353Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:43:19.9549419Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:43:19.9779135Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:43:19.9796796Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:43:19.9813328Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:43:19.9993584Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:43:20.0010031Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:43:20.0020590Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:43:20.0059608Z PASSED [ 78%]
2022-05-18T04:43:20.0078074Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_reshape_allowzero SKIPPED [ 78%]
2022-05-18T04:43:20.0417023Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_reshape_constant_fold PASSED [ 78%]
2022-05-18T04:43:20.0716652Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_reshape_different_rank PASSED [ 78%]
2022-05-18T04:43:20.2292163Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_resize_images WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:43:20.2341875Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:43:20.2424645Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:43:20.4772626Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:43:20.4773577Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:43:20.4886750Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:43:20.4887760Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:43:20.4908047Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:43:20.4909006Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:43:20.5032764Z PASSED [ 78%]
2022-05-18T04:43:20.5361035Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_rnn_no_bias WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:43:20.5365742Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:43:20.5372042Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:43:20.5374892Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:43:20.5379999Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:43:20.5380853Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:43:20.5701210Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:43:20.5706002Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:43:20.5716750Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:43:20.5729443Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:43:20.5745044Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:43:20.5747606Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:43:20.5754552Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:43:20.5761046Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:43:20.5770857Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:43:20.5771798Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:43:20.5775852Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:43:20.5780957Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:43:20.6142406Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:43:20.6143314Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:43:20.6342190Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:43:20.6493901Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:43:20.6494977Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:43:20.6500926Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:43:20.6506958Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:43:20.6866081Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:43:20.6867204Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:43:20.7065461Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:43:20.7076572Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:43:20.7087852Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:43:20.7244451Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:43:20.7244993Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:43:20.7253822Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:43:20.7259171Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:43:20.7264141Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:43:20.7273016Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:43:20.7276523Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:43:20.7280127Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:43:20.7643726Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:43:20.7644253Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:43:20.7842930Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:43:20.7993829Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:43:20.7994353Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:43:20.8001024Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:43:20.8007260Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:43:20.8364234Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:43:20.8364904Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:43:20.8563349Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:43:20.8573944Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:43:20.8584847Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:43:20.8739976Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:43:20.8740501Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:43:20.8750209Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:43:20.8755275Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:43:20.8760312Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:43:20.8769242Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:43:20.8773387Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:43:20.8776832Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:43:20.8843441Z PASSED [ 78%]
2022-05-18T04:43:20.9477809Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_roi_align PASSED [ 78%]
2022-05-18T04:43:21.1626936Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_roi_align_aligned PASSED [ 78%]
2022-05-18T04:43:25.5190136Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_roi_heads WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:43:25.5323467Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:43:30.4226768Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:43:30.4412370Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:43:33.8384871Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:43:33.8385797Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:43:33.9964161Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:43:33.9965369Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:43:34.0988491Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:43:34.0989041Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:43:34.2935057Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:43:34.2935709Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:43:37.4881190Z PASSED [ 79%]
2022-05-18T04:43:37.5327715Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_roi_pool PASSED [ 79%]
2022-05-18T04:43:37.6828221Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_roll PASSED [ 79%]
2022-05-18T04:43:37.7043563Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_round PASSED [ 79%]
2022-05-18T04:43:41.1276093Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_rpn WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:43:41.1406124Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:43:43.5626603Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:43:43.5627705Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:43:43.6458907Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:43:43.6460315Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:43:43.9875123Z PASSED [ 79%]
2022-05-18T04:43:44.0129222Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_rsqrt PASSED [ 79%]
2022-05-18T04:43:44.0366231Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_rsqrt_zeros PASSED [ 79%]
2022-05-18T04:43:44.1238734Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_scalar_tensor PASSED [ 79%]
2022-05-18T04:43:44.5385303Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_scalar_type PASSED [ 80%]
2022-05-18T04:43:44.6475307Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_scatter PASSED [ 80%]
2022-05-18T04:43:44.6891463Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_scatter_add Warning: ONNX Preprocess - Removing mutation from node aten::scatter_add_ on block input: 'src.1'. This changes graph semantics.
2022-05-18T04:43:44.6892345Z Warning: ONNX Preprocess - Removing mutation from node aten::scatter_add_ on block input: 'index.1'. This changes graph semantics.
2022-05-18T04:43:44.7228447Z Warning: ONNX Preprocess - Removing mutation from node aten::scatter_add_ on block input: '0'. This changes graph semantics.
2022-05-18T04:43:44.7228990Z Warning: ONNX Preprocess - Removing mutation from node aten::scatter_add_ on block input: '1'. This changes graph semantics.
2022-05-18T04:43:44.7539465Z PASSED [ 80%]
2022-05-18T04:43:44.7905353Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_scatter_with_scalar PASSED [ 80%]
2022-05-18T04:43:44.8274265Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_scatter_with_scalar_different_types PASSED [ 80%]
2022-05-18T04:43:44.8508855Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_script_custom_class_error PASSED [ 80%]
2022-05-18T04:43:44.9050423Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_select PASSED [ 80%]
2022-05-18T04:43:44.9622537Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_select_negative_index PASSED [ 80%]
2022-05-18T04:43:45.0029405Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_sequance_loopcarried PASSED [ 80%]
2022-05-18T04:43:45.0588807Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_sequence_to_bool PASSED [ 81%]
2022-05-18T04:43:45.1177567Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_sequence_to_float PASSED [ 81%]
2022-05-18T04:43:45.1770902Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_sequence_to_int PASSED [ 81%]
2022-05-18T04:43:45.2294799Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_set_ PASSED [ 81%]
2022-05-18T04:43:45.2936147Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_set_attr PASSED [ 81%]
2022-05-18T04:43:45.3599235Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_set_attr_2 PASSED [ 81%]
2022-05-18T04:43:45.4920939Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_set_attr_3 PASSED [ 81%]
2022-05-18T04:43:45.5938232Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_set_attr_4 PASSED [ 81%]
2022-05-18T04:43:46.0618576Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_set_attr_5 PASSED [ 82%]
2022-05-18T04:43:46.5062243Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_set_attr_in_loop PASSED [ 82%]
2022-05-18T04:43:46.6386215Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_set_attr_in_loop_with_list PASSED [ 82%]
2022-05-18T04:43:46.9840473Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_set_attr_modules PASSED [ 82%]
2022-05-18T04:43:47.3012228Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_set_attr_modules_2 PASSED [ 82%]
2022-05-18T04:43:47.3450151Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_shape_constant_fold PASSED [ 82%]
2022-05-18T04:43:47.3959277Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_shape_value_map PASSED [ 82%]
2022-05-18T04:43:55.2137540Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_shufflenet_v2_dynamic_axes PASSED [ 82%]
2022-05-18T04:43:55.2435596Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_silu PASSED [ 83%]
2022-05-18T04:43:55.4995290Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_size PASSED [ 83%]
2022-05-18T04:43:55.7692283Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_slice_dynamic PASSED [ 83%]
2022-05-18T04:43:55.7939948Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_slice_dynamic_script PASSED [ 83%]
2022-05-18T04:43:55.9314264Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_slice_dynamic_shape_script PASSED [ 83%]
2022-05-18T04:43:56.1509079Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_slice_dynamic_to_end PASSED [ 83%]
2022-05-18T04:43:56.1998623Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_slice_neg PASSED [ 83%]
2022-05-18T04:43:56.3266006Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_slice_neg_large PASSED [ 83%]
2022-05-18T04:43:56.4475330Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_slice_neg_large_negone PASSED [ 84%]
2022-05-18T04:43:56.4888908Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_slice_trace PASSED [ 84%]
2022-05-18T04:43:56.7730806Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_slice_with_input_index PASSED [ 84%]
2022-05-18T04:43:57.2031424Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_softmax PASSED [ 84%]
2022-05-18T04:43:57.3777905Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_softmax_large_values PASSED [ 84%]
2022-05-18T04:43:57.4806994Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_softplus PASSED [ 84%]
2022-05-18T04:43:57.5702808Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_softshrink PASSED [ 84%]
2022-05-18T04:43:57.6168243Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_sort PASSED [ 84%]
2022-05-18T04:43:57.6638199Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_sort_ascending PASSED [ 85%]
2022-05-18T04:43:57.6999993Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_spectral_norm PASSED [ 85%]
2022-05-18T04:43:57.7607525Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_split PASSED [ 85%]
2022-05-18T04:43:57.8119766Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_split_dynamic PASSED [ 85%]
2022-05-18T04:43:57.8473297Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_split_dynamic_axes PASSED [ 85%]
2022-05-18T04:43:57.9911895Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_split_script PASSED [ 85%]
2022-05-18T04:43:58.0181870Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_split_size_as_list PASSED [ 85%]
2022-05-18T04:43:58.1419134Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_split_size_with_slice PASSED [ 85%]
2022-05-18T04:43:58.1440831Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_split_tensor_multi PASSED [ 86%]
2022-05-18T04:43:58.1834706Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_split_tensor_scalar PASSED [ 86%]
2022-05-18T04:43:58.2053616Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_square PASSED [ 86%]
2022-05-18T04:43:58.2337720Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_squeeze PASSED [ 86%]
2022-05-18T04:43:58.2544458Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_squeeze_all_dims PASSED [ 86%]
2022-05-18T04:43:58.2862709Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_squeeze_dynamic PASSED [ 86%]
2022-05-18T04:43:58.3093657Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_squeeze_dynamic_dim PASSED [ 86%]
2022-05-18T04:43:58.3411002Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_squeeze_neg PASSED [ 86%]
2022-05-18T04:43:58.3674218Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_squeeze_neg_without_no_op PASSED [ 87%]
2022-05-18T04:43:58.3989485Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_squeeze_no_op PASSED [ 87%]
2022-05-18T04:43:58.5713800Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_squeeze_runtime_dim PASSED [ 87%]
2022-05-18T04:43:58.5988377Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_squeeze_without_no_op PASSED [ 87%]
2022-05-18T04:43:58.6384981Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_stack PASSED [ 87%]
2022-05-18T04:43:58.6626709Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_stack_dynamic PASSED [ 87%]
2022-05-18T04:43:58.7256069Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_std PASSED [ 87%]
2022-05-18T04:43:58.8106515Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_std_along_dims PASSED [ 87%]
2022-05-18T04:43:58.8580399Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_std_correction PASSED [ 88%]
2022-05-18T04:43:58.9430433Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_std_keepdim PASSED [ 88%]
2022-05-18T04:43:59.0052795Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_std_mean PASSED [ 88%]
2022-05-18T04:43:59.0921538Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_std_mean_along_dims PASSED [ 88%]
2022-05-18T04:43:59.1407331Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_std_mean_correction PASSED [ 88%]
2022-05-18T04:43:59.2285102Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_std_mean_keepdim PASSED [ 88%]
2022-05-18T04:43:59.2560662Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_sum PASSED [ 88%]
2022-05-18T04:43:59.4376544Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_sum_empty_tensor PASSED [ 88%]
2022-05-18T04:43:59.7600393Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_symbolic_shape_inference PASSED [ 89%]
2022-05-18T04:44:00.1841290Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_symbolic_shape_inference_arange PASSED [ 89%]
2022-05-18T04:44:00.4427768Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_symbolic_shape_inference_arange_2 PASSED [ 89%]
2022-05-18T04:44:00.8953912Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_symbolic_shape_inference_box PASSED [ 89%]
2022-05-18T04:44:00.9749736Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_symbolic_shape_inference_box_if PASSED [ 89%]
2022-05-18T04:44:01.0444339Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_symbolic_shape_inference_dynamic_axes PASSED [ 89%]
2022-05-18T04:44:01.0825760Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_symbolic_shape_inference_expand_1 PASSED [ 89%]
2022-05-18T04:44:01.3075104Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_symbolic_shape_inference_expand_2 PASSED [ 89%]
2022-05-18T04:44:01.7245349Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_symbolic_shape_inference_nonzero PASSED [ 90%]
2022-05-18T04:44:01.8886705Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_symbolic_shape_inference_slice PASSED [ 90%]
2022-05-18T04:44:02.0092628Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_symbolic_shape_inference_slice_2 PASSED [ 90%]
2022-05-18T04:44:02.0449906Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_symbolic_shape_inference_time WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:44:02.0506566Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:44:02.0539067Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:44:02.0858881Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:44:02.0882265Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:44:02.0890422Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:44:02.0903415Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:44:02.0909464Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:44:02.0910010Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:44:02.1221978Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:44:02.1225578Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:44:02.1231877Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:44:02.1234081Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:44:02.1238751Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:44:02.1239471Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:44:02.1277759Z PASSED [ 90%]
2022-05-18T04:44:02.1543134Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_take PASSED [ 90%]
2022-05-18T04:44:02.1895669Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_tanh_gelu PASSED [ 90%]
2022-05-18T04:44:02.2550448Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_tanhshrink PASSED [ 90%]
2022-05-18T04:44:02.4890504Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_tensor PASSED [ 90%]
2022-05-18T04:44:02.7208090Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_tensor_factories PASSED [ 91%]
2022-05-18T04:44:02.7806580Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_tensor_factories_script PASSED [ 91%]
2022-05-18T04:44:03.1592231Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_tensor_index_advanced_indexing PASSED [ 91%]
2022-05-18T04:44:03.2609399Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_tensor_index_advanced_indexing_consecutive PASSED [ 91%]
2022-05-18T04:44:03.2937245Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_tensor_index_advanced_indexing_ellipsis PASSED [ 91%]
2022-05-18T04:44:03.3611614Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_tensor_like_factories_script PASSED [ 91%]
2022-05-18T04:44:03.3859482Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_tensordot_dim_count PASSED [ 91%]
2022-05-18T04:44:03.4910603Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_tensordot_dim_list PASSED [ 91%]
2022-05-18T04:44:03.5171493Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_tensordot_dynamic_dim PASSED [ 92%]
2022-05-18T04:44:03.6155366Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_to_device PASSED [ 92%]
2022-05-18T04:44:03.6352364Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_tolist PASSED [ 92%]
2022-05-18T04:44:03.6800832Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_topk PASSED [ 92%]
2022-05-18T04:44:03.7211838Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_topk_int32_k PASSED [ 92%]
2022-05-18T04:44:03.7430692Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_topk_script PASSED [ 92%]
2022-05-18T04:44:03.8200083Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_topk_smallest_unsorted PASSED [ 92%]
2022-05-18T04:44:03.8435764Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_torch_mm PASSED [ 92%]
2022-05-18T04:44:03.9463198Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_trace_script PASSED [ 93%]
2022-05-18T04:44:04.2355909Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_transform_images WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:44:04.4803618Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:44:04.4804577Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:44:04.4805512Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:44:04.8955713Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:44:04.8956966Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:44:04.8971245Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:44:04.8972320Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:44:04.9005746Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:44:04.9029726Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:44:04.9070539Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:44:04.9071716Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:44:04.9091884Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:44:04.9092817Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:44:04.9131501Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:44:04.9154940Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:44:04.9487005Z PASSED [ 93%]
2022-05-18T04:44:06.1479585Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_transformer_encoder PASSED [ 93%]
2022-05-18T04:44:06.2037119Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_transpose_infer_shape PASSED [ 93%]
2022-05-18T04:44:06.3278569Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_tril PASSED [ 93%]
2022-05-18T04:44:06.4513152Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_triu PASSED [ 93%]
2022-05-18T04:44:06.4752455Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_tuple_input PASSED [ 93%]
2022-05-18T04:44:06.4874139Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_tuple_of_optional PASSED [ 93%]
2022-05-18T04:44:06.4990971Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_tuple_of_optional_default_tensor PASSED [ 94%]
2022-05-18T04:44:06.5811389Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_tuple_of_optional_default_tensor_script PASSED [ 94%]
2022-05-18T04:44:06.6021175Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_tuple_output PASSED [ 94%]
2022-05-18T04:44:06.6343933Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_tuple_output_from_if_with_raised_exception PASSED [ 94%]
2022-05-18T04:44:06.6650555Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_tuple_primitive_input PASSED [ 94%]
2022-05-18T04:44:06.6702777Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_tuple_with_none_outputs PASSED [ 94%]
2022-05-18T04:44:06.7488822Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_type_as PASSED [ 94%]
2022-05-18T04:44:06.8382227Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_unbind PASSED [ 94%]
2022-05-18T04:44:06.8834117Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_unbind_dynamic PASSED [ 95%]
2022-05-18T04:44:06.9217030Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_unfold PASSED [ 95%]
2022-05-18T04:44:07.0504542Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_unfold_dynamic_inputs PASSED [ 95%]
2022-05-18T04:44:07.1178007Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_unfold_infer_shape PASSED [ 95%]
2022-05-18T04:44:07.1817741Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_uninitialized PASSED [ 95%]
2022-05-18T04:44:07.2560340Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_uninitialized_dynamic PASSED [ 95%]
2022-05-18T04:44:07.3318995Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_uninitialized_intList PASSED [ 95%]
2022-05-18T04:44:07.4001231Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_uninitialized_tensorList PASSED [ 95%]
2022-05-18T04:44:07.5101295Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_uninitialized_tensorList_dynamic PASSED [ 96%]
2022-05-18T04:44:07.6094650Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_uninitialized_tensorList_shape PASSED [ 96%]
2022-05-18T04:44:07.6570177Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_unique PASSED [ 96%]
2022-05-18T04:44:07.7039714Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_unique_along_dim PASSED [ 96%]
2022-05-18T04:44:07.7188100Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_unsafe_chunk PASSED [ 96%]
2022-05-18T04:44:07.7469405Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_unsqueeze PASSED [ 96%]
2022-05-18T04:44:07.7686611Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_unsqueeze_dynamic_dim PASSED [ 96%]
2022-05-18T04:44:07.7709547Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_unsupported_pad SKIPPED [ 96%]
2022-05-18T04:44:08.1002426Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_var PASSED [ 97%]
2022-05-18T04:44:08.1867445Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_var_along_dims PASSED [ 97%]
2022-05-18T04:44:08.2344361Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_var_correction PASSED [ 97%]
2022-05-18T04:44:08.3191164Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_var_keepdim PASSED [ 97%]
2022-05-18T04:44:08.3812361Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_var_mean PASSED [ 97%]
2022-05-18T04:44:08.4678161Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_var_mean_along_dims PASSED [ 97%]
2022-05-18T04:44:08.5163219Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_var_mean_correction PASSED [ 97%]
2022-05-18T04:44:08.6032753Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_var_mean_keepdim PASSED [ 97%]
2022-05-18T04:44:08.7218088Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_var_mean_mixed_dims PASSED [ 98%]
2022-05-18T04:44:08.7506300Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_view PASSED [ 98%]
2022-05-18T04:44:08.7733806Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_view_as PASSED [ 98%]
2022-05-18T04:44:08.8570677Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_view_dynamic PASSED [ 98%]
2022-05-18T04:44:08.9006167Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_view_dynamic_zero_dim PASSED [ 98%]
2022-05-18T04:44:09.0643669Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_weight_norm PASSED [ 98%]
2022-05-18T04:44:09.0960806Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_weight_norm_nodim PASSED [ 98%]
2022-05-18T04:44:09.1209013Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_where PASSED [ 98%]
2022-05-18T04:44:09.1744103Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_where_condition PASSED [ 99%]
2022-05-18T04:44:09.2810714Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_where_condition_script PASSED [ 99%]
2022-05-18T04:44:09.3481989Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_where_with_bool_tensor PASSED [ 99%]
2022-05-18T04:44:09.3731650Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_where_with_byte_tensor PASSED [ 99%]
2022-05-18T04:44:09.6292500Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_word_language_model_GRU WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:44:09.7005266Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:44:09.7236859Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:44:09.7984821Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:44:09.8959062Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:44:09.9173128Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:44:09.9311592Z PASSED [ 99%]
2022-05-18T04:44:10.0010990Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_word_language_model_LSTM WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:44:10.1022586Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:44:10.1247744Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:44:10.1374861Z PASSED [ 99%]
2022-05-18T04:44:10.2008054Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_word_language_model_RNN_RELU WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:44:10.2727378Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:44:10.2794327Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:44:10.2934738Z PASSED [ 99%]
2022-05-18T04:44:10.3566844Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_word_language_model_RNN_TANH WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:44:10.4287242Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:44:10.4353270Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:44:10.4489724Z PASSED [ 99%]
2022-05-18T04:44:10.5175451Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_zeros_ones_with_tensor_input PASSED [100%]/opt/conda/lib/python3.7/site-packages/coverage/control.py:793: CoverageWarning: No data was collected. (no-data-collected)
2022-05-18T04:44:10.5176008Z   self._warn("No data was collected.", slug="no-data-collected")
2022-05-18T04:44:11.2418363Z 
2022-05-18T04:44:11.2431198Z 
2022-05-18T04:44:11.2431995Z =============================== warnings summary ===============================
2022-05-18T04:44:11.2433016Z ../.local/lib/python3.7/site-packages/torchvision/transforms/functional_pil.py:207
2022-05-18T04:44:11.2433911Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/transforms/functional_pil.py:207: DeprecationWarning: BILINEAR is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.BILINEAR instead.
2022-05-18T04:44:11.2436308Z     def resize(img, size, interpolation=Image.BILINEAR):
2022-05-18T04:44:11.2436553Z 
2022-05-18T04:44:11.2437225Z ../.local/lib/python3.7/site-packages/torchvision/transforms/functional_pil.py:280
2022-05-18T04:44:11.2438109Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/transforms/functional_pil.py:280: DeprecationWarning: BICUBIC is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.BICUBIC instead.
2022-05-18T04:44:11.2439019Z     def perspective(img, perspective_coeffs, interpolation=Image.BICUBIC, fill=None):
2022-05-18T04:44:11.2439382Z 
2022-05-18T04:44:11.2439558Z test/onnx/test_pytorch_onnx_onnxruntime.py: 58 warnings
2022-05-18T04:44:11.2440597Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/utils.py:1522: UserWarning: No names were found for specified dynamic axes of provided input.Automatically generated names will be applied to each dynamic axes of input x
2022-05-18T04:44:11.2441175Z     key
2022-05-18T04:44:11.2441269Z 
2022-05-18T04:44:11.2444238Z test/onnx/test_pytorch_onnx_onnxruntime.py: 12 warnings
2022-05-18T04:44:11.2445421Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/utils.py:1522: UserWarning: No names were found for specified dynamic axes of provided input.Automatically generated names will be applied to each dynamic axes of input input_1
2022-05-18T04:44:11.2446195Z     key
2022-05-18T04:44:11.2446353Z 
2022-05-18T04:44:11.2446676Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_arange_dynamic
2022-05-18T04:44:11.2447340Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_if_transpose
2022-05-18T04:44:11.2447941Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_if_view
2022-05-18T04:44:11.2448733Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_slice_dynamic
2022-05-18T04:44:11.2449377Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_slice_dynamic_to_end
2022-05-18T04:44:11.2450183Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/utils.py:1522: UserWarning: No names were found for specified dynamic axes of provided input.Automatically generated names will be applied to each dynamic axes of input output_1
2022-05-18T04:44:11.2450546Z     key
2022-05-18T04:44:11.2450642Z 
2022-05-18T04:44:11.2450822Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_arange_out
2022-05-18T04:44:11.2451265Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_arange_with_floats_out
2022-05-18T04:44:11.2507325Z   /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:426: UserWarning: The number of elements in the out tensor of shape [1] is 1 which does not match the computed number of elements 9. Note that this may occur as a result of rounding error. The out tensor will be resized to a tensor of shape (9,). (Triggered internally at  /var/lib/jenkins/workspace/aten/src/ATen/native/RangeFactories.cpp:187.)
2022-05-18T04:44:11.2508176Z     return callable(*args, **kwargs)
2022-05-18T04:44:11.2508296Z 
2022-05-18T04:44:11.2508485Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_arange_out
2022-05-18T04:44:11.2509446Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2709: UserWarning: The number of elements in the out tensor of shape [1] is 1 which does not match the computed number of elements 9. Note that this may occur as a result of rounding error. The out tensor will be resized to a tensor of shape (9,). (Triggered internally at  /var/lib/jenkins/workspace/aten/src/ATen/native/RangeFactories.cpp:187.)
2022-05-18T04:44:11.2510113Z     return torch.arange(end, out=out_t)
2022-05-18T04:44:11.2510265Z 
2022-05-18T04:44:11.2510498Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_arange_out
2022-05-18T04:44:11.2511242Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2708: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:44:11.2511958Z     out_t = torch.tensor([1], dtype=torch.float)
2022-05-18T04:44:11.2512127Z 
2022-05-18T04:44:11.2512357Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_arange_start_out
2022-05-18T04:44:11.2513773Z   /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:426: UserWarning: The number of elements in the out tensor of shape [1] is 1 which does not match the computed number of elements 7. Note that this may occur as a result of rounding error. The out tensor will be resized to a tensor of shape (7,). (Triggered internally at  /var/lib/jenkins/workspace/aten/src/ATen/native/RangeFactories.cpp:187.)
2022-05-18T04:44:11.2514461Z     return callable(*args, **kwargs)
2022-05-18T04:44:11.2514611Z 
2022-05-18T04:44:11.2558531Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_arange_start_out
2022-05-18T04:44:11.2559899Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2719: UserWarning: The number of elements in the out tensor of shape [1] is 1 which does not match the computed number of elements 7. Note that this may occur as a result of rounding error. The out tensor will be resized to a tensor of shape (7,). (Triggered internally at  /var/lib/jenkins/workspace/aten/src/ATen/native/RangeFactories.cpp:187.)
2022-05-18T04:44:11.2560556Z     return torch.arange(start.size(0), end, out=out_t)
2022-05-18T04:44:11.2560704Z 
2022-05-18T04:44:11.2560990Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_arange_start_out
2022-05-18T04:44:11.2561620Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2718: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:44:11.2562164Z     out_t = torch.tensor([1], dtype=torch.float)
2022-05-18T04:44:11.2562306Z 
2022-05-18T04:44:11.2562480Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_arange_with_floats_out
2022-05-18T04:44:11.2563125Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2610: UserWarning: The number of elements in the out tensor of shape [1] is 1 which does not match the computed number of elements 9. Note that this may occur as a result of rounding error. The out tensor will be resized to a tensor of shape (9,). (Triggered internally at  /var/lib/jenkins/workspace/aten/src/ATen/native/RangeFactories.cpp:187.)
2022-05-18T04:44:11.2563680Z     return torch.arange(end, out=out_t)
2022-05-18T04:44:11.2563813Z 
2022-05-18T04:44:11.2563984Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_arange_with_floats_out
2022-05-18T04:44:11.2564607Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2609: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:44:11.2565149Z     out_t = torch.tensor([1], dtype=torch.float)
2022-05-18T04:44:11.2565274Z 
2022-05-18T04:44:11.2565445Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_arange_with_floats_out
2022-05-18T04:44:11.2566402Z   /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:426: UserWarning: The number of elements in the out tensor of shape [1] is 1 which does not match the computed number of elements 5. Note that this may occur as a result of rounding error. The out tensor will be resized to a tensor of shape (5,). (Triggered internally at  /var/lib/jenkins/workspace/aten/src/ATen/native/RangeFactories.cpp:187.)
2022-05-18T04:44:11.2566964Z     return callable(*args, **kwargs)
2022-05-18T04:44:11.2567091Z 
2022-05-18T04:44:11.2567265Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_arange_with_floats_out
2022-05-18T04:44:11.2567920Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2618: UserWarning: The number of elements in the out tensor of shape [1] is 1 which does not match the computed number of elements 5. Note that this may occur as a result of rounding error. The out tensor will be resized to a tensor of shape (5,). (Triggered internally at  /var/lib/jenkins/workspace/aten/src/ATen/native/RangeFactories.cpp:187.)
2022-05-18T04:44:11.2568535Z     return torch.arange(start.size(0), end, 1.5, out=out_t)
2022-05-18T04:44:11.2568684Z 
2022-05-18T04:44:11.2568857Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_arange_with_floats_out
2022-05-18T04:44:11.2569477Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2617: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:44:11.2570014Z     out_t = torch.tensor([1], dtype=torch.float)
2022-05-18T04:44:11.2570152Z 
2022-05-18T04:44:11.2570323Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_arithmetic_prim_bool
2022-05-18T04:44:11.2571153Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2217: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:44:11.2571615Z     if z:
2022-05-18T04:44:11.2571713Z 
2022-05-18T04:44:11.2571870Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_baddbmm
2022-05-18T04:44:11.2572475Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:7625: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:44:11.2573028Z     input, batch1, batch2, alpha=torch.tensor(5), beta=3.5
2022-05-18T04:44:11.2573163Z 
2022-05-18T04:44:11.2573325Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_batched_nms
2022-05-18T04:44:11.2573677Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_multi_scale_roi_align
2022-05-18T04:44:11.2574012Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_nms
2022-05-18T04:44:11.2574324Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_roi_align
2022-05-18T04:44:11.2576343Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_roi_align_aligned
2022-05-18T04:44:11.2577368Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/symbolic_opset9.py:778: UserWarning: This model contains a squeeze operation on dimension 1. If the model is intended to be used with dynamic input shapes, please use opset version 11 to export the model.
2022-05-18T04:44:11.2577873Z     + "intended to be used with dynamic input shapes, please use opset version 11 to export the model."
2022-05-18T04:44:11.2578067Z 
2022-05-18T04:44:11.2578252Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_batchnorm1d_norunningstats
2022-05-18T04:44:11.2578618Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_batchnorm2d_norunningstats
2022-05-18T04:44:11.2579324Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/symbolic_helper.py:1139: UserWarning: ONNX export mode is set to inference mode, but operator batch_norm is set to training  mode. The operators will be exported in training , as specified by the functional operator.
2022-05-18T04:44:11.2579778Z     + ", as specified by the functional operator."
2022-05-18T04:44:11.2579924Z 
2022-05-18T04:44:11.2580104Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_batchnorm1d_norunningstats
2022-05-18T04:44:11.2580558Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_batchnorm2d_norunningstats
2022-05-18T04:44:11.2580920Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_batchnorm_training
2022-05-18T04:44:11.2584850Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_batchnorm_training_mode_fix_layer
2022-05-18T04:44:11.2585543Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_conv_bn
2022-05-18T04:44:11.2586134Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_groupnorm
2022-05-18T04:44:11.2586772Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_groupnorm_noaffine
2022-05-18T04:44:11.2587252Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_multiple_conv_bn
2022-05-18T04:44:11.2589069Z   /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:2352: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:44:11.2589904Z     if size_prods == 1:
2022-05-18T04:44:11.2590236Z 
2022-05-18T04:44:11.2590436Z test/onnx/test_pytorch_onnx_onnxruntime.py: 11 warnings
2022-05-18T04:44:11.2592272Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/utils.py:438: UserWarning: It is recommended that constant folding be turned off ('do_constant_folding=False') when exporting the model in training-amenable mode, i.e. with 'training=TrainingMode.TRAIN' or 'training=TrainingMode.PRESERVE' (when model is in training mode). Otherwise, some learnable model parameters may not translate correctly in the exported ONNX model because constant folding mutates model parameters. Please consider turning off constant folding or setting the training=TrainingMode.EVAL.
2022-05-18T04:44:11.2593751Z     "It is recommended that constant folding be turned off ('do_constant_folding=False') "
2022-05-18T04:44:11.2594046Z 
2022-05-18T04:44:11.2594278Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_binary_cross_entropy_with_logits
2022-05-18T04:44:11.2595339Z   /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:3096: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:44:11.2596124Z     if not (target.size() == input.size()):
2022-05-18T04:44:11.2596332Z 
2022-05-18T04:44:11.2596559Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_bitshift
2022-05-18T04:44:11.2597496Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:3936: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:44:11.2598331Z     input >> torch.tensor([1, 2]),
2022-05-18T04:44:11.2598524Z 
2022-05-18T04:44:11.2598795Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_bitshift_uint8
2022-05-18T04:44:11.2599757Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:3952: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:44:11.2600595Z     input2 >> torch.tensor([1, 2], dtype=torch.uint8),
2022-05-18T04:44:11.2600825Z 
2022-05-18T04:44:11.2601088Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_clip_boxes_to_image
2022-05-18T04:44:11.2602298Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/utils.py:1522: UserWarning: No names were found for specified dynamic axes of provided input.Automatically generated names will be applied to each dynamic axes of input size
2022-05-18T04:44:11.2602985Z     key
2022-05-18T04:44:11.2603161Z 
2022-05-18T04:44:11.2603472Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_clip_boxes_to_image
2022-05-18T04:44:11.2603857Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_faster_rcnn
2022-05-18T04:44:11.2604669Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_mask_rcnn
2022-05-18T04:44:11.2605002Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_roi_heads
2022-05-18T04:44:11.2605314Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_rpn
2022-05-18T04:44:11.2606215Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/ops/boxes.py:116: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:44:11.2606820Z     boxes_x = torch.max(boxes_x, torch.tensor(0, dtype=boxes.dtype, device=boxes.device))
2022-05-18T04:44:11.2607004Z 
2022-05-18T04:44:11.2607173Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_clip_boxes_to_image
2022-05-18T04:44:11.2607519Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_faster_rcnn
2022-05-18T04:44:11.2607841Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_mask_rcnn
2022-05-18T04:44:11.2608170Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_roi_heads
2022-05-18T04:44:11.2608497Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_rpn
2022-05-18T04:44:11.2609346Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/ops/boxes.py:117: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:44:11.2609932Z     boxes_x = torch.min(boxes_x, torch.tensor(width, dtype=boxes.dtype, device=boxes.device))
2022-05-18T04:44:11.2610120Z 
2022-05-18T04:44:11.2610287Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_clip_boxes_to_image
2022-05-18T04:44:11.2610631Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_faster_rcnn
2022-05-18T04:44:11.2610962Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_mask_rcnn
2022-05-18T04:44:11.2611279Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_roi_heads
2022-05-18T04:44:11.2611609Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_rpn
2022-05-18T04:44:11.2612314Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/ops/boxes.py:117: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor).
2022-05-18T04:44:11.2612836Z     boxes_x = torch.min(boxes_x, torch.tensor(width, dtype=boxes.dtype, device=boxes.device))
2022-05-18T04:44:11.2613020Z 
2022-05-18T04:44:11.2613172Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_clip_boxes_to_image
2022-05-18T04:44:11.2613516Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_faster_rcnn
2022-05-18T04:44:11.2613851Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_mask_rcnn
2022-05-18T04:44:11.2614179Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_roi_heads
2022-05-18T04:44:11.2614803Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_rpn
2022-05-18T04:44:11.2615675Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/ops/boxes.py:118: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:44:11.2616270Z     boxes_y = torch.max(boxes_y, torch.tensor(0, dtype=boxes.dtype, device=boxes.device))
2022-05-18T04:44:11.2616453Z 
2022-05-18T04:44:11.2616624Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_clip_boxes_to_image
2022-05-18T04:44:11.2616956Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_faster_rcnn
2022-05-18T04:44:11.2617288Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_mask_rcnn
2022-05-18T04:44:11.2617621Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_roi_heads
2022-05-18T04:44:11.2617943Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_rpn
2022-05-18T04:44:11.2618852Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/ops/boxes.py:119: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:44:11.2619454Z     boxes_y = torch.min(boxes_y, torch.tensor(height, dtype=boxes.dtype, device=boxes.device))
2022-05-18T04:44:11.2619647Z 
2022-05-18T04:44:11.2619815Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_clip_boxes_to_image
2022-05-18T04:44:11.2620159Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_faster_rcnn
2022-05-18T04:44:11.2620479Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_mask_rcnn
2022-05-18T04:44:11.2620809Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_roi_heads
2022-05-18T04:44:11.2621135Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_rpn
2022-05-18T04:44:11.2621838Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/ops/boxes.py:119: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor).
2022-05-18T04:44:11.2622348Z     boxes_y = torch.min(boxes_y, torch.tensor(height, dtype=boxes.dtype, device=boxes.device))
2022-05-18T04:44:11.2622534Z 
2022-05-18T04:44:11.2622653Z test/onnx/test_pytorch_onnx_onnxruntime.py: 13 warnings
2022-05-18T04:44:11.2623165Z   /opt/conda/lib/python3.7/site-packages/torch/jit/_trace.py:745: UserWarning: The input to trace is already a ScriptModule, tracing it is a no-op. Returning the object as is.
2022-05-18T04:44:11.2623675Z     "The input to trace is already a ScriptModule, tracing it is a no-op. Returning the object as is."
2022-05-18T04:44:11.2623869Z 
2022-05-18T04:44:11.2624020Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_derive_index
2022-05-18T04:44:11.2624567Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:9340: TracerWarning: Using len to get tensor shape might cause the trace to be incorrect. Recommended usage would be tensor.shape[0]. Passing a tensor of different shape might lead to errors or silently give incorrect results.
2022-05-18T04:44:11.2625084Z     for idx in range(len(x) - 1, -len(x), -2):
2022-05-18T04:44:11.2625217Z 
2022-05-18T04:44:11.2625378Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_derive_index
2022-05-18T04:44:11.2625920Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:9351: TracerWarning: Using len to get tensor shape might cause the trace to be incorrect. Recommended usage would be tensor.shape[0]. Passing a tensor of different shape might lead to errors or silently give incorrect results.
2022-05-18T04:44:11.2626460Z     for idx in range(-len(x), len(x) - 1, 2):
2022-05-18T04:44:11.2626591Z 
2022-05-18T04:44:11.2626752Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_derive_index
2022-05-18T04:44:11.2627294Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:9362: TracerWarning: Using len to get tensor shape might cause the trace to be incorrect. Recommended usage would be tensor.shape[0]. Passing a tensor of different shape might lead to errors or silently give incorrect results.
2022-05-18T04:44:11.2627806Z     for idx in range(len(x) - 1, -len(x), -3):
2022-05-18T04:44:11.2627938Z 
2022-05-18T04:44:11.2628084Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_derive_index
2022-05-18T04:44:11.2628660Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:9372: TracerWarning: Using len to get tensor shape might cause the trace to be incorrect. Recommended usage would be tensor.shape[0]. Passing a tensor of different shape might lead to errors or silently give incorrect results.
2022-05-18T04:44:11.2629164Z     for idx in range(-len(x), len(x) - 1, 3):
2022-05-18T04:44:11.2629295Z 
2022-05-18T04:44:11.2629469Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_derive_index_scripting
2022-05-18T04:44:11.2630009Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:9296: TracerWarning: Using len to get tensor shape might cause the trace to be incorrect. Recommended usage would be tensor.shape[0]. Passing a tensor of different shape might lead to errors or silently give incorrect results.
2022-05-18T04:44:11.2630511Z     for idx in range(len(x) - 1, -len(x), -2):
2022-05-18T04:44:11.2630643Z 
2022-05-18T04:44:11.2630817Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_derive_index_scripting
2022-05-18T04:44:11.2631369Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:9307: TracerWarning: Using len to get tensor shape might cause the trace to be incorrect. Recommended usage would be tensor.shape[0]. Passing a tensor of different shape might lead to errors or silently give incorrect results.
2022-05-18T04:44:11.2631880Z     for idx in range(-len(x), len(x) - 1, 2):
2022-05-18T04:44:11.2632010Z 
2022-05-18T04:44:11.2632169Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_derive_index_scripting
2022-05-18T04:44:11.2632715Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:9318: TracerWarning: Using len to get tensor shape might cause the trace to be incorrect. Recommended usage would be tensor.shape[0]. Passing a tensor of different shape might lead to errors or silently give incorrect results.
2022-05-18T04:44:11.2633224Z     for idx in range(len(x) - 1, -len(x), -3):
2022-05-18T04:44:11.2633357Z 
2022-05-18T04:44:11.2633529Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_derive_index_scripting
2022-05-18T04:44:11.2634071Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:9328: TracerWarning: Using len to get tensor shape might cause the trace to be incorrect. Recommended usage would be tensor.shape[0]. Passing a tensor of different shape might lead to errors or silently give incorrect results.
2022-05-18T04:44:11.2634578Z     for idx in range(-len(x), len(x) - 1, 3):
2022-05-18T04:44:11.2634710Z 
2022-05-18T04:44:11.2634870Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_dist_normal
2022-05-18T04:44:11.2635219Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_dist_normal_correctness
2022-05-18T04:44:11.2636039Z   /opt/conda/lib/python3.7/site-packages/torch/distributions/distribution.py:54: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:44:11.2636547Z     if not valid.all():
2022-05-18T04:44:11.2636661Z 
2022-05-18T04:44:11.2636825Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_dist_uniform
2022-05-18T04:44:11.2637182Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_dist_uniform_correctness
2022-05-18T04:44:11.2637982Z   /opt/conda/lib/python3.7/site-packages/torch/distributions/uniform.py:55: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:44:11.2638510Z     if self._validate_args and not torch.lt(self.low, self.high).all():
2022-05-18T04:44:11.2638676Z 
2022-05-18T04:44:11.2638841Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_dropout_training
2022-05-18T04:44:11.2639200Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_dropout_training_zero
2022-05-18T04:44:11.2639903Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/symbolic_opset12.py:57: UserWarning: Dropout is a training op and should not be exported in inference mode. For inference, make sure to call eval() on the model and to export it with param training=False.
2022-05-18T04:44:11.2640364Z     "Dropout is a training op and should not be exported in inference mode. "
2022-05-18T04:44:11.2640535Z 
2022-05-18T04:44:11.2640700Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_dynamic_arange_out
2022-05-18T04:44:11.2641623Z   /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:426: UserWarning: The number of elements in the out tensor of shape [1] is 1 which does not match the computed number of elements 8. Note that this may occur as a result of rounding error. The out tensor will be resized to a tensor of shape (8,). (Triggered internally at  /var/lib/jenkins/workspace/aten/src/ATen/native/RangeFactories.cpp:187.)
2022-05-18T04:44:11.2642193Z     return callable(*args, **kwargs)
2022-05-18T04:44:11.2642322Z 
2022-05-18T04:44:11.2642488Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_dynamic_arange_out
2022-05-18T04:44:11.2643120Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2561: UserWarning: The number of elements in the out tensor of shape [1] is 1 which does not match the computed number of elements 8. Note that this may occur as a result of rounding error. The out tensor will be resized to a tensor of shape (8,). (Triggered internally at  /var/lib/jenkins/workspace/aten/src/ATen/native/RangeFactories.cpp:187.)
2022-05-18T04:44:11.2643672Z     return torch.arange(end, out=out_t)
2022-05-18T04:44:11.2643804Z 
2022-05-18T04:44:11.2643973Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_dynamic_arange_out
2022-05-18T04:44:11.2644600Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2560: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:44:11.2645140Z     out_t = torch.tensor([1], dtype=torch.int64)
2022-05-18T04:44:11.2645282Z 
2022-05-18T04:44:11.2645443Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_dynamic_arange_start_out
2022-05-18T04:44:11.2646363Z   /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:426: UserWarning: The number of elements in the out tensor of shape [1] is 1 which does not match the computed number of elements 6. Note that this may occur as a result of rounding error. The out tensor will be resized to a tensor of shape (6,). (Triggered internally at  /var/lib/jenkins/workspace/aten/src/ATen/native/RangeFactories.cpp:187.)
2022-05-18T04:44:11.2646965Z     return callable(*args, **kwargs)
2022-05-18T04:44:11.2647090Z 
2022-05-18T04:44:11.2647266Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_dynamic_arange_start_out
2022-05-18T04:44:11.2647914Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2571: UserWarning: The number of elements in the out tensor of shape [1] is 1 which does not match the computed number of elements 6. Note that this may occur as a result of rounding error. The out tensor will be resized to a tensor of shape (6,). (Triggered internally at  /var/lib/jenkins/workspace/aten/src/ATen/native/RangeFactories.cpp:187.)
2022-05-18T04:44:11.2648486Z     return torch.arange(start.size(0), end, out=out_t)
2022-05-18T04:44:11.2648619Z 
2022-05-18T04:44:11.2648792Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_dynamic_arange_start_out
2022-05-18T04:44:11.2649460Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2570: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:44:11.2650002Z     out_t = torch.tensor([1], dtype=torch.int64)
2022-05-18T04:44:11.2650142Z 
2022-05-18T04:44:11.2650306Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_dynamic_chunk
2022-05-18T04:44:11.2651095Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:6019: TracerWarning: Converting a tensor to a Python integer might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:44:11.2651608Z     return torch.chunk(x, x.size(0), dim=self.dim)
2022-05-18T04:44:11.2651749Z 
2022-05-18T04:44:11.2651922Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_dynamic_expand_as
2022-05-18T04:44:11.2652541Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:4515: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:44:11.2653066Z     x[:, x.size(0) :] = torch.tensor([1, 2, 3])
2022-05-18T04:44:11.2653194Z 
2022-05-18T04:44:11.2653359Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_dynamic_repeat_interleave
2022-05-18T04:44:11.2653987Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:5482: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:44:11.2654740Z     repeats = torch.tensor(4)
2022-05-18T04:44:11.2654865Z 
2022-05-18T04:44:11.2655043Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_dynamic_repeat_interleave
2022-05-18T04:44:11.2655661Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:5497: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:44:11.2656154Z     repeats = torch.tensor(4)
2022-05-18T04:44:11.2656340Z 
2022-05-18T04:44:11.2656517Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_dynamic_repeat_interleave
2022-05-18T04:44:11.2657133Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:5512: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:44:11.2657636Z     repeats = torch.tensor([4])
2022-05-18T04:44:11.2657761Z 
2022-05-18T04:44:11.2657882Z test/onnx/test_pytorch_onnx_onnxruntime.py: 129 warnings
2022-05-18T04:44:11.2658682Z   /opt/conda/lib/python3.7/site-packages/torch/nn/utils/rnn.py:250: TracerWarning: torch.as_tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:44:11.2659236Z     lengths = torch.as_tensor(lengths, dtype=torch.int64)
2022-05-18T04:44:11.2659386Z 
2022-05-18T04:44:11.2659505Z test/onnx/test_pytorch_onnx_onnxruntime.py: 65 warnings
2022-05-18T04:44:11.2660297Z   /opt/conda/lib/python3.7/site-packages/torch/nn/modules/rnn.py:436: TracerWarning: Converting a tensor to a Python integer might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:44:11.2660790Z     max_batch_size = int(batch_sizes[0])
2022-05-18T04:44:11.2660905Z 
2022-05-18T04:44:11.2661026Z test/onnx/test_pytorch_onnx_onnxruntime.py: 208 warnings
2022-05-18T04:44:11.2661771Z   /opt/conda/lib/python3.7/site-packages/torch/nn/modules/rnn.py:204: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:44:11.2662314Z     if self.input_size != input.size(-1):
2022-05-18T04:44:11.2662448Z 
2022-05-18T04:44:11.2662570Z test/onnx/test_pytorch_onnx_onnxruntime.py: 129 warnings
2022-05-18T04:44:11.2663291Z   /opt/conda/lib/python3.7/site-packages/torch/nn/modules/rnn.py:211: TracerWarning: Converting a tensor to a Python integer might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:44:11.2663776Z     mini_batch = int(batch_sizes[0])
2022-05-18T04:44:11.2663901Z 
2022-05-18T04:44:11.2664021Z test/onnx/test_pytorch_onnx_onnxruntime.py: 208 warnings
2022-05-18T04:44:11.2664750Z   /opt/conda/lib/python3.7/site-packages/torch/nn/modules/rnn.py:225: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:44:11.2665222Z     if hx.size() != expected_hidden_size:
2022-05-18T04:44:11.2665353Z 
2022-05-18T04:44:11.2665473Z test/onnx/test_pytorch_onnx_onnxruntime.py: 129 warnings
2022-05-18T04:44:11.2666210Z   /opt/conda/lib/python3.7/site-packages/torch/nn/utils/rnn.py:330: TracerWarning: Converting a tensor to a Python integer might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:44:11.2666756Z     sequence.data, sequence.batch_sizes, batch_first, padding_value, max_seq_length)
2022-05-18T04:44:11.2666939Z 
2022-05-18T04:44:11.2667058Z test/onnx/test_pytorch_onnx_onnxruntime.py: 49 warnings
2022-05-18T04:44:11.2667884Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/symbolic_opset9.py:3097: UserWarning: Exporting a model to ONNX with a batch_size other than 1, with a variable length with RNN_RELU can cause an error when running the ONNX model with a different batch size. Make sure to save the model with a batch size of 1, or define the initial states (h0/c0) as inputs of the model. 
2022-05-18T04:44:11.2668435Z     + "or define the initial states (h0/c0) as inputs of the model. "
2022-05-18T04:44:11.2668592Z 
2022-05-18T04:44:11.2668713Z test/onnx/test_pytorch_onnx_onnxruntime.py: 48 warnings
2022-05-18T04:44:11.2669314Z   /opt/conda/lib/python3.7/site-packages/torch/nn/modules/rnn.py:65: UserWarning: dropout option adds dropout after all but last recurrent layer, so non-zero dropout expects num_layers greater than 1, but got dropout=0.2 and num_layers=1
2022-05-18T04:44:11.2669721Z     "num_layers={}".format(dropout, num_layers))
2022-05-18T04:44:11.2669859Z 
2022-05-18T04:44:11.2669981Z test/onnx/test_pytorch_onnx_onnxruntime.py: 51 warnings
2022-05-18T04:44:11.2670812Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/symbolic_opset9.py:3097: UserWarning: Exporting a model to ONNX with a batch_size other than 1, with a variable length with RNN_TANH can cause an error when running the ONNX model with a different batch size. Make sure to save the model with a batch size of 1, or define the initial states (h0/c0) as inputs of the model. 
2022-05-18T04:44:11.2671353Z     + "or define the initial states (h0/c0) as inputs of the model. "
2022-05-18T04:44:11.2671509Z 
2022-05-18T04:44:11.2671671Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_embedding
2022-05-18T04:44:11.2672001Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_embedding_module
2022-05-18T04:44:11.2672784Z   /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:2130: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:44:11.2673339Z     assert padding_idx < weight.size(0), "Padding_idx must be within num_embeddings"
2022-05-18T04:44:11.2673521Z 
2022-05-18T04:44:11.2673679Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_embedding
2022-05-18T04:44:11.2674318Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/symbolic_opset9.py:538: UserWarning: Warning: ONNX export of embedding with padding_idx >= 0 for training mode. ONNX does not support not updating the embedding vector at padding_idx during training.
2022-05-18T04:44:11.2674771Z     "Warning: ONNX export of embedding with padding_idx >= 0 "
2022-05-18T04:44:11.2674928Z 
2022-05-18T04:44:11.2675117Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_embedding_bag_1d_per_sample_weights
2022-05-18T04:44:11.2675503Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_embedding_bag_2d_per_sample_weights
2022-05-18T04:44:11.2676315Z   /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:2269: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:44:11.2676851Z     if per_sample_weights is not None and input.size() != per_sample_weights.size():
2022-05-18T04:44:11.2677030Z 
2022-05-18T04:44:11.2677216Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_embedding_bag_2d_per_sample_weights
2022-05-18T04:44:11.2677859Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/utils.py:1522: UserWarning: No names were found for specified dynamic axes of provided input.Automatically generated names will be applied to each dynamic axes of input w
2022-05-18T04:44:11.2678268Z     key
2022-05-18T04:44:11.2678361Z 
2022-05-18T04:44:11.2678500Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_eye
2022-05-18T04:44:11.2679281Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:6400: TracerWarning: Converting a tensor to a Python integer might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:44:11.2679760Z     torch.eye(x.size()[1], 3),
2022-05-18T04:44:11.2679879Z 
2022-05-18T04:44:11.2680028Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_eye
2022-05-18T04:44:11.2680791Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:6402: TracerWarning: Converting a tensor to a Python integer might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:44:11.2681302Z     torch.eye(x.size()[1], 2, dtype=torch.long),
2022-05-18T04:44:11.2681441Z 
2022-05-18T04:44:11.2681593Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_eye
2022-05-18T04:44:11.2682434Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:6403: TracerWarning: Converting a tensor to a Python integer might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:44:11.2682919Z     torch.eye(x.shape[0]),
2022-05-18T04:44:11.2683037Z 
2022-05-18T04:44:11.2683175Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_eye
2022-05-18T04:44:11.2683952Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:6404: TracerWarning: Converting a tensor to a Python integer might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:44:11.2684470Z     torch.eye(x.shape[0], dtype=torch.float64),
2022-05-18T04:44:11.2684609Z 
2022-05-18T04:44:11.2684790Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_fake_quantize_activation
2022-05-18T04:44:11.2685128Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_qat_conv2d
2022-05-18T04:44:11.2685472Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_qat_conv2d_relu
2022-05-18T04:44:11.2685827Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_qat_conv2d_relu_fused
2022-05-18T04:44:11.2686184Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_qat_linear_per_channel
2022-05-18T04:44:11.2686517Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_qat_maxpool2d
2022-05-18T04:44:11.2686852Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_qat_relu
2022-05-18T04:44:11.2687496Z   /opt/conda/lib/python3.7/site-packages/torch/ao/quantization/observer.py:178: UserWarning: Please use quant_min and quant_max to specify the range for observers.                     reduce_range will be deprecated in a future release of PyTorch.
2022-05-18T04:44:11.2687949Z     reduce_range will be deprecated in a future release of PyTorch."
2022-05-18T04:44:11.2688114Z 
2022-05-18T04:44:11.2688276Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_fake_quantize_activation
2022-05-18T04:44:11.2688820Z   /opt/conda/lib/python3.7/site-packages/torch/ao/quantization/utils.py:281: UserWarning: must run observer before calling calculate_qparams. Returning default values.
2022-05-18T04:44:11.2689198Z     "must run observer before calling calculate_qparams. " +
2022-05-18T04:44:11.2689353Z 
2022-05-18T04:44:11.2689529Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_fake_quantize_activation
2022-05-18T04:44:11.2690365Z   /opt/conda/lib/python3.7/site-packages/torch/ao/quantization/fake_quantize.py:159: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:44:11.2690868Z     if self.observer_enabled[0] == 1:
2022-05-18T04:44:11.2691002Z 
2022-05-18T04:44:11.2691177Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_fake_quantize_activation
2022-05-18T04:44:11.2691985Z   /opt/conda/lib/python3.7/site-packages/torch/ao/quantization/fake_quantize.py:169: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:44:11.2692483Z     if self.fake_quant_enabled[0] == 1:
2022-05-18T04:44:11.2692598Z 
2022-05-18T04:44:11.2692758Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_faster_rcnn
2022-05-18T04:44:11.2693485Z   /opt/conda/lib/python3.7/site-packages/torch/functional.py:478: UserWarning: torch.meshgrid: in an upcoming release, it will be required to pass the indexing argument. (Triggered internally at  /var/lib/jenkins/workspace/aten/src/ATen/native/TensorShape.cpp:2904.)
2022-05-18T04:44:11.2694039Z     return _VF.meshgrid(tensors, **kwargs)  # type: ignore[attr-defined]
2022-05-18T04:44:11.2694206Z 
2022-05-18T04:44:11.2694458Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_faster_rcnn
2022-05-18T04:44:11.2694921Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_mask_rcnn
2022-05-18T04:44:11.2695265Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_transform_images
2022-05-18T04:44:11.2696169Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/detection/transform.py:126: TracerWarning: torch.as_tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:44:11.2696764Z     mean = torch.as_tensor(self.image_mean, dtype=dtype, device=device)
2022-05-18T04:44:11.2696929Z 
2022-05-18T04:44:11.2697088Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_faster_rcnn
2022-05-18T04:44:11.2697409Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_mask_rcnn
2022-05-18T04:44:11.2697751Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_transform_images
2022-05-18T04:44:11.2698646Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/detection/transform.py:127: TracerWarning: torch.as_tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:44:11.2699240Z     std = torch.as_tensor(self.image_std, dtype=dtype, device=device)
2022-05-18T04:44:11.2699402Z 
2022-05-18T04:44:11.2699549Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_faster_rcnn
2022-05-18T04:44:11.2699917Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_interpolate_adaptive_pooling_error
2022-05-18T04:44:11.2700282Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_mask_rcnn
2022-05-18T04:44:11.2700622Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_resize_images
2022-05-18T04:44:11.2700953Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_transform_images
2022-05-18T04:44:11.2701869Z   /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:3846: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:44:11.2702372Z     for i in range(dim)
2022-05-18T04:44:11.2702485Z 
2022-05-18T04:44:11.2702648Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_faster_rcnn
2022-05-18T04:44:11.2702970Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_mask_rcnn
2022-05-18T04:44:11.2703306Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_resize_images
2022-05-18T04:44:11.2703650Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_transform_images
2022-05-18T04:44:11.2704351Z   /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:3846: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor).
2022-05-18T04:44:11.2704765Z     for i in range(dim)
2022-05-18T04:44:11.2704919Z 
2022-05-18T04:44:11.2705080Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_faster_rcnn
2022-05-18T04:44:11.2705411Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_mask_rcnn
2022-05-18T04:44:11.2705743Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_roi_heads
2022-05-18T04:44:11.2706058Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_rpn
2022-05-18T04:44:11.2707046Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/detection/anchor_utils.py:148: UserWarning: __floordiv__ is deprecated, and its behavior will change in a future version of pytorch. It currently rounds toward 0 (like the 'trunc' function NOT 'floor'). This results in incorrect rounding for negative values. To keep the current behavior, use torch.div(a, b, rounding_mode='trunc'), or for actual floor division, use torch.div(a, b, rounding_mode='floor').
2022-05-18T04:44:11.2707728Z     torch.tensor(image_size[1] // g[1], dtype=torch.int64, device=device)] for g in grid_sizes]
2022-05-18T04:44:11.2707908Z 
2022-05-18T04:44:11.2708068Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_faster_rcnn
2022-05-18T04:44:11.2708388Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_mask_rcnn
2022-05-18T04:44:11.2708718Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_roi_heads
2022-05-18T04:44:11.2709040Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_rpn
2022-05-18T04:44:11.2709918Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/detection/anchor_utils.py:148: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:44:11.2710538Z     torch.tensor(image_size[1] // g[1], dtype=torch.int64, device=device)] for g in grid_sizes]
2022-05-18T04:44:11.2710702Z 
2022-05-18T04:44:11.2710862Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_faster_rcnn
2022-05-18T04:44:11.2711198Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_mask_rcnn
2022-05-18T04:44:11.2711530Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_roi_heads
2022-05-18T04:44:11.2711839Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_rpn
2022-05-18T04:44:11.2712567Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/detection/anchor_utils.py:148: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor).
2022-05-18T04:44:11.2713146Z     torch.tensor(image_size[1] // g[1], dtype=torch.int64, device=device)] for g in grid_sizes]
2022-05-18T04:44:11.2713326Z 
2022-05-18T04:44:11.2713487Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_faster_rcnn
2022-05-18T04:44:11.2713820Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_mask_rcnn
2022-05-18T04:44:11.2714704Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/detection/anchor_utils.py:61: TracerWarning: torch.as_tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:44:11.2715287Z     scales = torch.as_tensor(scales, dtype=dtype, device=device)
2022-05-18T04:44:11.2715444Z 
2022-05-18T04:44:11.2715605Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_faster_rcnn
2022-05-18T04:44:11.2715970Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_mask_rcnn
2022-05-18T04:44:11.2716837Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/detection/anchor_utils.py:62: TracerWarning: torch.as_tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:44:11.2717441Z     aspect_ratios = torch.as_tensor(aspect_ratios, dtype=dtype, device=device)
2022-05-18T04:44:11.2717613Z 
2022-05-18T04:44:11.2717773Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_faster_rcnn
2022-05-18T04:44:11.2718113Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_mask_rcnn
2022-05-18T04:44:11.2718441Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_roi_heads
2022-05-18T04:44:11.2718754Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_rpn
2022-05-18T04:44:11.2719569Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/detection/anchor_utils.py:136: TracerWarning: Converting a tensor to a Python integer might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:44:11.2720085Z     key = str(grid_sizes) + str(strides)
2022-05-18T04:44:11.2720211Z 
2022-05-18T04:44:11.2720370Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_faster_rcnn
2022-05-18T04:44:11.2720692Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_mask_rcnn
2022-05-18T04:44:11.2721025Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_roi_heads
2022-05-18T04:44:11.2721348Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_rpn
2022-05-18T04:44:11.2722116Z   /opt/conda/lib/python3.7/site-packages/torch/_tensor_str.py:424: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:44:11.2722606Z     if self.numel() == 0 and not self.is_sparse:
2022-05-18T04:44:11.2722742Z 
2022-05-18T04:44:11.2722901Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_faster_rcnn
2022-05-18T04:44:11.2723235Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_mask_rcnn
2022-05-18T04:44:11.2723565Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_roi_heads
2022-05-18T04:44:11.2723917Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_rpn
2022-05-18T04:44:11.2724692Z   /opt/conda/lib/python3.7/site-packages/torch/_tensor_str.py:237: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:44:11.2725167Z     if self.numel() == 0:
2022-05-18T04:44:11.2725282Z 
2022-05-18T04:44:11.2725441Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_faster_rcnn
2022-05-18T04:44:11.2725759Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_mask_rcnn
2022-05-18T04:44:11.2726090Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_roi_heads
2022-05-18T04:44:11.2726415Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_rpn
2022-05-18T04:44:11.2727212Z   /opt/conda/lib/python3.7/site-packages/torch/_tensor_str.py:270: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:44:11.2727753Z     formatter = _Formatter(get_summarized_data(self) if summarize else self)
2022-05-18T04:44:11.2727923Z 
2022-05-18T04:44:11.2728081Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_faster_rcnn
2022-05-18T04:44:11.2728421Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_mask_rcnn
2022-05-18T04:44:11.2728752Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_roi_heads
2022-05-18T04:44:11.2729066Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_rpn
2022-05-18T04:44:11.2729785Z   /opt/conda/lib/python3.7/site-packages/torch/_tensor_str.py:98: TracerWarning: Iterating over a tensor might cause the trace to be incorrect. Passing a tensor of different shape won't change the number of iterations executed (and might lead to errors or silently give incorrect results).
2022-05-18T04:44:11.2730236Z     for value in tensor_view:
2022-05-18T04:44:11.2730356Z 
2022-05-18T04:44:11.2730516Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_faster_rcnn
2022-05-18T04:44:11.2730837Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_mask_rcnn
2022-05-18T04:44:11.2731167Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_roi_heads
2022-05-18T04:44:11.2731497Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_rpn
2022-05-18T04:44:11.2732241Z   /opt/conda/lib/python3.7/site-packages/torch/_tensor.py:662: TracerWarning: Converting a tensor to a Python number might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:44:11.2732743Z     return self.item().__format__(format_spec)
2022-05-18T04:44:11.2732882Z 
2022-05-18T04:44:11.2733044Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_faster_rcnn
2022-05-18T04:44:11.2733377Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_mask_rcnn
2022-05-18T04:44:11.2733694Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_roi_heads
2022-05-18T04:44:11.2734015Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_rpn
2022-05-18T04:44:11.2734983Z   /opt/conda/lib/python3.7/site-packages/torch/_tensor_str.py:176: TracerWarning: Converting a tensor to a Python number might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:44:11.2735555Z     return formatter1.format(self.item())
2022-05-18T04:44:11.2735694Z 
2022-05-18T04:44:11.2735840Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_faster_rcnn
2022-05-18T04:44:11.2736181Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_mask_rcnn
2022-05-18T04:44:11.2736513Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_roi_heads
2022-05-18T04:44:11.2736841Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_rpn
2022-05-18T04:44:11.2737808Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/detection/rpn.py:85: UserWarning: __floordiv__ is deprecated, and its behavior will change in a future version of pytorch. It currently rounds toward 0 (like the 'trunc' function NOT 'floor'). This results in incorrect rounding for negative values. To keep the current behavior, use torch.div(a, b, rounding_mode='trunc'), or for actual floor division, use torch.div(a, b, rounding_mode='floor').
2022-05-18T04:44:11.2738394Z     A = Ax4 // 4
2022-05-18T04:44:11.2738498Z 
2022-05-18T04:44:11.2738662Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_faster_rcnn
2022-05-18T04:44:11.2739045Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_mask_rcnn
2022-05-18T04:44:11.2739364Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_roi_heads
2022-05-18T04:44:11.2739690Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_rpn
2022-05-18T04:44:11.2740661Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/detection/rpn.py:86: UserWarning: __floordiv__ is deprecated, and its behavior will change in a future version of pytorch. It currently rounds toward 0 (like the 'trunc' function NOT 'floor'). This results in incorrect rounding for negative values. To keep the current behavior, use torch.div(a, b, rounding_mode='trunc'), or for actual floor division, use torch.div(a, b, rounding_mode='floor').
2022-05-18T04:44:11.2741253Z     C = AxC // A
2022-05-18T04:44:11.2741358Z 
2022-05-18T04:44:11.2741517Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_faster_rcnn
2022-05-18T04:44:11.2741841Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_mask_rcnn
2022-05-18T04:44:11.2742175Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_roi_heads
2022-05-18T04:44:11.2742501Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_rpn
2022-05-18T04:44:11.2743315Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/detection/_utils.py:177: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:44:11.2743798Z     if box_sum > 0:
2022-05-18T04:44:11.2743910Z 
2022-05-18T04:44:11.2744069Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_faster_rcnn
2022-05-18T04:44:11.2744403Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_mask_rcnn
2022-05-18T04:44:11.2744733Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_roi_heads
2022-05-18T04:44:11.2745043Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_rpn
2022-05-18T04:44:11.2745915Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/detection/_utils.py:218: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:44:11.2746622Z     pred_boxes1 = pred_ctr_x - torch.tensor(0.5, dtype=pred_ctr_x.dtype, device=pred_w.device) * pred_w
2022-05-18T04:44:11.2746853Z 
2022-05-18T04:44:11.2747015Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_faster_rcnn
2022-05-18T04:44:11.2747337Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_mask_rcnn
2022-05-18T04:44:11.2747670Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_roi_heads
2022-05-18T04:44:11.2748001Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_rpn
2022-05-18T04:44:11.2748861Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/detection/_utils.py:219: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:44:11.2749560Z     pred_boxes2 = pred_ctr_y - torch.tensor(0.5, dtype=pred_ctr_y.dtype, device=pred_h.device) * pred_h
2022-05-18T04:44:11.2749743Z 
2022-05-18T04:44:11.2749904Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_faster_rcnn
2022-05-18T04:44:11.2750240Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_mask_rcnn
2022-05-18T04:44:11.2750612Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_roi_heads
2022-05-18T04:44:11.2750930Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_rpn
2022-05-18T04:44:11.2751806Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/detection/_utils.py:220: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:44:11.2752425Z     pred_boxes3 = pred_ctr_x + torch.tensor(0.5, dtype=pred_ctr_x.dtype, device=pred_w.device) * pred_w
2022-05-18T04:44:11.2752622Z 
2022-05-18T04:44:11.2752783Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_faster_rcnn
2022-05-18T04:44:11.2753119Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_mask_rcnn
2022-05-18T04:44:11.2753440Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_roi_heads
2022-05-18T04:44:11.2753765Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_rpn
2022-05-18T04:44:11.2754636Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/detection/_utils.py:221: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:44:11.2755257Z     pred_boxes4 = pred_ctr_y + torch.tensor(0.5, dtype=pred_ctr_y.dtype, device=pred_h.device) * pred_h
2022-05-18T04:44:11.2755453Z 
2022-05-18T04:44:11.2755604Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_faster_rcnn
2022-05-18T04:44:11.2755943Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_mask_rcnn
2022-05-18T04:44:11.2756275Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_roi_heads
2022-05-18T04:44:11.2756601Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_rpn
2022-05-18T04:44:11.2757399Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/detection/_utils.py:182: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:44:11.2757893Z     if box_sum > 0:
2022-05-18T04:44:11.2758004Z 
2022-05-18T04:44:11.2758203Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_faster_rcnn
2022-05-18T04:44:11.2758535Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_mask_rcnn
2022-05-18T04:44:11.2758855Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_roi_heads
2022-05-18T04:44:11.2759184Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_rpn
2022-05-18T04:44:11.2760049Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/detection/rpn.py:24: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:44:11.2760635Z     (torch.tensor([orig_pre_nms_top_n], dtype=num_anchors.dtype),
2022-05-18T04:44:11.2760797Z 
2022-05-18T04:44:11.2760959Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_faster_rcnn
2022-05-18T04:44:11.2761286Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_mask_rcnn
2022-05-18T04:44:11.2761618Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_roi_heads
2022-05-18T04:44:11.2761996Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_rpn
2022-05-18T04:44:11.2762791Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/detection/rpn.py:225: TracerWarning: Converting a tensor to a Python integer might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:44:11.2763323Z     _, top_n_idx = ob.topk(pre_nms_top_n, dim=1)
2022-05-18T04:44:11.2763462Z 
2022-05-18T04:44:11.2763622Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_faster_rcnn
2022-05-18T04:44:11.2763959Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_mask_rcnn
2022-05-18T04:44:11.2764276Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_roi_heads
2022-05-18T04:44:11.2764597Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_rpn
2022-05-18T04:44:11.2765363Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/detection/rpn.py:259: TracerWarning: Iterating over a tensor might cause the trace to be incorrect. Passing a tensor of different shape won't change the number of iterations executed (and might lead to errors or silently give incorrect results).
2022-05-18T04:44:11.2765925Z     for boxes, scores, lvl, img_shape in zip(proposals, objectness_prob, levels, image_shapes):
2022-05-18T04:44:11.2766113Z 
2022-05-18T04:44:11.2766272Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_faster_rcnn
2022-05-18T04:44:11.2766592Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_mask_rcnn
2022-05-18T04:44:11.2767412Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/ops/poolers.py:178: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:44:11.2767915Z     max_x = max(shape[0], max_x)
2022-05-18T04:44:11.2768035Z 
2022-05-18T04:44:11.2768195Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_faster_rcnn
2022-05-18T04:44:11.2768512Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_mask_rcnn
2022-05-18T04:44:11.2769307Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/ops/poolers.py:179: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:44:11.2769849Z     max_y = max(shape[1], max_y)
2022-05-18T04:44:11.2769970Z 
2022-05-18T04:44:11.2770130Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_faster_rcnn
2022-05-18T04:44:11.2770451Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_mask_rcnn
2022-05-18T04:44:11.2770794Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_multi_scale_roi_align
2022-05-18T04:44:11.2771612Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/ops/poolers.py:163: TracerWarning: Converting a tensor to a Python float might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:44:11.2772117Z     approx_scale = float(s1) / float(s2)
2022-05-18T04:44:11.2772248Z 
2022-05-18T04:44:11.2772401Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_faster_rcnn
2022-05-18T04:44:11.2772738Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_mask_rcnn
2022-05-18T04:44:11.2773126Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_multi_scale_roi_align
2022-05-18T04:44:11.2774005Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/ops/poolers.py:164: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:44:11.2774777Z     scale = 2 ** float(torch.tensor(approx_scale).log2().round())
2022-05-18T04:44:11.2774918Z 
2022-05-18T04:44:11.2775080Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_faster_rcnn
2022-05-18T04:44:11.2775417Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_mask_rcnn
2022-05-18T04:44:11.2775761Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_multi_scale_roi_align
2022-05-18T04:44:11.2776582Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/ops/poolers.py:164: TracerWarning: Converting a tensor to a Python float might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:44:11.2777102Z     scale = 2 ** float(torch.tensor(approx_scale).log2().round())
2022-05-18T04:44:11.2777256Z 
2022-05-18T04:44:11.2777418Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_faster_rcnn
2022-05-18T04:44:11.2777754Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_mask_rcnn
2022-05-18T04:44:11.2778101Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_multi_scale_roi_align
2022-05-18T04:44:11.2778957Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/ops/poolers.py:185: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:44:11.2779619Z     lvl_min = -torch.log2(torch.tensor(scales[0], dtype=torch.float32)).item()
2022-05-18T04:44:11.2779793Z 
2022-05-18T04:44:11.2779954Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_faster_rcnn
2022-05-18T04:44:11.2780291Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_mask_rcnn
2022-05-18T04:44:11.2780621Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_multi_scale_roi_align
2022-05-18T04:44:11.2781435Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/ops/poolers.py:185: TracerWarning: Converting a tensor to a Python number might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:44:11.2782142Z     lvl_min = -torch.log2(torch.tensor(scales[0], dtype=torch.float32)).item()
2022-05-18T04:44:11.2782313Z 
2022-05-18T04:44:11.2782475Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_faster_rcnn
2022-05-18T04:44:11.2782816Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_mask_rcnn
2022-05-18T04:44:11.2783147Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_multi_scale_roi_align
2022-05-18T04:44:11.2784021Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/ops/poolers.py:186: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:44:11.2784685Z     lvl_max = -torch.log2(torch.tensor(scales[-1], dtype=torch.float32)).item()
2022-05-18T04:44:11.2784912Z 
2022-05-18T04:44:11.2785078Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_faster_rcnn
2022-05-18T04:44:11.2785402Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_mask_rcnn
2022-05-18T04:44:11.2785762Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_multi_scale_roi_align
2022-05-18T04:44:11.2786579Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/ops/poolers.py:186: TracerWarning: Converting a tensor to a Python number might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:44:11.2787201Z     lvl_max = -torch.log2(torch.tensor(scales[-1], dtype=torch.float32)).item()
2022-05-18T04:44:11.2787380Z 
2022-05-18T04:44:11.2787527Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_faster_rcnn
2022-05-18T04:44:11.2787863Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_mask_rcnn
2022-05-18T04:44:11.2788213Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_multi_scale_roi_align
2022-05-18T04:44:11.2788553Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_roi_heads
2022-05-18T04:44:11.2789399Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/ops/poolers.py:79: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:44:11.2790031Z     target_lvls = torch.floor(self.lvl0 + torch.log2(s / self.s0) + torch.tensor(self.eps, dtype=s.dtype))
2022-05-18T04:44:11.2790228Z 
2022-05-18T04:44:11.2790392Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_faster_rcnn
2022-05-18T04:44:11.2790729Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_mask_rcnn
2022-05-18T04:44:11.2791075Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_multi_scale_roi_align
2022-05-18T04:44:11.2791409Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_roi_heads
2022-05-18T04:44:11.2792157Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/ops/poolers.py:239: TracerWarning: Using len to get tensor shape might cause the trace to be incorrect. Recommended usage would be tensor.shape[0]. Passing a tensor of different shape might lead to errors or silently give incorrect results.
2022-05-18T04:44:11.2792690Z     num_rois = len(rois)
2022-05-18T04:44:11.2792809Z 
2022-05-18T04:44:11.2792969Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_faster_rcnn
2022-05-18T04:44:11.2793295Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_mask_rcnn
2022-05-18T04:44:11.2793642Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_multi_scale_roi_align
2022-05-18T04:44:11.2793983Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_roi_align
2022-05-18T04:44:11.2794309Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_roi_align_aligned
2022-05-18T04:44:11.2794646Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_roi_heads
2022-05-18T04:44:11.2794976Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_roi_pool
2022-05-18T04:44:11.2795778Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/ops/_utils.py:33: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:44:11.2796442Z     assert boxes.size(1) == 5, 'The boxes tensor shape is not correct as Tensor[K, 5]'
2022-05-18T04:44:11.2796619Z 
2022-05-18T04:44:11.2796779Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_faster_rcnn
2022-05-18T04:44:11.2797111Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_mask_rcnn
2022-05-18T04:44:11.2797443Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_roi_heads
2022-05-18T04:44:11.2798313Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/detection/transform.py:275: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:44:11.2798878Z     for s, s_orig in zip(new_size, original_size)
2022-05-18T04:44:11.2799017Z 
2022-05-18T04:44:11.2799179Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_faster_rcnn
2022-05-18T04:44:11.2799517Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_mask_rcnn
2022-05-18T04:44:11.2799847Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_roi_heads
2022-05-18T04:44:11.2800571Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/detection/transform.py:275: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor).
2022-05-18T04:44:11.2801054Z     for s, s_orig in zip(new_size, original_size)
2022-05-18T04:44:11.2801192Z 
2022-05-18T04:44:11.2801355Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_faster_rcnn
2022-05-18T04:44:11.2801704Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_index_put_slice_index
2022-05-18T04:44:11.2802036Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_mask_rcnn
2022-05-18T04:44:11.2802367Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_roi_heads
2022-05-18T04:44:11.2802690Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_rpn
2022-05-18T04:44:11.2803026Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_tensor_index_advanced_indexing
2022-05-18T04:44:11.2803418Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_tensor_index_advanced_indexing_consecutive
2022-05-18T04:44:11.2803814Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_tensor_index_advanced_indexing_ellipsis
2022-05-18T04:44:11.2804731Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/symbolic_opset9.py:4017: UserWarning: Exporting aten::index operator of advanced indexing in opset 15 is achieved by combination of multiple ONNX operators, including Reshape, Transpose, Concat, and Gather. If indices include negative values, the exported graph will produce incorrect results.
2022-05-18T04:44:11.2805356Z     + "If indices include negative values, the exported graph will produce incorrect results."
2022-05-18T04:44:11.2805544Z 
2022-05-18T04:44:11.2805692Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_faster_rcnn
2022-05-18T04:44:11.2806026Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_mask_rcnn
2022-05-18T04:44:11.2806359Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_roi_heads
2022-05-18T04:44:11.2806682Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_rpn
2022-05-18T04:44:11.2807605Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/symbolic_opset9.py:757: UserWarning: This model contains a squeeze operation on dimension 1 on an input with unknown shape. Note that if the size of dimension 1 of the input is not 1, the ONNX model will return an error. Opset version 11 supports squeezing on non-singleton dimensions, it is recommended to export this model using opset version 11 or higher.
2022-05-18T04:44:11.2808152Z     + "version 11 or higher."
2022-05-18T04:44:11.2808271Z 
2022-05-18T04:44:11.2808432Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_faster_rcnn
2022-05-18T04:44:11.2808767Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_mask_rcnn
2022-05-18T04:44:11.2809394Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/utils.py:1522: UserWarning: No names were found for specified dynamic axes of provided input.Automatically generated names will be applied to each dynamic axes of input images_tensors
2022-05-18T04:44:11.2809770Z     key
2022-05-18T04:44:11.2809864Z 
2022-05-18T04:44:11.2810031Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_faster_rcnn
2022-05-18T04:44:11.2810670Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/utils.py:1522: UserWarning: No names were found for specified dynamic axes of provided input.Automatically generated names will be applied to each dynamic axes of input outputs
2022-05-18T04:44:11.2811034Z     key
2022-05-18T04:44:11.2811129Z 
2022-05-18T04:44:11.2811289Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_faster_rcnn
2022-05-18T04:44:11.2811628Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_mask_rcnn
2022-05-18T04:44:11.2812209Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:784: DeprecationWarning: BILINEAR is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.BILINEAR instead.
2022-05-18T04:44:11.2812619Z     image = Image.open(path).convert("RGB").resize(size, Image.BILINEAR)
2022-05-18T04:44:11.2812789Z 
2022-05-18T04:44:11.2812950Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_floor_div
2022-05-18T04:44:11.2813683Z   /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:426: UserWarning: floor_divide is deprecated, and will be removed in a future version of pytorch. It currently rounds toward 0 (like the 'trunc' function NOT 'floor'). This results in incorrect rounding for negative values.
2022-05-18T04:44:11.2814726Z   To keep the current behavior, use torch.div(a, b, rounding_mode='trunc'), or for actual floor division, use torch.div(a, b, rounding_mode='floor'). (Triggered internally at  /var/lib/jenkins/workspace/aten/src/ATen/native/BinaryOps.cpp:599.)
2022-05-18T04:44:11.2815143Z     return callable(*args, **kwargs)
2022-05-18T04:44:11.2815258Z 
2022-05-18T04:44:11.2815418Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_floor_div
2022-05-18T04:44:11.2816375Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2269: UserWarning: __floordiv__ is deprecated, and its behavior will change in a future version of pytorch. It currently rounds toward 0 (like the 'trunc' function NOT 'floor'). This results in incorrect rounding for negative values. To keep the current behavior, use torch.div(a, b, rounding_mode='trunc'), or for actual floor division, use torch.div(a, b, rounding_mode='floor').
2022-05-18T04:44:11.2817012Z     x // 3,
2022-05-18T04:44:11.2817114Z 
2022-05-18T04:44:11.2817274Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_floor_div
2022-05-18T04:44:11.2818208Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2270: UserWarning: __floordiv__ is deprecated, and its behavior will change in a future version of pytorch. It currently rounds toward 0 (like the 'trunc' function NOT 'floor'). This results in incorrect rounding for negative values. To keep the current behavior, use torch.div(a, b, rounding_mode='trunc'), or for actual floor division, use torch.div(a, b, rounding_mode='floor').
2022-05-18T04:44:11.2818761Z     x // 2.0,
2022-05-18T04:44:11.2818862Z 
2022-05-18T04:44:11.2819022Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_floor_div
2022-05-18T04:44:11.2819999Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2271: UserWarning: __floordiv__ is deprecated, and its behavior will change in a future version of pytorch. It currently rounds toward 0 (like the 'trunc' function NOT 'floor'). This results in incorrect rounding for negative values. To keep the current behavior, use torch.div(a, b, rounding_mode='trunc'), or for actual floor division, use torch.div(a, b, rounding_mode='floor').
2022-05-18T04:44:11.2820572Z     x.to(dtype=torch.float64) // 3,
2022-05-18T04:44:11.2820703Z 
2022-05-18T04:44:11.2820862Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_floor_div
2022-05-18T04:44:11.2821790Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2272: UserWarning: __floordiv__ is deprecated, and its behavior will change in a future version of pytorch. It currently rounds toward 0 (like the 'trunc' function NOT 'floor'). This results in incorrect rounding for negative values. To keep the current behavior, use torch.div(a, b, rounding_mode='trunc'), or for actual floor division, use torch.div(a, b, rounding_mode='floor').
2022-05-18T04:44:11.2822374Z     x.to(dtype=torch.float64) // 2.0,
2022-05-18T04:44:11.2822505Z 
2022-05-18T04:44:11.2822665Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_floor_div
2022-05-18T04:44:11.2823595Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2273: UserWarning: __floordiv__ is deprecated, and its behavior will change in a future version of pytorch. It currently rounds toward 0 (like the 'trunc' function NOT 'floor'). This results in incorrect rounding for negative values. To keep the current behavior, use torch.div(a, b, rounding_mode='trunc'), or for actual floor division, use torch.div(a, b, rounding_mode='floor').
2022-05-18T04:44:11.2824179Z     x.to(dtype=torch.int64) // 3,
2022-05-18T04:44:11.2824304Z 
2022-05-18T04:44:11.2824449Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_floor_div
2022-05-18T04:44:11.2825404Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2274: UserWarning: __floordiv__ is deprecated, and its behavior will change in a future version of pytorch. It currently rounds toward 0 (like the 'trunc' function NOT 'floor'). This results in incorrect rounding for negative values. To keep the current behavior, use torch.div(a, b, rounding_mode='trunc'), or for actual floor division, use torch.div(a, b, rounding_mode='floor').
2022-05-18T04:44:11.2825972Z     x.to(dtype=torch.int64) // 2.0,
2022-05-18T04:44:11.2826096Z 
2022-05-18T04:44:11.2826254Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_floor_div
2022-05-18T04:44:11.2827197Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2275: UserWarning: __floordiv__ is deprecated, and its behavior will change in a future version of pytorch. It currently rounds toward 0 (like the 'trunc' function NOT 'floor'). This results in incorrect rounding for negative values. To keep the current behavior, use torch.div(a, b, rounding_mode='trunc'), or for actual floor division, use torch.div(a, b, rounding_mode='floor').
2022-05-18T04:44:11.2827793Z     x // (y + 1.0).to(dtype=torch.int64),
2022-05-18T04:44:11.2827922Z 
2022-05-18T04:44:11.2828080Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_floor_div
2022-05-18T04:44:11.2829026Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2276: UserWarning: __floordiv__ is deprecated, and its behavior will change in a future version of pytorch. It currently rounds toward 0 (like the 'trunc' function NOT 'floor'). This results in incorrect rounding for negative values. To keep the current behavior, use torch.div(a, b, rounding_mode='trunc'), or for actual floor division, use torch.div(a, b, rounding_mode='floor').
2022-05-18T04:44:11.2829576Z     x // y,
2022-05-18T04:44:11.2829677Z 
2022-05-18T04:44:11.2829836Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_floor_div
2022-05-18T04:44:11.2830790Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2277: UserWarning: __floordiv__ is deprecated, and its behavior will change in a future version of pytorch. It currently rounds toward 0 (like the 'trunc' function NOT 'floor'). This results in incorrect rounding for negative values. To keep the current behavior, use torch.div(a, b, rounding_mode='trunc'), or for actual floor division, use torch.div(a, b, rounding_mode='floor').
2022-05-18T04:44:11.2831401Z     x.to(dtype=torch.float64) // y.to(dtype=torch.int64),
2022-05-18T04:44:11.2831552Z 
2022-05-18T04:44:11.2831710Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_floor_div
2022-05-18T04:44:11.2832649Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2278: UserWarning: __floordiv__ is deprecated, and its behavior will change in a future version of pytorch. It currently rounds toward 0 (like the 'trunc' function NOT 'floor'). This results in incorrect rounding for negative values. To keep the current behavior, use torch.div(a, b, rounding_mode='trunc'), or for actual floor division, use torch.div(a, b, rounding_mode='floor').
2022-05-18T04:44:11.2833266Z     x.to(dtype=torch.float64) // y.to(dtype=torch.float64),
2022-05-18T04:44:11.2833418Z 
2022-05-18T04:44:11.2833576Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_floor_div
2022-05-18T04:44:11.2834512Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2279: UserWarning: __floordiv__ is deprecated, and its behavior will change in a future version of pytorch. It currently rounds toward 0 (like the 'trunc' function NOT 'floor'). This results in incorrect rounding for negative values. To keep the current behavior, use torch.div(a, b, rounding_mode='trunc'), or for actual floor division, use torch.div(a, b, rounding_mode='floor').
2022-05-18T04:44:11.2835116Z     x.to(dtype=torch.int64) // y.to(dtype=torch.int64),
2022-05-18T04:44:11.2835264Z 
2022-05-18T04:44:11.2835424Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_floor_div
2022-05-18T04:44:11.2836358Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2280: UserWarning: __floordiv__ is deprecated, and its behavior will change in a future version of pytorch. It currently rounds toward 0 (like the 'trunc' function NOT 'floor'). This results in incorrect rounding for negative values. To keep the current behavior, use torch.div(a, b, rounding_mode='trunc'), or for actual floor division, use torch.div(a, b, rounding_mode='floor').
2022-05-18T04:44:11.2836929Z     x.to(dtype=torch.int64) // y,
2022-05-18T04:44:11.2837053Z 
2022-05-18T04:44:11.2837198Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_floordiv
2022-05-18T04:44:11.2838171Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2301: UserWarning: __floordiv__ is deprecated, and its behavior will change in a future version of pytorch. It currently rounds toward 0 (like the 'trunc' function NOT 'floor'). This results in incorrect rounding for negative values. To keep the current behavior, use torch.div(a, b, rounding_mode='trunc'), or for actual floor division, use torch.div(a, b, rounding_mode='floor').
2022-05-18T04:44:11.2838763Z     return x.new_zeros(x.size(2) // x.size(1))
2022-05-18T04:44:11.2838897Z 
2022-05-18T04:44:11.2839056Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_groupnorm
2022-05-18T04:44:11.2839409Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_groupnorm_noaffine
2022-05-18T04:44:11.2840331Z   /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:2464: UserWarning: __floordiv__ is deprecated, and its behavior will change in a future version of pytorch. It currently rounds toward 0 (like the 'trunc' function NOT 'floor'). This results in incorrect rounding for negative values. To keep the current behavior, use torch.div(a, b, rounding_mode='trunc'), or for actual floor division, use torch.div(a, b, rounding_mode='floor').
2022-05-18T04:44:11.2841016Z     _verify_batch_size([input.size(0) * input.size(1) // num_groups, num_groups] + list(input.size()[2:]))
2022-05-18T04:44:11.2841208Z 
2022-05-18T04:44:11.2841329Z test/onnx/test_pytorch_onnx_onnxruntime.py: 52 warnings
2022-05-18T04:44:11.2842120Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/symbolic_opset9.py:3097: UserWarning: Exporting a model to ONNX with a batch_size other than 1, with a variable length with GRU can cause an error when running the ONNX model with a different batch size. Make sure to save the model with a batch size of 1, or define the initial states (h0/c0) as inputs of the model. 
2022-05-18T04:44:11.2842664Z     + "or define the initial states (h0/c0) as inputs of the model. "
2022-05-18T04:44:11.2842824Z 
2022-05-18T04:44:11.2842931Z test/onnx/test_pytorch_onnx_onnxruntime.py: 32 warnings
2022-05-18T04:44:11.2843678Z   /opt/conda/lib/python3.7/site-packages/torch/nn/modules/rnn.py:918: TracerWarning: Converting a tensor to a Python integer might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:44:11.2844166Z     max_batch_size = int(max_batch_size)
2022-05-18T04:44:11.2844296Z 
2022-05-18T04:44:11.2844476Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_hann_window_default_values
2022-05-18T04:44:11.2845283Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:11822: TracerWarning: Converting a tensor to a Python integer might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:44:11.2845811Z     return torch.add(x, F.relu(torch.hann_window(self.window_length)))
2022-05-18T04:44:11.2845978Z 
2022-05-18T04:44:11.2846153Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_hann_window_not_periodic
2022-05-18T04:44:11.2846953Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:11800: TracerWarning: Converting a tensor to a Python integer might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:44:11.2847473Z     self.window_length, periodic=False, dtype=torch.float
2022-05-18T04:44:11.2847627Z 
2022-05-18T04:44:11.2847785Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_hann_window_periodic
2022-05-18T04:44:11.2848579Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:11778: TracerWarning: Converting a tensor to a Python integer might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:44:11.2849145Z     self.window_length, periodic=True, dtype=torch.float
2022-05-18T04:44:11.2849299Z 
2022-05-18T04:44:11.2849475Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_heatmaps_to_keypoints
2022-05-18T04:44:11.2850460Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/detection/roi_heads.py:269: UserWarning: __floordiv__ is deprecated, and its behavior will change in a future version of pytorch. It currently rounds toward 0 (like the 'trunc' function NOT 'floor'). This results in incorrect rounding for negative values. To keep the current behavior, use torch.div(a, b, rounding_mode='trunc'), or for actual floor division, use torch.div(a, b, rounding_mode='floor').
2022-05-18T04:44:11.2851095Z     y_int = (pos - x_int) // w
2022-05-18T04:44:11.2851199Z 
2022-05-18T04:44:11.2851356Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_if_fold
2022-05-18T04:44:11.2852170Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:7859: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:44:11.2852645Z     if y.numel() > 1:
2022-05-18T04:44:11.2852756Z 
2022-05-18T04:44:11.2852909Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_if_fold
2022-05-18T04:44:11.2853678Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:7928: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:44:11.2854171Z     if y.numel() != 0 and y.dim() == 2:
2022-05-18T04:44:11.2854299Z 
2022-05-18T04:44:11.2854655Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_if_fold
2022-05-18T04:44:11.2855451Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:7940: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:44:11.2855927Z     if x.numel() == y.numel():
2022-05-18T04:44:11.2856036Z 
2022-05-18T04:44:11.2856192Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_if_fold
2022-05-18T04:44:11.2857039Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:7952: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:44:11.2857531Z     if x.numel() != y.numel():
2022-05-18T04:44:11.2857651Z 
2022-05-18T04:44:11.2857826Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_index_add_dim_size_differ
2022-05-18T04:44:11.2858174Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_index_add_dynamic_axes
2022-05-18T04:44:11.2858522Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_index_add_if
2022-05-18T04:44:11.2858865Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_index_add_in_loop
2022-05-18T04:44:11.2859210Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_index_add_normal
2022-05-18T04:44:11.2859806Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/symbolic_opset9.py:4597: UserWarning: Warning: ONNX export does not support duplicated values in 'index' field, this will cause the ONNX model to be incorrect.
2022-05-18T04:44:11.2860411Z     "Warning: ONNX export does not support duplicated values in 'index' field, "
2022-05-18T04:44:11.2860588Z 
2022-05-18T04:44:11.2860749Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_index_copy
2022-05-18T04:44:11.2861363Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:3991: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:44:11.2861867Z     index = torch.tensor([2, 0])
2022-05-18T04:44:11.2861991Z 
2022-05-18T04:44:11.2862153Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_index_fill
2022-05-18T04:44:11.2862812Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:3981: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:44:11.2863329Z     index = torch.tensor([2, 0])
2022-05-18T04:44:11.2863451Z 
2022-05-18T04:44:11.2863609Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_index_mask
2022-05-18T04:44:11.2864361Z   /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:426: UserWarning: indexing with dtype torch.uint8 is now deprecated, please use a dtype torch.bool instead. (Triggered internally at  /var/lib/jenkins/workspace/aten/src/ATen/native/IndexingUtils.h:28.)
2022-05-18T04:44:11.2864830Z     return callable(*args, **kwargs)
2022-05-18T04:44:11.2864960Z 
2022-05-18T04:44:11.2865120Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_index_mask
2022-05-18T04:44:11.2865643Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:1111: UserWarning: indexing with dtype torch.uint8 is now deprecated, please use a dtype torch.bool instead. (Triggered internally at  /var/lib/jenkins/workspace/aten/src/ATen/native/IndexingUtils.h:28.)
2022-05-18T04:44:11.2866097Z     return input[torch.tensor([0, 1, 0], dtype=torch.uint8)]
2022-05-18T04:44:11.2866248Z 
2022-05-18T04:44:11.2866406Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_index_mask
2022-05-18T04:44:11.2867014Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:1111: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:44:11.2867564Z     return input[torch.tensor([0, 1, 0], dtype=torch.uint8)]
2022-05-18T04:44:11.2867714Z 
2022-05-18T04:44:11.2867873Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_index_mask
2022-05-18T04:44:11.2868465Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:1118: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:44:11.2869014Z     return input[torch.tensor([0, 1, 0], dtype=torch.bool)]
2022-05-18T04:44:11.2869164Z 
2022-05-18T04:44:11.2869331Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_index_put_ellipsis
2022-05-18T04:44:11.2869948Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2966: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:44:11.2870512Z     x[..., torch.tensor([2, 1, 3]), 2:4] += update
2022-05-18T04:44:11.2870642Z 
2022-05-18T04:44:11.2870793Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_index_put_ellipsis
2022-05-18T04:44:11.2871398Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2975: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:44:11.2871924Z     x[2, ..., torch.tensor([2, 1, 3]), 2:4] += update
2022-05-18T04:44:11.2872057Z 
2022-05-18T04:44:11.2872218Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_index_put_if
2022-05-18T04:44:11.2872549Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_index_put_if_3
2022-05-18T04:44:11.2872920Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_index_put_if_4
2022-05-18T04:44:11.2873261Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_index_put_if_5
2022-05-18T04:44:11.2873612Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_index_put_inplace_ops
2022-05-18T04:44:11.2874254Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/utils.py:1522: UserWarning: No names were found for specified dynamic axes of provided input.Automatically generated names will be applied to each dynamic axes of input random_data
2022-05-18T04:44:11.2874635Z     key
2022-05-18T04:44:11.2874731Z 
2022-05-18T04:44:11.2874892Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_index_put_if
2022-05-18T04:44:11.2875236Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_index_put_if_3
2022-05-18T04:44:11.2875562Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_index_put_if_4
2022-05-18T04:44:11.2875900Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_index_put_if_5
2022-05-18T04:44:11.2876545Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/utils.py:1522: UserWarning: No names were found for specified dynamic axes of provided input.Automatically generated names will be applied to each dynamic axes of input empty_tensor
2022-05-18T04:44:11.2876924Z     key
2022-05-18T04:44:11.2877004Z 
2022-05-18T04:44:11.2877165Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_index_put_if_2
2022-05-18T04:44:11.2877783Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/utils.py:1522: UserWarning: No names were found for specified dynamic axes of provided input.Automatically generated names will be applied to each dynamic axes of input data
2022-05-18T04:44:11.2878156Z     key
2022-05-18T04:44:11.2878251Z 
2022-05-18T04:44:11.2878414Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_index_put_if_2
2022-05-18T04:44:11.2879028Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/utils.py:1522: UserWarning: No names were found for specified dynamic axes of provided input.Automatically generated names will be applied to each dynamic axes of input state
2022-05-18T04:44:11.2879395Z     key
2022-05-18T04:44:11.2879486Z 
2022-05-18T04:44:11.2879653Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_index_put_singular
2022-05-18T04:44:11.2880271Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2848: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:44:11.2880815Z     mask[indices] = torch.tensor(5.5)
2022-05-18T04:44:11.2880945Z 
2022-05-18T04:44:11.2881118Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_index_put_slice_index
2022-05-18T04:44:11.2881739Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2870: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:44:11.2882261Z     x[1:2, 1:3, torch.tensor([1])] += update
2022-05-18T04:44:11.2882389Z 
2022-05-18T04:44:11.2882560Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_index_put_slice_index
2022-05-18T04:44:11.2883210Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2879: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:44:11.2883765Z     x[torch.tensor([0, 2]), torch.tensor([1, 2])] += update
2022-05-18T04:44:11.2883908Z 
2022-05-18T04:44:11.2884078Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_index_put_slice_index
2022-05-18T04:44:11.2884694Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2888: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:44:11.2885214Z     x[torch.tensor([0, 2]), 1:2] += update
2022-05-18T04:44:11.2885324Z 
2022-05-18T04:44:11.2885493Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_index_put_slice_index
2022-05-18T04:44:11.2886105Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2897: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:44:11.2886629Z     x[torch.tensor([0, 2]), 2] += update
2022-05-18T04:44:11.2886755Z 
2022-05-18T04:44:11.2886925Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_index_put_slice_index
2022-05-18T04:44:11.2887543Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2906: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:44:11.2888050Z     x[1:3, torch.tensor([0, 2]), 2] += update
2022-05-18T04:44:11.2888179Z 
2022-05-18T04:44:11.2888366Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_index_select_constant_scaler_index
2022-05-18T04:44:11.2888992Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:4018: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:44:11.2889530Z     return torch.index_select(x, 1, torch.tensor(index))
2022-05-18T04:44:11.2889679Z 
2022-05-18T04:44:11.2889890Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_initializer_sequence
2022-05-18T04:44:11.2890231Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_onnx_proto_checker
2022-05-18T04:44:11.2890597Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_script_custom_class_error
2022-05-18T04:44:11.2891547Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/utils.py:56: UserWarning: You are exporting the model to ONNX while in training mode with 'train' parameter not specified. The model will default to inference mode export. If you wish to export a training amenable ONNX model, specify training=TrainingMode.TRAINING or training=TrainingMode.PRESERVE (to preserve the original model state) in torch.onnx.export().
2022-05-18T04:44:11.2892178Z     "You are exporting the model to ONNX while in training mode with "
2022-05-18T04:44:11.2892343Z 
2022-05-18T04:44:11.2892490Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_inplace_list
2022-05-18T04:44:11.2892848Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_interpolate_no_shape
2022-05-18T04:44:11.2893191Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_list_pass
2022-05-18T04:44:11.2893553Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_set_
2022-05-18T04:44:11.2893884Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_split_size_with_slice
2022-05-18T04:44:11.2894243Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_symbolic_shape_inference
2022-05-18T04:44:11.2895119Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/utils.py:1522: UserWarning: No names were found for specified dynamic axes of provided input.Automatically generated names will be applied to each dynamic axes of input y
2022-05-18T04:44:11.2895491Z     key
2022-05-18T04:44:11.2895572Z 
2022-05-18T04:44:11.2895760Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_instancenorm1d_norunningstats
2022-05-18T04:44:11.2896148Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_instancenorm2d_norunningstats
2022-05-18T04:44:11.2896529Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_instancenorm3d_norunningstats
2022-05-18T04:44:11.2896902Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_instancenorm_eval_mode_train_layer
2022-05-18T04:44:11.2897613Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/symbolic_helper.py:1139: UserWarning: ONNX export mode is set to inference mode, but operator instance_norm is set to training  mode. The operators will be exported in training , as specified by the functional operator.
2022-05-18T04:44:11.2898070Z     + ", as specified by the functional operator."
2022-05-18T04:44:11.2898214Z 
2022-05-18T04:44:11.2898399Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_instancenorm1d_norunningstats
2022-05-18T04:44:11.2898767Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_instancenorm2d_norunningstats
2022-05-18T04:44:11.2899143Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_instancenorm3d_norunningstats
2022-05-18T04:44:11.2899528Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_instancenorm_eval_mode_train_layer
2022-05-18T04:44:11.2899899Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_instancenorm_training
2022-05-18T04:44:11.2900258Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_instancenorm_training_mode_fix_layer
2022-05-18T04:44:11.2901062Z   /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:2397: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:44:11.2901608Z     if size_prods == 1:
2022-05-18T04:44:11.2901722Z 
2022-05-18T04:44:11.2901915Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_interpolate_adaptive_pooling_error
2022-05-18T04:44:11.2902526Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/symbolic_helper.py:432: UserWarning: ONNX export failed on adaptive_avg_pool1d because output size that are not factor of input size not supported
2022-05-18T04:44:11.2902924Z     "ONNX export failed on " + op + " because " + msg + " not supported"
2022-05-18T04:44:11.2903083Z 
2022-05-18T04:44:11.2903244Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_kldiv_loss
2022-05-18T04:44:11.2903577Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_kldiv_loss
2022-05-18T04:44:11.2903897Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_kldiv_loss
2022-05-18T04:44:11.2904228Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_kldiv_loss
2022-05-18T04:44:11.2904562Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_kldiv_loss
2022-05-18T04:44:11.2904892Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_kldiv_loss
2022-05-18T04:44:11.2905701Z   /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:2853: UserWarning: reduction: 'mean' divides the total loss by both the batch size and the support size.'batchmean' divides only by the batch size, and aligns with the KL div math definition.'mean' will be changed to behave the same as 'batchmean' in the next major release.
2022-05-18T04:44:11.2906178Z     warnings.warn(
2022-05-18T04:44:11.2906292Z 
2022-05-18T04:44:11.2906449Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_kldiv_loss
2022-05-18T04:44:11.2907228Z   /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:2854: UserWarning: reduction: 'mean' divides the total loss by both the batch size and the support size.'batchmean' divides only by the batch size, and aligns with the KL div math definition.'mean' will be changed to behave the same as 'batchmean' in the next major release.
2022-05-18T04:44:11.2907853Z     "reduction: 'mean' divides the total loss by both the batch size and the support size."
2022-05-18T04:44:11.2908021Z 
2022-05-18T04:44:11.2908182Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_kldiv_loss
2022-05-18T04:44:11.2908713Z   /opt/conda/lib/python3.7/site-packages/torch/nn/_reduction.py:42: UserWarning: size_average and reduce args will be deprecated, please use reduction='sum' instead.
2022-05-18T04:44:11.2909065Z     warnings.warn(warning.format(ret))
2022-05-18T04:44:11.2909198Z 
2022-05-18T04:44:11.2909355Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_linspace
2022-05-18T04:44:11.2910129Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2587: TracerWarning: Converting a tensor to a Python integer might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:44:11.2910640Z     return torch.linspace(start, end, steps)
2022-05-18T04:44:11.2910781Z 
2022-05-18T04:44:11.2910958Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_linspace_negative_start
2022-05-18T04:44:11.2911757Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2598: TracerWarning: Converting a tensor to a Python integer might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:44:11.2912266Z     return torch.linspace(start, end, steps)
2022-05-18T04:44:11.2912392Z 
2022-05-18T04:44:11.2912554Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_lower_tuple
2022-05-18T04:44:11.2913341Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:9174: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:44:11.2913920Z     if f.size(0) != input1.size(-1):
2022-05-18T04:44:11.2914049Z 
2022-05-18T04:44:11.2914212Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_lower_tuple_3
2022-05-18T04:44:11.2914990Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:9215: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:44:11.2915466Z     if c.shape[0] == e.shape[0]:
2022-05-18T04:44:11.2915590Z 
2022-05-18T04:44:11.2915710Z test/onnx/test_pytorch_onnx_onnxruntime.py: 60 warnings
2022-05-18T04:44:11.2916531Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/symbolic_opset9.py:3097: UserWarning: Exporting a model to ONNX with a batch_size other than 1, with a variable length with LSTM can cause an error when running the ONNX model with a different batch size. Make sure to save the model with a batch size of 1, or define the initial states (h0/c0) as inputs of the model. 
2022-05-18T04:44:11.2917086Z     + "or define the initial states (h0/c0) as inputs of the model. "
2022-05-18T04:44:11.2917230Z 
2022-05-18T04:44:11.2917400Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_lstm_proj_no_hidden
2022-05-18T04:44:11.2917937Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/symbolic_helper.py:432: UserWarning: ONNX export failed on LSTM because LSTMs with projections not supported
2022-05-18T04:44:11.2918320Z     "ONNX export failed on " + op + " because " + msg + " not supported"
2022-05-18T04:44:11.2918482Z 
2022-05-18T04:44:11.2918602Z test/onnx/test_pytorch_onnx_onnxruntime.py: 32 warnings
2022-05-18T04:44:11.2919332Z   /opt/conda/lib/python3.7/site-packages/torch/nn/modules/rnn.py:728: TracerWarning: Converting a tensor to a Python integer might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:44:11.2919826Z     max_batch_size = int(max_batch_size)
2022-05-18T04:44:11.2919956Z 
2022-05-18T04:44:11.2920076Z test/onnx/test_pytorch_onnx_onnxruntime.py: 32 warnings
2022-05-18T04:44:11.2920812Z   /opt/conda/lib/python3.7/site-packages/torch/nn/modules/rnn.py:677: TracerWarning: Converting a tensor to a Python integer might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:44:11.2921287Z     mini_batch = int(batch_sizes[0])
2022-05-18T04:44:11.2921413Z 
2022-05-18T04:44:11.2921571Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_mask_rcnn
2022-05-18T04:44:11.2921915Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_paste_mask_in_image
2022-05-18T04:44:11.2922813Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/detection/roi_heads.py:372: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:44:11.2923434Z     return torch.tensor(M + 2 * padding).to(torch.float32) / torch.tensor(M).to(torch.float32)
2022-05-18T04:44:11.2923618Z 
2022-05-18T04:44:11.2923763Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_mask_rcnn
2022-05-18T04:44:11.2924148Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_paste_mask_in_image
2022-05-18T04:44:11.2924901Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/detection/roi_heads.py:372: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor).
2022-05-18T04:44:11.2925435Z     return torch.tensor(M + 2 * padding).to(torch.float32) / torch.tensor(M).to(torch.float32)
2022-05-18T04:44:11.2925618Z 
2022-05-18T04:44:11.2925760Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_mask_rcnn
2022-05-18T04:44:11.2926386Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/utils.py:1522: UserWarning: No names were found for specified dynamic axes of provided input.Automatically generated names will be applied to each dynamic axes of input boxes
2022-05-18T04:44:11.2926759Z     key
2022-05-18T04:44:11.2926853Z 
2022-05-18T04:44:11.2927014Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_mask_rcnn
2022-05-18T04:44:11.2927660Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/utils.py:1522: UserWarning: No names were found for specified dynamic axes of provided input.Automatically generated names will be applied to each dynamic axes of input labels
2022-05-18T04:44:11.2928041Z     key
2022-05-18T04:44:11.2928135Z 
2022-05-18T04:44:11.2928295Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_mask_rcnn
2022-05-18T04:44:11.2928918Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/utils.py:1522: UserWarning: No names were found for specified dynamic axes of provided input.Automatically generated names will be applied to each dynamic axes of input scores
2022-05-18T04:44:11.2929276Z     key
2022-05-18T04:44:11.2929371Z 
2022-05-18T04:44:11.2929527Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_mask_rcnn
2022-05-18T04:44:11.2930148Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/utils.py:1522: UserWarning: No names were found for specified dynamic axes of provided input.Automatically generated names will be applied to each dynamic axes of input masks
2022-05-18T04:44:11.2930525Z     key
2022-05-18T04:44:11.2930619Z 
2022-05-18T04:44:11.2930767Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_masked_fill
2022-05-18T04:44:11.2931113Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_masked_fill_inplace
2022-05-18T04:44:11.2931941Z   /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:426: UserWarning: masked_fill_ received a mask with dtype torch.uint8, this behavior is now deprecated,please use a mask with dtype torch.bool instead. (Triggered internally at  /var/lib/jenkins/workspace/aten/src/ATen/native/TensorAdvancedIndexing.cpp:1582.)
2022-05-18T04:44:11.2932455Z     return callable(*args, **kwargs)
2022-05-18T04:44:11.2932583Z 
2022-05-18T04:44:11.2932729Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_masked_fill
2022-05-18T04:44:11.2933328Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:6890: UserWarning: masked_fill_ received a mask with dtype torch.uint8, this behavior is now deprecated,please use a mask with dtype torch.bool instead. (Triggered internally at  /var/lib/jenkins/workspace/aten/src/ATen/native/TensorAdvancedIndexing.cpp:1582.)
2022-05-18T04:44:11.2933831Z     return x.masked_fill(mask, 2)
2022-05-18T04:44:11.2933954Z 
2022-05-18T04:44:11.2934114Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_masked_fill
2022-05-18T04:44:11.2934985Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:6889: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:44:11.2935597Z     mask = torch.tensor([[0, 0, 1], [1, 1, 0]], dtype=torch.uint8)
2022-05-18T04:44:11.2935746Z 
2022-05-18T04:44:11.2935912Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_narrow_dynamic
2022-05-18T04:44:11.2936715Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:3972: TracerWarning: Converting a tensor to a Python integer might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:44:11.2937283Z     return torch.narrow(input, 0, 0, input.shape[0] - 1)
2022-05-18T04:44:11.2937434Z 
2022-05-18T04:44:11.2937613Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_nllloss_dynamic_ignore_index
2022-05-18T04:44:11.2938397Z   /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:2638: TracerWarning: Converting a tensor to a Python integer might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:44:11.2939035Z     return torch._C._nn.nll_loss_nd(input, target, weight, _Reduction.get_enum(reduction), ignore_index)
2022-05-18T04:44:11.2939233Z 
2022-05-18T04:44:11.2939392Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_one_hot
2022-05-18T04:44:11.2940176Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:4396: TracerWarning: Converting a tensor to a Python integer might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:44:11.2940697Z     return torch.nn.functional.one_hot(x, num_classes[0])
2022-05-18T04:44:11.2940837Z 
2022-05-18T04:44:11.2940999Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_qat_conv2d
2022-05-18T04:44:11.2941339Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_qat_conv2d_relu
2022-05-18T04:44:11.2941697Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_qat_conv2d_relu_fused
2022-05-18T04:44:11.2942040Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_qat_linear_per_channel
2022-05-18T04:44:11.2942391Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_qat_maxpool2d
2022-05-18T04:44:11.2942728Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_qat_relu
2022-05-18T04:44:11.2943321Z   /opt/conda/lib/python3.7/site-packages/torch/ao/quantization/observer.py:1137: UserWarning: must run observer before calling calculate_qparams.                                    Returning default scale and zero point 
2022-05-18T04:44:11.2943699Z     Returning default scale and zero point "
2022-05-18T04:44:11.2943838Z 
2022-05-18T04:44:11.2943996Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_qat_conv2d
2022-05-18T04:44:11.2944338Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_qat_conv2d_relu
2022-05-18T04:44:11.2944691Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_qat_conv2d_relu_fused
2022-05-18T04:44:11.2945035Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_qat_linear_per_channel
2022-05-18T04:44:11.2945380Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_qat_maxpool2d
2022-05-18T04:44:11.2945714Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_qat_relu
2022-05-18T04:44:11.2946502Z   /opt/conda/lib/python3.7/site-packages/torch/nn/quantized/modules/__init__.py:53: TracerWarning: Converting a tensor to a Python float might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:44:11.2947056Z     return torch.quantize_per_tensor(X, float(self.scale),
2022-05-18T04:44:11.2947212Z 
2022-05-18T04:44:11.2947373Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_qat_conv2d
2022-05-18T04:44:11.2947713Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_qat_conv2d_relu
2022-05-18T04:44:11.2948062Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_qat_conv2d_relu_fused
2022-05-18T04:44:11.2948405Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_qat_linear_per_channel
2022-05-18T04:44:11.2948755Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_qat_maxpool2d
2022-05-18T04:44:11.2949092Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_qat_relu
2022-05-18T04:44:11.2949887Z   /opt/conda/lib/python3.7/site-packages/torch/nn/quantized/modules/__init__.py:54: TracerWarning: Converting a tensor to a Python integer might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:44:11.2950415Z     int(self.zero_point), self.dtype)
2022-05-18T04:44:11.2950551Z 
2022-05-18T04:44:11.2950719Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_repeat_interleave
2022-05-18T04:44:11.2951339Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:5447: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:44:11.2951856Z     repeats = torch.tensor([4])
2022-05-18T04:44:11.2951980Z 
2022-05-18T04:44:11.2952147Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_repeat_interleave
2022-05-18T04:44:11.2952757Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:5455: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:44:11.2953278Z     repeats = torch.tensor([1, 2])
2022-05-18T04:44:11.2953403Z 
2022-05-18T04:44:11.2953572Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_repeat_interleave
2022-05-18T04:44:11.2954185Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:5463: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:44:11.2954706Z     repeats = torch.tensor([1, 2])
2022-05-18T04:44:11.2954821Z 
2022-05-18T04:44:11.2954982Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_resize_images
2022-05-18T04:44:11.2955324Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_roi_heads
2022-05-18T04:44:11.2955651Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_rpn
2022-05-18T04:44:11.2956271Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/utils.py:1522: UserWarning: No names were found for specified dynamic axes of provided input.Automatically generated names will be applied to each dynamic axes of input input1
2022-05-18T04:44:11.2956646Z     key
2022-05-18T04:44:11.2956745Z 
2022-05-18T04:44:11.2956910Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_roi_align_aligned
2022-05-18T04:44:11.2957578Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/ops/_register_onnx_ops.py:28: UserWarning: ONNX export of ROIAlign with aligned=True does not match PyTorch when using malformed boxes, ONNX forces ROIs to be 1x1 or larger.
2022-05-18T04:44:11.2958170Z     warnings.warn("ONNX export of ROIAlign with aligned=True does not match PyTorch when using malformed boxes,"
2022-05-18T04:44:11.2958380Z 
2022-05-18T04:44:11.2958541Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_roi_heads
2022-05-18T04:44:11.2958873Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_rpn
2022-05-18T04:44:11.2959496Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/utils.py:1522: UserWarning: No names were found for specified dynamic axes of provided input.Automatically generated names will be applied to each dynamic axes of input input2
2022-05-18T04:44:11.2959859Z     key
2022-05-18T04:44:11.2959956Z 
2022-05-18T04:44:11.2960110Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_roi_heads
2022-05-18T04:44:11.2960440Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_rpn
2022-05-18T04:44:11.2961107Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/utils.py:1522: UserWarning: No names were found for specified dynamic axes of provided input.Automatically generated names will be applied to each dynamic axes of input input3
2022-05-18T04:44:11.2961465Z     key
2022-05-18T04:44:11.2961560Z 
2022-05-18T04:44:11.2961714Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_roi_heads
2022-05-18T04:44:11.2962040Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_rpn
2022-05-18T04:44:11.2962651Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/utils.py:1522: UserWarning: No names were found for specified dynamic axes of provided input.Automatically generated names will be applied to each dynamic axes of input input4
2022-05-18T04:44:11.2963011Z     key
2022-05-18T04:44:11.2963107Z 
2022-05-18T04:44:11.2963264Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_roi_heads
2022-05-18T04:44:11.2963590Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_rpn
2022-05-18T04:44:11.2964214Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/utils.py:1522: UserWarning: No names were found for specified dynamic axes of provided input.Automatically generated names will be applied to each dynamic axes of input input5
2022-05-18T04:44:11.2964573Z     key
2022-05-18T04:44:11.2964667Z 
2022-05-18T04:44:11.2964827Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_roi_heads
2022-05-18T04:44:11.2965158Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_rpn
2022-05-18T04:44:11.2965780Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/utils.py:1522: UserWarning: No names were found for specified dynamic axes of provided input.Automatically generated names will be applied to each dynamic axes of input input6
2022-05-18T04:44:11.2966143Z     key
2022-05-18T04:44:11.2966238Z 
2022-05-18T04:44:11.2966395Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_roi_heads
2022-05-18T04:44:11.2967135Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:10666: TracerWarning: Iterating over a tensor might cause the trace to be incorrect. Passing a tensor of different shape won't change the number of iterations executed (and might lead to errors or silently give incorrect results).
2022-05-18T04:44:11.2967660Z     (img.shape[-1], img.shape[-2]) for img in images
2022-05-18T04:44:11.2967789Z 
2022-05-18T04:44:11.2967945Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_roi_heads
2022-05-18T04:44:11.2968684Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:10670: TracerWarning: Iterating over a tensor might cause the trace to be incorrect. Passing a tensor of different shape won't change the number of iterations executed (and might lead to errors or silently give incorrect results).
2022-05-18T04:44:11.2969262Z     images, [(i.shape[-1], i.shape[-2]) for i in images]
2022-05-18T04:44:11.2969405Z 
2022-05-18T04:44:11.2969556Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_rpn
2022-05-18T04:44:11.2970274Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:10583: TracerWarning: Iterating over a tensor might cause the trace to be incorrect. Passing a tensor of different shape won't change the number of iterations executed (and might lead to errors or silently give incorrect results).
2022-05-18T04:44:11.2970805Z     images, [(i.shape[-1], i.shape[-2]) for i in images]
2022-05-18T04:44:11.2970946Z 
2022-05-18T04:44:11.2971106Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_scalar_type
2022-05-18T04:44:11.2971722Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:7023: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:44:11.2972237Z     a = torch.tensor([12.0])
2022-05-18T04:44:11.2972357Z 
2022-05-18T04:44:11.2972542Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_sequence_to_bool
2022-05-18T04:44:11.2973157Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:12225: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:44:11.2973700Z     [False for i in range(x.size()[0])], dtype=torch.bool
2022-05-18T04:44:11.2973844Z 
2022-05-18T04:44:11.2974010Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_sequence_to_float
2022-05-18T04:44:11.2974801Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:12213: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:44:11.2975330Z     [1.1 for i in range(x.size()[0])], dtype=torch.float
2022-05-18T04:44:11.2975472Z 
2022-05-18T04:44:11.2975639Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_sequence_to_int
2022-05-18T04:44:11.2976246Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:12202: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:44:11.2976814Z     result = torch.tensor([2 for i in range(x.size()[0])], dtype=torch.int)
2022-05-18T04:44:11.2976980Z 
2022-05-18T04:44:11.2977165Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_shufflenet_v2_dynamic_axes
2022-05-18T04:44:11.2977694Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/utils.py:1515: UserWarning: Provided key output for dynamic axes is not a valid input/output name
2022-05-18T04:44:11.2978001Z     key
2022-05-18T04:44:11.2978095Z 
2022-05-18T04:44:11.2978275Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_shufflenet_v2_dynamic_axes
2022-05-18T04:44:11.2979264Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/shufflenetv2.py:23: UserWarning: __floordiv__ is deprecated, and its behavior will change in a future version of pytorch. It currently rounds toward 0 (like the 'trunc' function NOT 'floor'). This results in incorrect rounding for negative values. To keep the current behavior, use torch.div(a, b, rounding_mode='trunc'), or for actual floor division, use torch.div(a, b, rounding_mode='floor').
2022-05-18T04:44:11.2979942Z     channels_per_group = num_channels // groups
2022-05-18T04:44:11.2980083Z 
2022-05-18T04:44:11.2980256Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_slice_dynamic_to_end
2022-05-18T04:44:11.2980772Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/utils.py:1515: UserWarning: Provided key input_1 for dynamic axes is not a valid input/output name
2022-05-18T04:44:11.2981070Z     key
2022-05-18T04:44:11.2981164Z 
2022-05-18T04:44:11.2981319Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_slice_dynamic_to_end
2022-05-18T04:44:11.2981832Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/utils.py:1515: UserWarning: Provided key output_1 for dynamic axes is not a valid input/output name
2022-05-18T04:44:11.2982130Z     key
2022-05-18T04:44:11.2982225Z 
2022-05-18T04:44:11.2982398Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_split_size_with_slice
2022-05-18T04:44:11.2983054Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/utils.py:1522: UserWarning: No names were found for specified dynamic axes of provided input.Automatically generated names will be applied to each dynamic axes of input t
2022-05-18T04:44:11.2983427Z     key
2022-05-18T04:44:11.2983524Z 
2022-05-18T04:44:11.2983694Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_split_tensor_scalar
2022-05-18T04:44:11.2984468Z   /opt/conda/lib/python3.7/site-packages/torch/_tensor.py:609: TracerWarning: Converting a tensor to a Python integer might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:44:11.2984929Z     split_size = int(split_size)
2022-05-18T04:44:11.2985050Z 
2022-05-18T04:44:11.2985220Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_squeeze_dynamic_dim
2022-05-18T04:44:11.2986015Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:1958: TracerWarning: Converting a tensor to a Python integer might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:44:11.2986506Z     return torch.squeeze(x, dim)
2022-05-18T04:44:11.2986632Z 
2022-05-18T04:44:11.2986816Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_symbolic_shape_inference_arange
2022-05-18T04:44:11.2987767Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:11538: UserWarning: __rfloordiv__ is deprecated, and its behavior will change in a future version of pytorch. It currently rounds toward 0 (like the 'trunc' function NOT 'floor'). This results in incorrect rounding for negative values. To keep the current behavior, use torch.div(a, b, rounding_mode='trunc'), or for actual floor division, use torch.div(a, b, rounding_mode='floor').
2022-05-18T04:44:11.2988372Z     subframe_step = frame_step // subframe_length
2022-05-18T04:44:11.2988514Z 
2022-05-18T04:44:11.2988701Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_symbolic_shape_inference_arange
2022-05-18T04:44:11.2989661Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:11539: UserWarning: __floordiv__ is deprecated, and its behavior will change in a future version of pytorch. It currently rounds toward 0 (like the 'trunc' function NOT 'floor'). This results in incorrect rounding for negative values. To keep the current behavior, use torch.div(a, b, rounding_mode='trunc'), or for actual floor division, use torch.div(a, b, rounding_mode='floor').
2022-05-18T04:44:11.2990270Z     subframes_per_frame = frame_length // subframe_length
2022-05-18T04:44:11.2990418Z 
2022-05-18T04:44:11.2990625Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_symbolic_shape_inference_arange
2022-05-18T04:44:11.2991595Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:11541: UserWarning: __floordiv__ is deprecated, and its behavior will change in a future version of pytorch. It currently rounds toward 0 (like the 'trunc' function NOT 'floor'). This results in incorrect rounding for negative values. To keep the current behavior, use torch.div(a, b, rounding_mode='trunc'), or for actual floor division, use torch.div(a, b, rounding_mode='floor').
2022-05-18T04:44:11.2992191Z     output_subframes = output_size // subframe_length
2022-05-18T04:44:11.2992338Z 
2022-05-18T04:44:11.2992519Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_symbolic_shape_inference_box_if
2022-05-18T04:44:11.2993336Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:11593: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:44:11.2993819Z     if boxes_1.numel() > 3:
2022-05-18T04:44:11.2993924Z 
2022-05-18T04:44:11.2994141Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_symbolic_shape_inference_slice
2022-05-18T04:44:11.2994804Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/utils.py:1522: UserWarning: No names were found for specified dynamic axes of provided input.Automatically generated names will be applied to each dynamic axes of input position_bias
2022-05-18T04:44:11.2995187Z     key
2022-05-18T04:44:11.2995282Z 
2022-05-18T04:44:11.2995461Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_tensor_index_advanced_indexing
2022-05-18T04:44:11.2996074Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2784: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:44:11.2996598Z     torch.tensor([[0, 2], [1, 1]]),
2022-05-18T04:44:11.2996720Z 
2022-05-18T04:44:11.2996902Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_tensor_index_advanced_indexing
2022-05-18T04:44:11.2997523Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2786: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:44:11.2998034Z     torch.tensor([2, 1]),
2022-05-18T04:44:11.2998135Z 
2022-05-18T04:44:11.2998319Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_tensor_index_advanced_indexing
2022-05-18T04:44:11.2998944Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2787: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:44:11.2999442Z     torch.tensor([0, 3]),
2022-05-18T04:44:11.2999556Z 
2022-05-18T04:44:11.2999733Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_tensor_index_advanced_indexing
2022-05-18T04:44:11.3000333Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2796: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:44:11.3000917Z     :, torch.tensor([0, 2]), None, 2:4, torch.tensor([[1, 3], [4, 0]])
2022-05-18T04:44:11.3001066Z 
2022-05-18T04:44:11.3001246Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_tensor_index_advanced_indexing
2022-05-18T04:44:11.3001871Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2805: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:44:11.3002381Z     torch.tensor([0, 2]),
2022-05-18T04:44:11.3002496Z 
2022-05-18T04:44:11.3002664Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_tensor_index_advanced_indexing
2022-05-18T04:44:11.3003313Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2806: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:44:11.3003816Z     torch.tensor([1]),
2022-05-18T04:44:11.3003932Z 
2022-05-18T04:44:11.3004110Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_tensor_index_advanced_indexing
2022-05-18T04:44:11.3004731Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2808: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:44:11.3005243Z     torch.tensor([[1], [4]]),
2022-05-18T04:44:11.3005347Z 
2022-05-18T04:44:11.3005541Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_tensor_index_advanced_indexing_consecutive
2022-05-18T04:44:11.3006172Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2817: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:44:11.3006711Z     :, torch.tensor([0, 2]), torch.tensor([[1, 3], [4, 0]]), None
2022-05-18T04:44:11.3006852Z 
2022-05-18T04:44:11.3007042Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_tensor_index_advanced_indexing_ellipsis
2022-05-18T04:44:11.3007657Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2774: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:44:11.3008203Z     return input[..., torch.tensor([2, 1]), torch.tensor([0, 3])]
2022-05-18T04:44:11.3008354Z 
2022-05-18T04:44:11.3008527Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_tensordot_dynamic_dim
2022-05-18T04:44:11.3009177Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/utils.py:1522: UserWarning: No names were found for specified dynamic axes of provided input.Automatically generated names will be applied to each dynamic axes of input input_x
2022-05-18T04:44:11.3009558Z     key
2022-05-18T04:44:11.3009638Z 
2022-05-18T04:44:11.3009808Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_tensordot_dynamic_dim
2022-05-18T04:44:11.3010488Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/utils.py:1522: UserWarning: No names were found for specified dynamic axes of provided input.Automatically generated names will be applied to each dynamic axes of input input_y
2022-05-18T04:44:11.3010868Z     key
2022-05-18T04:44:11.3010961Z 
2022-05-18T04:44:11.3011126Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_topk_int32_k
2022-05-18T04:44:11.3011912Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:4060: TracerWarning: Converting a tensor to a Python integer might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:44:11.3012390Z     return torch.topk(x, k)
2022-05-18T04:44:11.3012509Z 
2022-05-18T04:44:11.3012682Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_topk_smallest_unsorted
2022-05-18T04:44:11.3013522Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:4072: TracerWarning: Converting a tensor to a Python integer might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:44:11.3014041Z     topk_unsorted = torch.topk(x, k, largest=False, sorted=False)
2022-05-18T04:44:11.3014184Z 
2022-05-18T04:44:11.3014436Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_topk_smallest_unsorted
2022-05-18T04:44:11.3015410Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:4073: TracerWarning: Converting a tensor to a Python integer might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:44:11.3015928Z     topk_sorted = torch.topk(x, k, largest=False, sorted=True)
2022-05-18T04:44:11.3016083Z 
2022-05-18T04:44:11.3016246Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_trace_script
2022-05-18T04:44:11.3016844Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:8284: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:44:11.3017474Z     return center_slice_helper(input, torch.tensor(input.shape[1] - 1))
2022-05-18T04:44:11.3017641Z 
2022-05-18T04:44:11.3017800Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_trace_script
2022-05-18T04:44:11.3018328Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:8284: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor).
2022-05-18T04:44:11.3018879Z     return center_slice_helper(input, torch.tensor(input.shape[1] - 1))
2022-05-18T04:44:11.3019048Z 
2022-05-18T04:44:11.3019209Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_transformer_encoder
2022-05-18T04:44:11.3019991Z   /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:4995: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:44:11.3020488Z     assert embed_dim == embed_dim_to_check, \
2022-05-18T04:44:11.3020622Z 
2022-05-18T04:44:11.3020791Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_transformer_encoder
2022-05-18T04:44:11.3021571Z   /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:5002: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:44:11.3022194Z     assert head_dim * num_heads == embed_dim, f"embed_dim {embed_dim} not divisible by num_heads {num_heads}"
2022-05-18T04:44:11.3022382Z 
2022-05-18T04:44:11.3022553Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_transformer_encoder
2022-05-18T04:44:11.3023338Z   /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:5008: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:44:11.3023907Z     assert key.shape == value.shape, f"key shape {key.shape} does not match value shape {value.shape}"
2022-05-18T04:44:11.3024106Z 
2022-05-18T04:44:11.3024277Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_transformer_encoder
2022-05-18T04:44:11.3025109Z   /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:4798: TracerWarning: Converting a tensor to a Python float might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:44:11.3025581Z     q = q / math.sqrt(E)
2022-05-18T04:44:11.3025695Z 
2022-05-18T04:44:11.3025852Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_type_as
2022-05-18T04:44:11.3026461Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:7739: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:44:11.3026980Z     y = torch.tensor([1.0])
2022-05-18T04:44:11.3027086Z 
2022-05-18T04:44:11.3027262Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_unfold_dynamic_inputs
2022-05-18T04:44:11.3028063Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:7146: TracerWarning: Converting a tensor to a Python integer might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:44:11.3028658Z     return x.unfold(dimension=2, size=x.shape[1], step=x.shape[1] - 1)
2022-05-18T04:44:11.3028822Z 
2022-05-18T04:44:11.3028994Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_unfold_dynamic_inputs
2022-05-18T04:44:11.3029778Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:7153: TracerWarning: Converting a tensor to a Python integer might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:44:11.3030291Z     return x.unfold(dimension=2, size=x.shape[1], step=1)
2022-05-18T04:44:11.3030440Z 
2022-05-18T04:44:11.3030606Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_uninitialized
2022-05-18T04:44:11.3031396Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:7966: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:44:11.3031869Z     if y.shape[1] < 5:
2022-05-18T04:44:11.3032004Z 
2022-05-18T04:44:11.3032172Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_uninitialized
2022-05-18T04:44:11.3032968Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:7967: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:44:11.3033437Z     if y.size(0) == 1:
2022-05-18T04:44:11.3033551Z 
2022-05-18T04:44:11.3033725Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_uninitialized_dynamic
2022-05-18T04:44:11.3034503Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:7980: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:44:11.3034968Z     if y.shape[1] < 5:
2022-05-18T04:44:11.3035081Z 
2022-05-18T04:44:11.3035255Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_uninitialized_dynamic
2022-05-18T04:44:11.3036106Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:7981: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:44:11.3036581Z     if y.size(0) == 1:
2022-05-18T04:44:11.3036690Z 
2022-05-18T04:44:11.3036849Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_unsqueeze_dynamic_dim
2022-05-18T04:44:11.3037646Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:1976: TracerWarning: Converting a tensor to a Python integer might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:44:11.3038145Z     return torch.unsqueeze(x, dim)
2022-05-18T04:44:11.3038273Z 
2022-05-18T04:44:11.3038436Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_view_dynamic
2022-05-18T04:44:11.3039054Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/utils.py:1522: UserWarning: No names were found for specified dynamic axes of provided input.Automatically generated names will be applied to each dynamic axes of input shape
2022-05-18T04:44:11.3039429Z     key
2022-05-18T04:44:11.3039523Z 
2022-05-18T04:44:11.3039696Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset15::test_where_with_byte_tensor
2022-05-18T04:44:11.3040529Z   /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:426: UserWarning: where received a uint8 condition tensor. This behavior is deprecated and will be removed in a future version of PyTorch. Use a boolean condition instead. (Triggered internally at  /var/lib/jenkins/workspace/aten/src/ATen/native/TensorCompare.cpp:402.)
2022-05-18T04:44:11.3041043Z     return callable(*args, **kwargs)
2022-05-18T04:44:11.3041159Z 
2022-05-18T04:44:11.3041395Z -- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html
2022-05-18T04:44:11.3041585Z 
2022-05-18T04:44:11.3041787Z ---------- coverage: platform linux, python 3.7.13-final-0 -----------
2022-05-18T04:44:11.3042065Z Coverage XML written to file test/coverage.xml
2022-05-18T04:44:11.3042207Z 
2022-05-18T04:44:11.3042324Z =========================== short test summary info ============================
2022-05-18T04:44:11.3042605Z SKIPPED [1] test/onnx/test_pytorch_common.py:68: Unsupported opset_version: 15 > 13
2022-05-18T04:44:11.3043023Z SKIPPED [1] test/onnx/test_pytorch_common.py:98: Due to ONNX Loop shape inference issue. https://msdata.visualstudio.com/Vienna/_workitems/edit/1352001
2022-05-18T04:44:11.3043463Z SKIPPED [1] test/onnx/test_pytorch_common.py:53: Unsupported opset_version: 15 < 16
2022-05-18T04:44:11.3043774Z SKIPPED [1] test/onnx/test_pytorch_common.py:68: Unsupported opset_version: 15 > 8
2022-05-18T04:44:11.3044138Z SKIPPED [1] test/onnx/test_pytorch_common.py:53: Failing, see https://github.com/pytorch/pytorch/issues/66528
2022-05-18T04:44:11.3044570Z SKIPPED [1] test/onnx/test_pytorch_common.py:53: Unstable loading pretrained quantized mobilenet v3: https://github.com/pytorch/vision/issues/5303
2022-05-18T04:44:11.3044965Z SKIPPED [1] test/onnx/test_pytorch_common.py:53: Unsupported opset_version: 15 > 13
2022-05-18T04:44:11.3045346Z SKIPPED [1] test/onnx/test_pytorch_common.py:53: Bug in ORT, skip test until rel-1.11.
2022-05-18T04:44:11.3045670Z SKIPPED [1] test/onnx/test_pytorch_common.py:68: Unsupported opset_version: 15 > 10
2022-05-18T04:44:11.3046099Z ========== 796 passed, 9 skipped, 1787 warnings in 630.89s (0:10:30) ===========
2022-05-18T04:44:11.7776853Z + for i in '$(seq 10 16)'
2022-05-18T04:44:11.7777607Z + pytest -v --cov --cov-report xml:test/coverage.xml --cov-append /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16
2022-05-18T04:44:12.0190796Z ============================= test session starts ==============================
2022-05-18T04:44:12.0191221Z platform linux -- Python 3.7.13, pytest-7.1.2, pluggy-1.0.0 -- /opt/conda/bin/python
2022-05-18T04:44:12.0264681Z cachedir: .pytest_cache
2022-05-18T04:44:12.0265187Z rootdir: /var/lib/jenkins/workspace, configfile: pytest.ini
2022-05-18T04:44:12.0265745Z plugins: hypothesis-3.44.6, cov-3.0.0
2022-05-18T04:44:12.8895152Z collecting ... 
2022-05-18T04:44:13.0124934Z collecting 0 items                                                             
2022-05-18T04:44:13.0125298Z collected 805 items                                                            
2022-05-18T04:44:13.0134697Z 
2022-05-18T04:44:13.1456433Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test__dim_arange PASSED [  0%]
2022-05-18T04:44:13.1558061Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_add_inplace Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'x.1'. This changes graph semantics.
2022-05-18T04:44:13.1741621Z Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: '0'. This changes graph semantics.
2022-05-18T04:44:13.1936284Z PASSED [  0%]
2022-05-18T04:44:13.2401213Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_addcmul PASSED [  0%]
2022-05-18T04:44:13.3316483Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_all PASSED [  0%]
2022-05-18T04:44:13.3391140Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_all_optional_default_none PASSED [  0%]
2022-05-18T04:44:13.3502108Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_all_optional_default_tensor PASSED [  0%]
2022-05-18T04:44:13.4497131Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_all_optional_default_tensor_script PASSED [  0%]
2022-05-18T04:44:13.5027120Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_amax_amin PASSED [  0%]
2022-05-18T04:44:13.5701278Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_aminmax PASSED [  1%]
2022-05-18T04:44:13.6265188Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_and_or_xor PASSED [  1%]
2022-05-18T04:44:13.7442917Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_any PASSED [  1%]
2022-05-18T04:44:13.9035446Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_arange_dynamic PASSED [  1%]
2022-05-18T04:44:14.0242372Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_arange_end PASSED [  1%]
2022-05-18T04:44:14.1659068Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_arange_end_notype PASSED [  1%]
2022-05-18T04:44:14.2333161Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_arange_no_type PASSED [  1%]
2022-05-18T04:44:14.2971658Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_arange_out PASSED [  1%]
2022-05-18T04:44:14.4399360Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_arange_start_end PASSED [  2%]
2022-05-18T04:44:14.5819114Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_arange_start_end_notype PASSED [  2%]
2022-05-18T04:44:14.7522473Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_arange_start_end_step PASSED [  2%]
2022-05-18T04:44:14.9216124Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_arange_start_end_step_notype PASSED [  2%]
2022-05-18T04:44:15.0850922Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_arange_start_out PASSED [  2%]
2022-05-18T04:44:15.4550664Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_arange_with_floats PASSED [  2%]
2022-05-18T04:44:15.6779725Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_arange_with_floats_out PASSED [  2%]
2022-05-18T04:44:15.8381765Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_arange_with_floats_override PASSED [  2%]
2022-05-18T04:44:15.9166833Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_argmin_argmax PASSED [  3%]
2022-05-18T04:44:16.0709609Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_argmin_argmax_select_last_index PASSED [  3%]
2022-05-18T04:44:16.1818990Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_arithmetic PASSED [  3%]
2022-05-18T04:44:16.1844674Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_arithmeticOps_with_low_precision SKIPPED [  3%]
2022-05-18T04:44:16.2572610Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_arithmetic_infer_dtype PASSED [  3%]
2022-05-18T04:44:16.3759354Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_arithmetic_prim_bool PASSED [  3%]
2022-05-18T04:44:16.5639913Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_arithmetic_prim_float PASSED [  3%]
2022-05-18T04:44:16.7342563Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_arithmetic_prim_long PASSED [  3%]
2022-05-18T04:44:16.8141958Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_as_strided PASSED [  4%]
2022-05-18T04:44:16.8287987Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_auto_grad PASSED [  4%]
2022-05-18T04:44:16.8957554Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_avgpool PASSED [  4%]
2022-05-18T04:44:16.9582150Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_avgpool_1d_ceil PASSED [  4%]
2022-05-18T04:44:17.0514473Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_avgpool_2d_ceil PASSED [  4%]
2022-05-18T04:44:18.0671740Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_avgpool_3d_ceil PASSED [  4%]
2022-05-18T04:44:18.1309591Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_avgpool_default_stride PASSED [  4%]
2022-05-18T04:44:18.1721371Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_baddbmm PASSED [  4%]
2022-05-18T04:44:18.2014465Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_baddbmm_dynamic PASSED [  5%]
2022-05-18T04:44:18.4157716Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_batched_nms PASSED [  5%]
2022-05-18T04:44:18.5373673Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_batchnorm1d PASSED [  5%]
2022-05-18T04:44:18.6626088Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_batchnorm1d_noaffine PASSED [  5%]
2022-05-18T04:44:18.8599675Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_batchnorm1d_norunningstats PASSED [  5%]
2022-05-18T04:44:18.9397016Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_batchnorm2d PASSED [  5%]
2022-05-18T04:44:19.0231982Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_batchnorm2d_noaffine PASSED [  5%]
2022-05-18T04:44:19.1492367Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_batchnorm2d_norunningstats PASSED [  5%]
2022-05-18T04:44:22.9367080Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_batchnorm3d PASSED [  6%]
2022-05-18T04:44:26.7354617Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_batchnorm3d_noaffine PASSED [  6%]
2022-05-18T04:44:27.3526843Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_batchnorm_eval_mode_train_layer PASSED [  6%]
2022-05-18T04:44:27.5733378Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_batchnorm_training Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'bn1.num_batches_tracked'. This changes graph semantics.
2022-05-18T04:44:27.5734792Z Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'bn2.num_batches_tracked'. This changes graph semantics.
2022-05-18T04:44:27.5735784Z Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'bn3.num_batches_tracked'. This changes graph semantics.
2022-05-18T04:44:27.9030963Z Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'bn1.num_batches_tracked'. This changes graph semantics.
2022-05-18T04:44:27.9031955Z Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'bn2.num_batches_tracked'. This changes graph semantics.
2022-05-18T04:44:27.9032927Z Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'bn3.num_batches_tracked'. This changes graph semantics.
2022-05-18T04:44:28.0271904Z PASSED [  6%]
2022-05-18T04:44:28.3124049Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_batchnorm_training_mode_fix_layer Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'bn1.num_batches_tracked'. This changes graph semantics.
2022-05-18T04:44:28.3125344Z Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'bn2.num_batches_tracked'. This changes graph semantics.
2022-05-18T04:44:28.3126315Z Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'bn3.num_batches_tracked'. This changes graph semantics.
2022-05-18T04:44:28.7133515Z Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'bn1.num_batches_tracked'. This changes graph semantics.
2022-05-18T04:44:28.7134752Z Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'bn2.num_batches_tracked'. This changes graph semantics.
2022-05-18T04:44:28.7136137Z Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'bn3.num_batches_tracked'. This changes graph semantics.
2022-05-18T04:44:28.8497168Z PASSED [  6%]
2022-05-18T04:44:28.9436755Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_bernoulli PASSED [  6%]
2022-05-18T04:44:29.4801038Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_binary_cross_entropy_with_logits PASSED [  6%]
2022-05-18T04:44:29.5563258Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_bitshift PASSED [  6%]
2022-05-18T04:44:29.6262107Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_bitshift_uint8 PASSED [  7%]
2022-05-18T04:44:29.7273177Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_broad_cast_tensors PASSED [  7%]
2022-05-18T04:44:29.7924846Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_bucketize PASSED [  7%]
2022-05-18T04:44:29.8181906Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_cast_to PASSED [  7%]
2022-05-18T04:44:29.8786063Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_cast_to_bool PASSED [  7%]
2022-05-18T04:44:29.9333053Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_cast_type_as_with_bfloat16 PASSED [  7%]
2022-05-18T04:44:29.9801538Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_cdist PASSED [  7%]
2022-05-18T04:44:30.0144495Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_celu PASSED [  7%]
2022-05-18T04:44:30.0450348Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_celu_alpha PASSED [  8%]
2022-05-18T04:44:30.0765007Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_celu_cast PASSED [  8%]
2022-05-18T04:44:30.1062523Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_celu_default PASSED [  8%]
2022-05-18T04:44:30.3140920Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_chunk PASSED [  8%]
2022-05-18T04:44:30.3655253Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_clamp WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:44:30.3657728Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:44:30.3666223Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:44:30.3785288Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:44:30.3788933Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:44:30.3791939Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:44:30.3981544Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:44:30.3985895Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:44:30.3993640Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:44:30.4111177Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:44:30.4114402Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:44:30.4117287Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:44:30.4143735Z PASSED [  8%]
2022-05-18T04:44:30.4344937Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_clamp_dyn WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:44:30.4348105Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:44:30.4356625Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:44:30.4560254Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:44:30.4563466Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:44:30.4572622Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:44:30.5606850Z PASSED [  8%]
2022-05-18T04:44:30.7128130Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_clip_boxes_to_image PASSED [  8%]
2022-05-18T04:44:30.7484075Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_clip_int PASSED [  8%]
2022-05-18T04:44:30.7847140Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_concat PASSED [  9%]
2022-05-18T04:44:30.8053826Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_concat_dynamic PASSED [  9%]
2022-05-18T04:44:30.8278196Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_constant_pad Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:44:30.8296749Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:44:30.8312658Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:44:30.8495553Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:44:30.8512800Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:44:30.8523247Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:44:30.8754791Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:44:30.8771596Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:44:30.8787199Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:44:30.8970686Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:44:30.8988482Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:44:30.8998213Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:44:30.9036343Z PASSED [  9%]
2022-05-18T04:44:33.5161725Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_conv PASSED [  9%]
2022-05-18T04:44:33.7817005Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_conv_bn Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'bn.num_batches_tracked'. This changes graph semantics.
2022-05-18T04:44:33.8413885Z PASSED [  9%]
2022-05-18T04:44:34.0335035Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_conv_shape_inference PASSED [  9%]
2022-05-18T04:44:34.0793331Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_conv_tbc PASSED [  9%]
2022-05-18T04:44:54.9394330Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_conv_transpose PASSED [  9%]
2022-05-18T04:44:55.1154248Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_convolution_allow_tf32 PASSED [ 10%]
2022-05-18T04:44:56.4929408Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_copy_ PASSED [ 10%]
2022-05-18T04:44:57.0597916Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_copy_ellipsis PASSED [ 10%]
2022-05-18T04:44:57.4012604Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_copy_ellipsis_script PASSED [ 10%]
2022-05-18T04:44:57.5022962Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_copy_tracing PASSED [ 10%]
2022-05-18T04:44:57.5439031Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_cosine_similarity PASSED [ 10%]
2022-05-18T04:44:57.6235225Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_cross PASSED [ 10%]
2022-05-18T04:44:59.4836204Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_crossentropyloss PASSED [ 10%]
2022-05-18T04:44:59.5648986Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_cste_script PASSED [ 11%]
2022-05-18T04:44:59.5989461Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_cumsum PASSED [ 11%]
2022-05-18T04:44:59.6672591Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_cumsum_with_cast PASSED [ 11%]
2022-05-18T04:44:59.7070244Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_data PASSED [ 11%]
2022-05-18T04:44:59.7433417Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_dequantize PASSED [ 11%]
2022-05-18T04:44:59.9599956Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_derive_index PASSED [ 11%]
2022-05-18T04:44:59.9727883Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_derive_index_scripting Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'j.11'. This changes graph semantics.
2022-05-18T04:45:00.1058115Z Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'j.11'. This changes graph semantics.
2022-05-18T04:45:00.2392042Z Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'j.11'. This changes graph semantics.
2022-05-18T04:45:00.3464294Z Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'j.11'. This changes graph semantics.
2022-05-18T04:45:00.4430281Z PASSED [ 11%]
2022-05-18T04:45:00.4657354Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_det PASSED [ 11%]
2022-05-18T04:45:00.4964974Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_device_eq PASSED [ 12%]
2022-05-18T04:45:00.8589785Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_diagonal PASSED [ 12%]
2022-05-18T04:45:00.8709385Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_dict PASSED [ 12%]
2022-05-18T04:45:00.8782470Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_dict_output PASSED [ 12%]
2022-05-18T04:45:00.8927480Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_dict_str PASSED [ 12%]
2022-05-18T04:45:00.9353051Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_dim PASSED [ 12%]
2022-05-18T04:45:01.0497627Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_dim_1 PASSED [ 12%]
2022-05-18T04:45:01.2496348Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_dist_normal PASSED [ 12%]
2022-05-18T04:45:01.3098045Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_dist_normal_correctness PASSED [ 13%]
2022-05-18T04:45:01.5049550Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_dist_uniform PASSED [ 13%]
2022-05-18T04:45:01.5643952Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_dist_uniform_correctness PASSED [ 13%]
2022-05-18T04:45:01.6226101Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_div PASSED [ 13%]
2022-05-18T04:45:01.7170073Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_div_promotion_script PASSED [ 13%]
2022-05-18T04:45:01.7576916Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_div_promotion_trace PASSED [ 13%]
2022-05-18T04:45:02.2653533Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_div_rounding_mode PASSED [ 13%]
2022-05-18T04:45:02.3062406Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_dot PASSED [ 13%]
2022-05-18T04:45:02.3476083Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_dropout PASSED [ 14%]
2022-05-18T04:45:02.3843775Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_dropout_training PASSED [ 14%]
2022-05-18T04:45:02.4451669Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_dropout_training_zero PASSED [ 14%]
2022-05-18T04:45:02.4752595Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_dtype PASSED [ 14%]
2022-05-18T04:45:02.5059565Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_dtype_eq PASSED [ 14%]
2022-05-18T04:45:02.5687361Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_dynamic_arange_out PASSED [ 14%]
2022-05-18T04:45:02.7316837Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_dynamic_arange_start_out PASSED [ 14%]
2022-05-18T04:45:03.0563144Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_dynamic_chunk PASSED [ 14%]
2022-05-18T04:45:03.5763446Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_dynamic_expand_as PASSED [ 15%]
2022-05-18T04:45:03.8713082Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_dynamic_repeat_interleave PASSED [ 15%]
2022-05-18T04:45:04.0628873Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_einsum PASSED [ 15%]
2022-05-18T04:45:04.1049400Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_elman_relu_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:04.1050734Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:04.1512627Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:04.1513151Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:04.2088771Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:04.2089311Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:04.2548439Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:04.2548981Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:04.2746625Z PASSED [ 15%]
2022-05-18T04:45:04.3164154Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_elman_relu_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:04.3164864Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:04.3623854Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:04.3624814Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:04.4196771Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:04.4197774Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:04.4656299Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:04.4657481Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:04.4852438Z PASSED [ 15%]
2022-05-18T04:45:04.5266770Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_elman_relu_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:04.5268104Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:04.5726502Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:04.5727472Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:04.6300520Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:04.6301094Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:04.6760578Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:04.6761114Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:04.6955026Z PASSED [ 15%]
2022-05-18T04:45:04.7385749Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_elman_relu_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:04.7386457Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:04.7847583Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:04.7848251Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:04.8423364Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:04.8423925Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:04.8884491Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:04.8885195Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:04.9074830Z PASSED [ 15%]
2022-05-18T04:45:04.9752392Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_elman_relu_trilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:04.9844666Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:04.9920422Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:05.0659411Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:05.0751271Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:05.0827004Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:05.0922501Z PASSED [ 15%]
2022-05-18T04:45:05.1601448Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_elman_relu_trilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:05.1693538Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:05.1769100Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:05.2512632Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:05.2604647Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:05.2685840Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:05.2782451Z PASSED [ 16%]
2022-05-18T04:45:05.3196911Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_elman_relu_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:05.3197655Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:05.3633767Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:05.3634301Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:05.4160874Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:05.4161702Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:05.4587236Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:05.4587962Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:05.4738469Z PASSED [ 16%]
2022-05-18T04:45:05.5152322Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_elman_relu_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:05.5153070Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:05.5585476Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:05.5586112Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:05.6116533Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:05.6117080Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:05.6544909Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:05.6545467Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:05.6698444Z PASSED [ 16%]
2022-05-18T04:45:05.7110659Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_elman_relu_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:05.7111376Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:05.7537972Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:05.7538499Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:05.8064283Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:05.8064855Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:05.8490964Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:05.8491740Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:05.8640356Z PASSED [ 16%]
2022-05-18T04:45:05.9049844Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_elman_relu_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:05.9050543Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:05.9480534Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:05.9481277Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:05.9998852Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:05.9999401Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:06.0426254Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:06.0426802Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:06.0574070Z PASSED [ 16%]
2022-05-18T04:45:06.0951794Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_elman_relu_trilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:06.1036461Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:06.1092156Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:06.1506843Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:06.1590819Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:06.1646611Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:06.1717754Z PASSED [ 16%]
2022-05-18T04:45:06.2094997Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_elman_relu_trilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:06.2181668Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:06.2237108Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:06.2650040Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:06.2735556Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:06.2791388Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:06.2864559Z PASSED [ 16%]
2022-05-18T04:45:06.3247329Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_elman_relu_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:06.3248699Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:06.3666816Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:06.3667754Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:06.4171091Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:06.4172112Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:06.4588191Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:06.4589174Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:06.4742964Z PASSED [ 16%]
2022-05-18T04:45:06.5123498Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_elman_relu_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:06.5124803Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:06.5541497Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:06.5542396Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:06.6039646Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:06.6040445Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:06.6457821Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:06.6458381Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:06.6610849Z PASSED [ 17%]
2022-05-18T04:45:06.6988244Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_elman_relu_trilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:06.6989117Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:06.7404266Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:06.7404769Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:06.7894501Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:06.7895354Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:06.8310269Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:06.8310970Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:06.8457423Z PASSED [ 17%]
2022-05-18T04:45:06.8836655Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_elman_relu_trilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:06.8837367Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:06.9253633Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:06.9254375Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:06.9742612Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:06.9743322Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:07.0161620Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:07.0162401Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:07.0308199Z PASSED [ 17%]
2022-05-18T04:45:07.0945806Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_elman_relu_trilayer_forward_no_initial_state_without_sequence_lengths_with_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:07.0994204Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:07.1038917Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:07.1732204Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:07.1779298Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:07.1824129Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:07.1910624Z PASSED [ 17%]
2022-05-18T04:45:07.2545680Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_elman_relu_trilayer_forward_no_initial_state_without_sequence_lengths_without_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:07.2593483Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:07.2637543Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:07.3325621Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:07.3373104Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:07.3417344Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:07.3501108Z PASSED [ 17%]
2022-05-18T04:45:07.3872280Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_elman_relu_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:07.3873027Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:07.4257920Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:07.4258713Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:07.4706511Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:07.4707056Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:07.5093874Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:07.5094460Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:07.5205046Z PASSED [ 17%]
2022-05-18T04:45:07.5576531Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_elman_relu_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:07.5577232Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:07.5961660Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:07.5962503Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:07.6412259Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:07.6412786Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:07.6799507Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:07.6800029Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:07.6913778Z PASSED [ 17%]
2022-05-18T04:45:07.7284024Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_elman_relu_trilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:07.7284722Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:07.7669947Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:07.7670481Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:07.8113498Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:07.8114105Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:07.8499157Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:07.8499727Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:07.8604737Z PASSED [ 17%]
2022-05-18T04:45:07.8975907Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_elman_relu_trilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:07.8976611Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:07.9362881Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:07.9363411Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:07.9805765Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:07.9806320Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:08.0191823Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:08.0192348Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:08.0301118Z PASSED [ 18%]
2022-05-18T04:45:08.0638748Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_elman_relu_trilayer_forward_with_initial_state_without_sequence_lengths_with_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:08.0683735Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:08.0711813Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:08.1083179Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:08.1128219Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:08.1158449Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:08.1223976Z PASSED [ 18%]
2022-05-18T04:45:08.1563651Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_elman_relu_trilayer_forward_with_initial_state_without_sequence_lengths_without_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:08.1607995Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:08.1635994Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:08.2007917Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:08.2052404Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:08.2080022Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:08.2144361Z PASSED [ 18%]
2022-05-18T04:45:08.2507025Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_elman_relu_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:08.2507752Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:08.2907738Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:08.2908435Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:08.3328818Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:08.3329453Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:08.3724474Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:08.3725197Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:08.3813319Z PASSED [ 18%]
2022-05-18T04:45:08.4179775Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_elman_relu_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:08.4180507Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:08.4574172Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:08.4575124Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:08.4995377Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:08.4996068Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:08.5389137Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:08.5390048Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:08.5477592Z PASSED [ 18%]
2022-05-18T04:45:08.5841355Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_elman_relu_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:08.5842065Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:08.6235671Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:08.6236226Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:08.6650503Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:08.6651242Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:08.7044611Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:08.7045335Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:08.7127321Z PASSED [ 18%]
2022-05-18T04:45:08.7489728Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_elman_relu_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:08.7490448Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:08.7883237Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:08.7884175Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:08.8295833Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:08.8296531Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:08.8690011Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:08.8690763Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:08.8771677Z PASSED [ 18%]
2022-05-18T04:45:08.9392891Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_elman_relu_unilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:08.9417370Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:08.9438459Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:09.0076005Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:09.0100622Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:09.0123759Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:09.0174120Z PASSED [ 18%]
2022-05-18T04:45:09.0795841Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_elman_relu_unilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:09.0820884Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:09.0844180Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:09.1486957Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:09.1512098Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:09.1533770Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:09.1582995Z PASSED [ 19%]
2022-05-18T04:45:09.1944277Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_elman_relu_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:09.1945201Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:09.2310255Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:09.2310782Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:09.2711078Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:09.2711811Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:09.3077755Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:09.3078288Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:09.3148811Z PASSED [ 19%]
2022-05-18T04:45:09.3508876Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_elman_relu_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:09.3509606Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:09.3873762Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:09.3874302Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:09.4273644Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:09.4274171Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:09.4640024Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:09.4640545Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:09.4714706Z PASSED [ 19%]
2022-05-18T04:45:09.5078975Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_elman_relu_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:09.5079873Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:09.5445510Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:09.5446032Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:09.5845520Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:09.5846046Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:09.6212181Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:09.6212895Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:09.6280372Z PASSED [ 19%]
2022-05-18T04:45:09.6641790Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_elman_relu_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:09.6642510Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:09.7009216Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:09.7009764Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:09.7402596Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:09.7403139Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:09.7768206Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:09.7768751Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:09.7836249Z PASSED [ 19%]
2022-05-18T04:45:09.8161830Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_elman_relu_unilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:09.8184994Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:09.8200288Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:09.8532846Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:09.8556244Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:09.8571686Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:09.8609572Z PASSED [ 19%]
2022-05-18T04:45:09.8933561Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_elman_relu_unilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:09.8956928Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:09.8972240Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:09.9304170Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:09.9327491Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:09.9342717Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:09.9380619Z PASSED [ 19%]
2022-05-18T04:45:09.9728410Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_elman_relu_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:09.9729111Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:10.0109487Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:10.0110183Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:10.0507001Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:10.0507583Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:10.0887398Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:10.0888169Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:10.0962765Z PASSED [ 19%]
2022-05-18T04:45:10.1311127Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_elman_relu_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:10.1311867Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:10.1691407Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:10.1692103Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:10.2090939Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:10.2091781Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:10.2473548Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:10.2474176Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:10.2556311Z PASSED [ 20%]
2022-05-18T04:45:10.2914589Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_elman_relu_unilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:10.2915302Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:10.3298996Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:10.3299653Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:10.3698676Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:10.4080796Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:10.4081506Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:10.4082023Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:10.4154693Z PASSED [ 20%]
2022-05-18T04:45:10.4507507Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_elman_relu_unilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:10.4508467Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:10.4888112Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:10.4888814Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:10.5276137Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:10.5276690Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:10.5657856Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:10.5658405Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:10.5727425Z PASSED [ 20%]
2022-05-18T04:45:10.6332506Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_elman_relu_unilayer_forward_no_initial_state_without_sequence_lengths_with_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:10.6345227Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:10.6358931Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:10.6980760Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:10.6993919Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:10.7007616Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:10.7051772Z PASSED [ 20%]
2022-05-18T04:45:10.7654361Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_elman_relu_unilayer_forward_no_initial_state_without_sequence_lengths_without_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:10.7667127Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:10.7681387Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:10.8300914Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:10.8313638Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:10.8328904Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:10.8375920Z PASSED [ 20%]
2022-05-18T04:45:10.8720545Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_elman_relu_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:10.8721244Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:10.9073950Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:10.9074733Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:10.9445909Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:10.9446438Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:10.9798054Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:10.9798597Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:10.9855594Z PASSED [ 20%]
2022-05-18T04:45:11.0198334Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_elman_relu_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:11.0199052Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:11.0551841Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:11.0552526Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:11.0926383Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:11.0927044Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:11.1281853Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:11.1282476Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:11.1339852Z PASSED [ 20%]
2022-05-18T04:45:11.1684615Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_elman_relu_unilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:11.1685334Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:11.2038534Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:11.2039241Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:11.2408707Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:11.2409243Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:11.2762138Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:11.2762655Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:11.2818354Z PASSED [ 20%]
2022-05-18T04:45:11.3163122Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_elman_relu_unilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:11.3163815Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:11.3518470Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:11.3518992Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:11.3891511Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:11.3892038Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:11.4250318Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:11.4250826Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:11.4307831Z PASSED [ 20%]
2022-05-18T04:45:11.4623431Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_elman_relu_unilayer_forward_with_initial_state_without_sequence_lengths_with_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:11.4634861Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:11.4643590Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:11.4967783Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:11.4979621Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:11.4988904Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:11.5025370Z PASSED [ 21%]
2022-05-18T04:45:11.5334857Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_elman_relu_unilayer_forward_with_initial_state_without_sequence_lengths_without_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:11.5346312Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:11.5355692Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:11.5673753Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:11.5685206Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:11.5694837Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:11.5730561Z PASSED [ 21%]
2022-05-18T04:45:11.6147811Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_elman_tanh_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:11.6148535Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:11.6607989Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:11.6608660Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:11.7183777Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:11.7184388Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:11.7642135Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:11.7642880Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:11.7835094Z PASSED [ 21%]
2022-05-18T04:45:11.8248957Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_elman_tanh_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:11.8249687Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:11.8707374Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:11.8707910Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:11.9282310Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:11.9282853Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:11.9743924Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:11.9744443Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:11.9937702Z PASSED [ 21%]
2022-05-18T04:45:12.0352862Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_elman_tanh_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:12.0353631Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:12.0813332Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:12.0813854Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:12.1389810Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:12.1390461Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:12.1849327Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:12.1850167Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:12.2041357Z PASSED [ 21%]
2022-05-18T04:45:12.2460957Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_elman_tanh_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:12.2461684Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:12.2919821Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:12.2920656Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:12.3487303Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:12.3487934Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:12.3953187Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:12.3953818Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:12.4145358Z PASSED [ 21%]
2022-05-18T04:45:12.4825213Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_elman_tanh_trilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:12.4916267Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:12.4991887Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:12.5727408Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:12.5819112Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:12.5893999Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:12.5989628Z PASSED [ 21%]
2022-05-18T04:45:12.6666316Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_elman_tanh_trilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:12.6757682Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:12.6833393Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:12.7571000Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:12.7662536Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:12.7738325Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:12.7834097Z PASSED [ 21%]
2022-05-18T04:45:12.8249470Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_elman_tanh_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:12.8250195Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:12.8677305Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:12.8677852Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:12.9212462Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:12.9213022Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:12.9639882Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:12.9640422Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:12.9791655Z PASSED [ 22%]
2022-05-18T04:45:13.0203944Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_elman_tanh_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:13.0204660Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:13.0633804Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:13.0634306Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:13.1164722Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:13.1165597Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:13.1594300Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:13.1594934Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:13.1746509Z PASSED [ 22%]
2022-05-18T04:45:13.2158502Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_elman_tanh_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:13.2159399Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:13.2589559Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:13.2590251Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:13.3108749Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:13.3109499Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:13.3536622Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:13.3537321Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:13.3681340Z PASSED [ 22%]
2022-05-18T04:45:13.4090804Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_elman_tanh_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:13.4091525Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:13.4519391Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:13.4519910Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:13.5043462Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:13.5044013Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:13.5470474Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:13.5471019Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:13.5616165Z PASSED [ 22%]
2022-05-18T04:45:13.5993439Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_elman_tanh_trilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:13.6077637Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:13.6132986Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:13.6548631Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:13.6633687Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:13.6689028Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:13.6760769Z PASSED [ 22%]
2022-05-18T04:45:13.7139592Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_elman_tanh_trilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:13.7225216Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:13.7280998Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:13.7694691Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:13.7778613Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:13.7834218Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:13.7905576Z PASSED [ 22%]
2022-05-18T04:45:13.8281858Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_elman_tanh_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:13.8282616Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:13.8699687Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:13.8700447Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:13.9204450Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:13.9204983Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:13.9621892Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:13.9622400Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:13.9776660Z PASSED [ 22%]
2022-05-18T04:45:14.0155585Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_elman_tanh_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:14.0156365Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:14.0571662Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:14.0572182Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:14.1074517Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:14.1075056Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:14.1491235Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:14.1491813Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:14.1644037Z PASSED [ 22%]
2022-05-18T04:45:14.2021861Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_elman_tanh_trilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:14.2022558Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:14.2438469Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:14.2438974Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:14.2932527Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:14.2933136Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:14.3348489Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:14.3349039Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:14.3495396Z PASSED [ 23%]
2022-05-18T04:45:14.3869440Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_elman_tanh_trilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:14.3870418Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:14.4285908Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:14.4286436Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:14.4772775Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:14.4773318Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:14.5193217Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:14.5193745Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:14.5341736Z PASSED [ 23%]
2022-05-18T04:45:14.5981512Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_elman_tanh_trilayer_forward_no_initial_state_without_sequence_lengths_with_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:14.6028462Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:14.6077197Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:14.6764821Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:14.6812917Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:14.6858622Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:14.6942475Z PASSED [ 23%]
2022-05-18T04:45:14.7576159Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_elman_tanh_trilayer_forward_no_initial_state_without_sequence_lengths_without_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:14.7623227Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:14.7667320Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:14.8355166Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:14.8402923Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:14.8451620Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:14.8536029Z PASSED [ 23%]
2022-05-18T04:45:14.8908401Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_elman_tanh_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:14.8909096Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:14.9294896Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:14.9295475Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:14.9753363Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:14.9753897Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:15.0139547Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:15.0140083Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:15.0251165Z PASSED [ 23%]
2022-05-18T04:45:15.0625419Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_elman_tanh_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:15.0626120Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:15.1012098Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:15.1012633Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:15.1464518Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:15.1465037Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:15.1853999Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:15.1854671Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:15.1966029Z PASSED [ 23%]
2022-05-18T04:45:15.2337308Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_elman_tanh_trilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:15.2338000Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:15.2724487Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:15.2725024Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:15.3169593Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:15.3170122Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:15.3555299Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:15.3555857Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:15.3661202Z PASSED [ 23%]
2022-05-18T04:45:15.4033099Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_elman_tanh_trilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:15.4033801Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:15.4420799Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:15.4421307Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:15.4873765Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:15.4874297Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:15.5262116Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:15.5262692Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:15.5370315Z PASSED [ 23%]
2022-05-18T04:45:15.5712466Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_elman_tanh_trilayer_forward_with_initial_state_without_sequence_lengths_with_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:15.5756784Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:15.5785442Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:15.6159195Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:15.6203223Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:15.6231993Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:15.6298535Z PASSED [ 24%]
2022-05-18T04:45:15.6635543Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_elman_tanh_trilayer_forward_with_initial_state_without_sequence_lengths_without_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:15.6679949Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:15.6708229Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:15.7078714Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:15.7123198Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:15.7151740Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:15.7215515Z PASSED [ 24%]
2022-05-18T04:45:15.7580359Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_elman_tanh_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:15.7581285Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:15.7976263Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:15.7976792Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:15.8396082Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:15.8396617Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:15.8792000Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:15.8792540Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:15.8881995Z PASSED [ 24%]
2022-05-18T04:45:15.9248709Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_elman_tanh_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:15.9249434Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:15.9643743Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:15.9644294Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:16.0066922Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:16.0067462Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:16.0461782Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:16.0462316Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:16.0550012Z PASSED [ 24%]
2022-05-18T04:45:16.0914321Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_elman_tanh_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:16.0915252Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:16.1309125Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:16.1309670Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:16.1727248Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:16.1727797Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:16.2121774Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:16.2122548Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:16.2203585Z PASSED [ 24%]
2022-05-18T04:45:16.2566241Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_elman_tanh_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:16.2566958Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:16.2960042Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:16.2960573Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:16.3373762Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:16.3374350Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:16.3768784Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:16.3769322Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:16.3855342Z PASSED [ 24%]
2022-05-18T04:45:16.4476265Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_elman_tanh_unilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:16.4501271Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:16.4524852Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:16.5170053Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:16.5194652Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:16.5218143Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:16.5270513Z PASSED [ 24%]
2022-05-18T04:45:16.5899471Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_elman_tanh_unilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:16.5924026Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:16.5947571Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:16.6589998Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:16.6614392Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:16.6638153Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:16.6690815Z PASSED [ 24%]
2022-05-18T04:45:16.7052807Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_elman_tanh_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:16.7053525Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:16.7419345Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:16.7419916Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:16.7819636Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:16.7820183Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:16.8186540Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:16.8187059Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:16.8257384Z PASSED [ 25%]
2022-05-18T04:45:16.8618098Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_elman_tanh_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:16.8618805Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:16.8984087Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:16.8984633Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:16.9382910Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:16.9383638Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:16.9748789Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:16.9749387Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:16.9821898Z PASSED [ 25%]
2022-05-18T04:45:17.0181308Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_elman_tanh_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:17.0182009Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:17.0548319Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:17.0548840Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:17.0943926Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:17.0944454Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:17.1309284Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:17.1309807Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:17.1375755Z PASSED [ 25%]
2022-05-18T04:45:17.1734071Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_elman_tanh_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:17.1735101Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:17.2102162Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:17.2102682Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:17.2493057Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:17.2493570Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:17.2859509Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:17.2860038Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:17.2926418Z PASSED [ 25%]
2022-05-18T04:45:17.3250697Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_elman_tanh_unilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:17.3274144Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:17.3289405Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:17.3625987Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:17.3648986Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:17.3664882Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:17.3702381Z PASSED [ 25%]
2022-05-18T04:45:17.4026349Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_elman_tanh_unilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:17.4049206Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:17.4065081Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:17.4397734Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:17.4420848Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:17.4436040Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:17.4474821Z PASSED [ 25%]
2022-05-18T04:45:17.4825427Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_elman_tanh_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:17.4826769Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:17.5209185Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:17.5210397Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:17.5605579Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:17.5606555Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:17.5989041Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:17.5990020Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:17.6065283Z PASSED [ 25%]
2022-05-18T04:45:17.6416637Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_elman_tanh_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:17.6417344Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:17.6799619Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:17.6800186Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:17.7200424Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:17.7200969Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:17.7584220Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:17.7584792Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:17.7662184Z PASSED [ 25%]
2022-05-18T04:45:17.8011413Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_elman_tanh_unilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:17.8012113Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:17.8396038Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:17.8396714Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:17.8786332Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:17.8786899Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:17.9166854Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:17.9167601Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:17.9237144Z PASSED [ 26%]
2022-05-18T04:45:17.9584489Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_elman_tanh_unilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:17.9585204Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:17.9966534Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:17.9967071Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:18.0356001Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:18.0356555Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:18.0737208Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:18.0737745Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:18.0808730Z PASSED [ 26%]
2022-05-18T04:45:18.1416743Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_elman_tanh_unilayer_forward_no_initial_state_without_sequence_lengths_with_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:18.1429766Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:18.1443702Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:18.2064533Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:18.2077626Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:18.2091261Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:18.2136225Z PASSED [ 26%]
2022-05-18T04:45:18.2741832Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_elman_tanh_unilayer_forward_no_initial_state_without_sequence_lengths_without_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:18.2754865Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:18.2768700Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:18.3391186Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:18.3404200Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:18.3419826Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:18.3464677Z PASSED [ 26%]
2022-05-18T04:45:18.3808782Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_elman_tanh_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:18.3809535Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:18.4161683Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:18.4162390Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:18.4536811Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:18.4537524Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:18.4890894Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:18.4891621Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:18.4949479Z PASSED [ 26%]
2022-05-18T04:45:18.5296826Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_elman_tanh_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:18.5297557Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:18.5651094Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:18.5651661Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:18.6024191Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:18.6024864Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:18.6379115Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:18.6379809Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:18.6442375Z PASSED [ 26%]
2022-05-18T04:45:18.6786151Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_elman_tanh_unilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:18.6786920Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:18.7140595Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:18.7141268Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:18.7511834Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:18.7512470Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:18.7866445Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:18.7867431Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:18.7921122Z PASSED [ 26%]
2022-05-18T04:45:18.8265291Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_elman_tanh_unilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:18.8266082Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:18.8618421Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:18.8619082Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:18.8988997Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:18.8989540Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:18.9343184Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:18.9343871Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:18.9400539Z PASSED [ 26%]
2022-05-18T04:45:18.9712801Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_elman_tanh_unilayer_forward_with_initial_state_without_sequence_lengths_with_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:18.9724641Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:18.9733426Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:19.0053563Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:19.0065419Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:19.0074101Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:19.0112431Z PASSED [ 27%]
2022-05-18T04:45:19.0422904Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_elman_tanh_unilayer_forward_with_initial_state_without_sequence_lengths_without_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:19.0434497Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:19.0442997Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:19.0763263Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:19.0775051Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:19.0783771Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:19.0818940Z PASSED [ 27%]
2022-05-18T04:45:19.2356609Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_embedding PASSED [ 27%]
2022-05-18T04:45:19.3679784Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_embedding_bag PASSED [ 27%]
2022-05-18T04:45:19.5264941Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_embedding_bag_1d_per_sample_weights PASSED [ 27%]
2022-05-18T04:45:19.7385501Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_embedding_bag_2d_per_sample_weights PASSED [ 27%]
2022-05-18T04:45:19.7408912Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_embedding_bag_dynamic_input SKIPPED [ 27%]
2022-05-18T04:45:19.7642590Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_embedding_model_with_external_data PASSED [ 27%]
2022-05-18T04:45:19.9329009Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_embedding_module PASSED [ 28%]
2022-05-18T04:45:20.0595707Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_embedding_renorm PASSED [ 28%]
2022-05-18T04:45:20.1023838Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_empty_branch PASSED [ 28%]
2022-05-18T04:45:20.1129345Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_empty_constant_shape Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'x.1'. This changes graph semantics.
2022-05-18T04:45:20.1742801Z Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'x.1'. This changes graph semantics.
2022-05-18T04:45:20.2366113Z Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'x.1'. This changes graph semantics.
2022-05-18T04:45:20.3043527Z Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'x.1'. This changes graph semantics.
2022-05-18T04:45:20.3986068Z PASSED [ 28%]
2022-05-18T04:45:20.4137542Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_empty_kwargs PASSED [ 28%]
2022-05-18T04:45:20.4951994Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_eq PASSED [ 28%]
2022-05-18T04:45:20.6296909Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_expand PASSED [ 28%]
2022-05-18T04:45:20.8061613Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_eye PASSED [ 28%]
2022-05-18T04:45:20.8289676Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_fake_quantize_activation WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:20.8295232Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:20.8300848Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:20.8341642Z PASSED [ 29%]
2022-05-18T04:45:20.9151714Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_fake_quantize_per_channel PASSED [ 29%]
2022-05-18T04:45:20.9641942Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_fake_quantize_per_tensor PASSED [ 29%]
2022-05-18T04:45:21.0022411Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_fake_quantize_per_tensor_dynamic_scale_zeropoint PASSED [ 29%]
2022-05-18T04:45:21.9262664Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_faster_rcnn [W LegacyTypeDispatch.h:79] Warning: AutoNonVariableTypeMode is deprecated and will be removed in 1.10 release. For kernel implementations please use AutoDispatchBelowADInplaceOrView instead, If you are looking for a user facing API to enable running your inference-only workload, please use c10::InferenceMode. Using AutoDispatchBelowADInplaceOrView in user code is under risk of producing silent wrong result in some edge cases. See Note [AutoDispatchBelowAutograd] for more details. (function operator())
2022-05-18T04:45:24.8124810Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:24.8125424Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:25.1328709Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:25.1329293Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:35.7710528Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:35.7711075Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:35.9978523Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:35.9979049Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:36.2253576Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:36.2254176Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:43.1805200Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:43.2077201Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:52.5218923Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:52.5549405Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:58.4435187Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:58.4435747Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:58.4570036Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:58.4570591Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:58.4930669Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:58.5133649Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:59.0016163Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:59.0016714Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:59.0099985Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:59.0100697Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:59.0183216Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:59.0183702Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:59.3024398Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:59.3038893Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:59.7064018Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:59.7078884Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:59.8877749Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:59.8878339Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:59.8996806Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:59.9271977Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:59.9272492Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:45:59.9399098Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:46:00.0606452Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:46:00.0607016Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:46:00.0681932Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:46:00.0682438Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:46:00.0755563Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:46:00.0756089Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:46:00.2786088Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:46:00.2788491Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:46:00.6307401Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:46:00.6311227Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:46:06.8166555Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:46:06.8167105Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:46:07.1306188Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:46:07.1306821Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:46:17.6605080Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:46:17.6605626Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:46:17.8846106Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:46:17.8846659Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:46:18.1101332Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:46:18.1101942Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:46:24.9930872Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:46:25.0198200Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:46:34.3581977Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:46:34.3902812Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:46:40.3528380Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:46:40.3528917Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:46:40.3663537Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:46:40.3664048Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:46:40.4007168Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:46:40.4202053Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:46:40.8935155Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:46:40.8935813Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:46:40.9015730Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:46:40.9016242Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:46:40.9095504Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:46:40.9096003Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:46:41.1789124Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:46:41.1803239Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:46:41.5704553Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:46:41.5718464Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:46:41.7490524Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:46:41.7491250Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:46:41.7604205Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:46:41.7604833Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:46:41.7865376Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:46:41.7985643Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:46:41.9143084Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:46:41.9143702Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:46:41.9215203Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:46:41.9215716Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:46:41.9285910Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:46:41.9286454Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:46:42.1218295Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:46:42.1221210Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:46:42.4656234Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:46:42.4658472Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:46:47.3774039Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:46:47.3775268Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:46:57.3203868Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:46:57.3204416Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:46:57.5366346Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:46:57.5367150Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:46:57.7545769Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:46:57.7546305Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:47:04.3160693Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:47:04.3419133Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:47:11.4894721Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:47:11.5196619Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:47:14.7397646Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:47:14.7398216Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:47:14.7666332Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:47:15.2200499Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:47:15.2201043Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:47:15.2284266Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:47:15.2284795Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:47:15.2363639Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:47:15.2364373Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:47:15.4965905Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:47:15.4980114Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:47:15.8372455Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:47:15.8386639Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:47:15.9545506Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:47:15.9546023Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:47:15.9740758Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:47:16.0850697Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:47:16.0851212Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:47:16.0920031Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:47:16.0920600Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:47:16.0988760Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:47:16.0989323Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:47:16.2820831Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:47:16.2824059Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:47:16.5796075Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:47:16.5798919Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:47:22.8027332Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:47:22.8028605Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:47:32.7730602Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:47:32.7731163Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:47:32.9896500Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:47:32.9897116Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:47:33.2087747Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:47:33.2088518Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:47:39.7957389Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:47:39.8216748Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:47:47.0089757Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:47:47.0395382Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:47:50.2754439Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:47:50.2755000Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:47:50.3026131Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:47:50.7560787Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:47:50.7561306Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:47:50.7641445Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:47:50.7641986Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:47:50.7721662Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:47:50.7722219Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:47:51.0349566Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:47:51.0364540Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:47:51.3294087Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:47:51.3308827Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:47:51.4478129Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:47:51.4478650Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:47:51.4675633Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:47:51.5766254Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:47:51.5766764Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:47:51.5835879Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:47:51.5836389Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:47:51.5904959Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:47:51.5905447Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:47:51.7755520Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:47:51.7758079Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:47:52.0250092Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:47:52.0252012Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:47:55.3612551Z PASSED [ 29%]
2022-05-18T04:47:55.4052696Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_fill PASSED [ 29%]
2022-05-18T04:47:55.4737632Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_flatten PASSED [ 29%]
2022-05-18T04:47:55.5077786Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_flatten2d PASSED [ 29%]
2022-05-18T04:47:55.5799897Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_flatten2d_neg PASSED [ 30%]
2022-05-18T04:47:55.6190631Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_flatten_dynamic_axes PASSED [ 30%]
2022-05-18T04:47:55.6488677Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_flip PASSED [ 30%]
2022-05-18T04:47:55.7367800Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_floating_point PASSED [ 30%]
2022-05-18T04:47:55.8773098Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_floating_point_infer_dtype PASSED [ 30%]
2022-05-18T04:47:56.3115302Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_floor_div PASSED [ 30%]
2022-05-18T04:47:56.3422880Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_floor_div_script PASSED [ 30%]
2022-05-18T04:47:56.4989410Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_floordiv PASSED [ 30%]
2022-05-18T04:47:56.5219768Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_fmod PASSED [ 31%]
2022-05-18T04:47:56.5512906Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_fmod_scalar PASSED [ 31%]
2022-05-18T04:47:56.6591674Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_frobenius_norm PASSED [ 31%]
2022-05-18T04:47:56.6971383Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_frobenius_norm_keepdim PASSED [ 31%]
2022-05-18T04:47:56.7451550Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_full_like PASSED [ 31%]
2022-05-18T04:47:56.8061475Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_full_like_value PASSED [ 31%]
2022-05-18T04:47:56.8297102Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_full_script PASSED [ 31%]
2022-05-18T04:47:56.8764076Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_full_trace PASSED [ 31%]
2022-05-18T04:47:56.9054490Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_fuse_addmm PASSED [ 32%]
2022-05-18T04:47:57.0281723Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_fuse_conv_bn1d PASSED [ 32%]
2022-05-18T04:47:57.1592598Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_fuse_conv_bn2d PASSED [ 32%]
2022-05-18T04:47:57.3097927Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_fuse_conv_bn3d PASSED [ 32%]
2022-05-18T04:47:57.4008035Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_fuse_conv_in_block PASSED [ 32%]
2022-05-18T04:47:57.4358069Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_gather PASSED [ 32%]
2022-05-18T04:47:57.4653817Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_gather_constant_fold WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:47:57.4772022Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:47:57.4777536Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:47:57.5079075Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:47:57.5090802Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:47:57.5160067Z Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: '0'. This changes graph semantics.
2022-05-18T04:47:57.5434110Z PASSED [ 32%]
2022-05-18T04:47:57.6280402Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_ge PASSED [ 32%]
2022-05-18T04:47:57.6833594Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_ge_scalar PASSED [ 33%]
2022-05-18T04:47:57.7160984Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_gelu PASSED [ 33%]
2022-05-18T04:47:57.7484683Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_getitem PASSED [ 33%]
2022-05-18T04:47:57.7826685Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_glu PASSED [ 33%]
2022-05-18T04:47:58.4380643Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_grid_sample PASSED [ 33%]
2022-05-18T04:48:07.5522792Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_groupnorm PASSED [ 33%]
2022-05-18T04:48:08.0059680Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_groupnorm_noaffine PASSED [ 33%]
2022-05-18T04:48:08.2130855Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_gru_constant_folding WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:08.2427304Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:08.2588387Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:08.2970654Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:08.3220951Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:08.3368946Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:08.5311560Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:08.5543753Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:08.5673481Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:08.6052588Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:08.6242060Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:08.6350965Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:08.6420173Z PASSED [ 33%]
2022-05-18T04:48:08.8241669Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_gru_no_bias WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:08.8294720Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:08.8359597Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:08.8421199Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:08.8445759Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:08.8476167Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:08.8529559Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:08.8530078Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:08.8535092Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:08.8892272Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:08.8942048Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:08.9001930Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:08.9029328Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:08.9058042Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:08.9092022Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:08.9105717Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:08.9106249Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:08.9111189Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:09.0828115Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:09.0854749Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:09.0888625Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:09.0922926Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:09.0976624Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:09.0989742Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:09.1005768Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:09.1022629Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:09.1071520Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:09.1072090Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:09.1076644Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:09.1080498Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:09.1432891Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:09.1458445Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:09.1489677Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:09.1521524Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:09.1542341Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:09.1556444Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:09.1574186Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:09.1592195Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:09.1602867Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:09.1603537Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:09.1608077Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:09.1612040Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:09.1671150Z PASSED [ 34%]
2022-05-18T04:48:09.3996011Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_gru_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:09.3997373Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:09.4585183Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:09.4586134Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:09.5498942Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:09.5499967Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:09.6245523Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:09.6246505Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:09.8490142Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:09.8491155Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:09.9073823Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:09.9074844Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:09.9952574Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:09.9953572Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:10.0694141Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:10.0695324Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:10.1117098Z PASSED [ 34%]
2022-05-18T04:48:10.3186556Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_gru_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:10.3187295Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:10.3770768Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:10.3771298Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:10.4673922Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:10.4674485Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:10.5413921Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:10.5414476Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:10.7610788Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:10.7611357Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:10.8194903Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:10.8195435Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:10.9080562Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:10.9081111Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:10.9824987Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:10.9825509Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:11.0255020Z PASSED [ 34%]
2022-05-18T04:48:11.2360767Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_gru_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:11.2361708Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:11.2945054Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:11.2945590Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:11.3840824Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:11.3841360Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:11.4584111Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:11.4584833Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:11.6802097Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:11.6802619Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:11.7384741Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:11.7385311Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:11.8269519Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:11.8270085Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:11.9008191Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:11.9436035Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:11.9436574Z PASSED [ 34%]
2022-05-18T04:48:12.1500312Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_gru_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:12.1501019Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:12.2080067Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:12.2080603Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:12.2991162Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:12.2991674Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:12.3727893Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:12.3728427Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:12.5916730Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:12.5917506Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:12.6506683Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:12.7397458Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:12.7398015Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:12.7398536Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:12.8135404Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:12.8135939Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:12.8564238Z PASSED [ 34%]
2022-05-18T04:48:13.0541263Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_gru_trilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:13.0973974Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:13.1205239Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:13.1984377Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:13.2384015Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:13.2650878Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:13.4656897Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:13.5088866Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:13.5301899Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:13.6076502Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:13.6474755Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:13.6736955Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:13.6846319Z PASSED [ 34%]
2022-05-18T04:48:13.8811076Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_gru_trilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:13.9241573Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:13.9470218Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:14.0244159Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:14.0644616Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:14.0906488Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:14.2916833Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:14.3348890Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:14.3557058Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:14.4332497Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:14.4726529Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:14.4988836Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:14.5095971Z PASSED [ 34%]
2022-05-18T04:48:14.6967111Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_gru_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:14.6968080Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:14.7407543Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:14.7408076Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:14.8302500Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:14.8303238Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:14.9010004Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:14.9010530Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:15.1169405Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:15.1169939Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:15.1611595Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:15.1612145Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:15.2481785Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:15.2482313Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:15.3189567Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:15.3190159Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:15.3581055Z PASSED [ 34%]
2022-05-18T04:48:15.5422400Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_gru_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:15.5423097Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:15.5861950Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:15.5862483Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:15.6753761Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:15.6754298Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:15.7469121Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:15.7469654Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:15.9599581Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:15.9600124Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:16.0039914Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:16.0913625Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:16.0914218Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:16.0914773Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:16.1619320Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:16.1619836Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:16.2006174Z PASSED [ 35%]
2022-05-18T04:48:16.3871904Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_gru_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:16.3872673Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:16.4310329Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:16.4310866Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:16.5194100Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:16.5194882Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:16.5902530Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:16.5903063Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:16.8049366Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:16.8049906Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:16.8497185Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:16.8498003Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:16.9355601Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:16.9356142Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:17.0067293Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:17.0067836Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:17.0450841Z PASSED [ 35%]
2022-05-18T04:48:17.2297578Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_gru_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:17.2298300Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:17.2739552Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:17.2740105Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:17.3627375Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:17.3627927Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:17.4335748Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:17.4336290Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:17.6460185Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:17.6460795Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:17.6904162Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:17.6904794Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:17.7774024Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:17.7775032Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:17.8485530Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:17.8486151Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:17.8874646Z PASSED [ 35%]
2022-05-18T04:48:18.0946563Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_gru_trilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:18.1374169Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:18.1607825Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:18.2058576Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:18.2461401Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:18.2703596Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:18.4794307Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:18.5222175Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:18.5417182Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:18.5866921Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:18.6255617Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:18.6497387Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:18.6581234Z PASSED [ 35%]
2022-05-18T04:48:18.8658838Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_gru_trilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:18.9085836Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:18.9312153Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:18.9761407Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:19.0153303Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:19.0395150Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:19.2483135Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:19.2913369Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:19.3110562Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:19.3563066Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:19.3953356Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:19.4196620Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:19.4282642Z PASSED [ 35%]
2022-05-18T04:48:19.5989892Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_gru_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:19.5990590Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:19.6397260Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:19.6397791Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:19.7134892Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:19.7135463Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:19.7678173Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:19.7678847Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:19.9344904Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:19.9345701Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:19.9752330Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:19.9753028Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:20.0462721Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:20.0463389Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:20.1006908Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:20.1007581Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:20.1268746Z PASSED [ 35%]
2022-05-18T04:48:20.2944770Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_gru_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:20.2945492Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:20.3352594Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:20.3353290Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:20.4087824Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:20.4088378Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:20.4635844Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:20.4636451Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:20.6280606Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:20.6281606Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:20.6689620Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:20.6690565Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:20.7387448Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:20.7388474Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:20.7934661Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:20.7935560Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:20.8185033Z PASSED [ 35%]
2022-05-18T04:48:20.9897183Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_gru_trilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:20.9898501Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:21.0309201Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:21.0310201Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:21.1029335Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:21.1030353Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:21.1576557Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:21.1577274Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:21.3225629Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:21.3226414Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:21.3636489Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:21.3637510Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:21.4325110Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:21.4326127Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:21.4870869Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:21.4872079Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:21.5117925Z PASSED [ 35%]
2022-05-18T04:48:21.6792014Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_gru_trilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:21.6792731Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:21.7200409Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:21.7201115Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:21.7917174Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:21.7917878Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:21.8463105Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:21.8463652Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:22.0080841Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:22.0081388Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:22.0488498Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:22.0489025Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:22.1181032Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:22.1181566Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:22.1727838Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:22.1728445Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:22.1975510Z PASSED [ 36%]
2022-05-18T04:48:22.3549855Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_gru_trilayer_forward_no_initial_state_without_sequence_lengths_with_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:22.3782879Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:22.3919424Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:22.4622089Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:22.4813675Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:22.4937452Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:22.6532752Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:22.6764630Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:22.6881602Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:22.7585816Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:22.7776107Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:22.7899798Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:22.7988126Z PASSED [ 36%]
2022-05-18T04:48:22.9560506Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_gru_trilayer_forward_no_initial_state_without_sequence_lengths_without_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:22.9792797Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:22.9929533Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:23.0629970Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:23.0822865Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:23.0947400Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:23.2545511Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:23.2777496Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:23.2893229Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:23.3594505Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:23.3784875Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:23.3909580Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:23.3998532Z PASSED [ 36%]
2022-05-18T04:48:23.5507907Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_gru_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:23.5508608Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:23.5776115Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:23.5776658Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:23.6480767Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:23.6481324Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:23.7002247Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:23.7002772Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:23.8627180Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:23.8627724Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:23.8894821Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:23.8895423Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:23.9569555Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:23.9570108Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:24.0088930Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:24.0089464Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:24.0301656Z PASSED [ 36%]
2022-05-18T04:48:24.1782668Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_gru_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:24.1783399Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:24.2051444Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:24.2051994Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:24.2754094Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:24.2754639Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:24.3269754Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:24.3270268Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:24.4860346Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:24.4860883Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:24.5129569Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:24.5130519Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:24.5807297Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:24.5807839Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:24.6324899Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:24.6325440Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:24.6535921Z PASSED [ 36%]
2022-05-18T04:48:24.8044317Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_gru_trilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:24.8045021Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:24.8311440Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:24.8311970Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:24.9007846Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:24.9008504Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:24.9527904Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:24.9528412Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:25.1145873Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:25.1146424Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:25.1417992Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:25.1418568Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:25.2087690Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:25.2088479Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:25.2605195Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:25.2605741Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:25.2811935Z PASSED [ 36%]
2022-05-18T04:48:25.4289324Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_gru_trilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:25.4290674Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:25.4558757Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:25.4559806Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:25.5252727Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:25.5253748Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:25.5772164Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:25.5773130Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:25.7358875Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:25.7359909Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:25.7627821Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:25.7628818Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:25.8295331Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:25.8296323Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:25.8813904Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:25.8814854Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:25.9025707Z PASSED [ 36%]
2022-05-18T04:48:26.0701970Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_gru_trilayer_forward_with_initial_state_without_sequence_lengths_with_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:26.0933145Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:26.1065359Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:26.1448414Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:26.1636181Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:26.1743492Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:26.3417512Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:26.3648742Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:26.3751401Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:26.4135795Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:26.4322642Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:26.4430207Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:26.4499218Z PASSED [ 36%]
2022-05-18T04:48:26.6173821Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_gru_trilayer_forward_with_initial_state_without_sequence_lengths_without_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:26.6406648Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:26.6538933Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:26.6926657Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:26.7115700Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:26.7223306Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:26.8905842Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:26.9137317Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:26.9239299Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:26.9623869Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:26.9809768Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:26.9916523Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:26.9984583Z PASSED [ 37%]
2022-05-18T04:48:27.1637510Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_gru_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:27.1638228Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:27.1983478Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:27.1984016Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:27.2625782Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:27.2626332Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:27.3105443Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:27.3105983Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:27.4606657Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:27.4607237Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:27.4950498Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:27.4951023Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:27.5562714Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:27.5563338Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:27.6039780Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:27.6040309Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:27.6190349Z PASSED [ 37%]
2022-05-18T04:48:27.7807142Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_gru_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:27.7808158Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:27.8150694Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:27.8151233Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:27.8785699Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:27.8786255Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:27.9263685Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:28.0738155Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:28.0738703Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:28.0739220Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:28.1082688Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:28.1083201Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:28.1698441Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:28.1698982Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:28.2175773Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:28.2176556Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:28.2329177Z PASSED [ 37%]
2022-05-18T04:48:28.3968491Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_gru_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:28.3969217Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:28.4312582Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:28.4313366Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:28.4942989Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:28.4943640Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:28.5420981Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:28.5421706Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:28.6919210Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:28.6919857Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:28.7264122Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:28.7264810Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:28.7871725Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:28.7872409Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:28.8350763Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:28.8351454Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:28.8497470Z PASSED [ 37%]
2022-05-18T04:48:29.0110177Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_gru_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:29.0111146Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:29.0455213Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:29.0455890Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:29.1087488Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:29.1088164Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:29.1568588Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:29.1569160Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:29.3031953Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:29.3032552Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:29.3376229Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:29.3376921Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:29.3980389Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:29.3981068Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:29.4459756Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:29.4460305Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:29.4607802Z PASSED [ 37%]
2022-05-18T04:48:29.6098269Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_gru_unilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:29.6256859Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:29.6350752Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:29.7000275Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:29.7117453Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:29.7190162Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:29.8662248Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:29.8820493Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:29.8894390Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:29.9550816Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:29.9668922Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:29.9741317Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:29.9794150Z PASSED [ 37%]
2022-05-18T04:48:30.1290072Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_gru_unilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:30.1450352Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:30.1545947Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:30.2203537Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:30.2324168Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:30.2396269Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:30.3878368Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:30.4037637Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:30.4110392Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:30.4760833Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:30.4877913Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:30.4949801Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:30.5002309Z PASSED [ 37%]
2022-05-18T04:48:30.6389534Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_gru_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:30.6390251Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:30.6598497Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:30.6599026Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:30.7212344Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:30.7212954Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:30.7663191Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:30.7663733Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:30.9091988Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:30.9092541Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:30.9297053Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:30.9297819Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:30.9887587Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:30.9888219Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:31.0337068Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:31.0337789Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:31.0471550Z PASSED [ 37%]
2022-05-18T04:48:31.1829675Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_gru_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:31.1830383Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:31.2033971Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:31.2034678Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:31.2654459Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:31.2655214Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:31.3106171Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:31.3106874Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:31.4501617Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:31.4502206Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:31.4705358Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:31.4706048Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:31.5293457Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:31.5294145Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:31.5744034Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:31.5744714Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:31.5881402Z PASSED [ 38%]
2022-05-18T04:48:31.7266613Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_gru_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:31.7267557Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:31.7470870Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:31.7471393Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:31.8084645Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:31.8085175Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:31.8536196Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:31.8536894Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:31.9958326Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:31.9958929Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:32.0162831Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:32.0163471Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:32.0747812Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:32.0748516Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:32.1198253Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:32.1199024Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:32.1331899Z PASSED [ 38%]
2022-05-18T04:48:32.2692486Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_gru_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:32.2693272Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:32.2901747Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:32.2902522Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:32.3510749Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:32.3511311Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:32.3962397Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:32.3962933Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:32.5359918Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:32.5360476Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:32.5564223Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:32.5564809Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:32.6147633Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:32.6148661Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:32.6601815Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:32.6602704Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:32.6731370Z PASSED [ 38%]
2022-05-18T04:48:32.8317548Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_gru_unilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:32.8477164Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:32.8576067Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:32.8918058Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:32.9034600Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:32.9101280Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:33.0668731Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:33.0828303Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:33.0899169Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:33.1246252Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:33.1365585Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:33.1432044Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:33.1476468Z PASSED [ 38%]
2022-05-18T04:48:33.3061368Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_gru_unilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:33.3219741Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:33.3318768Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:33.3661550Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:33.3779430Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:33.3846727Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:33.5408785Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:33.5567924Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:33.5637233Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:33.5983455Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:33.6100100Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:33.6166164Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:33.6210043Z PASSED [ 38%]
2022-05-18T04:48:33.7709267Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_gru_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:33.7710893Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:33.7997001Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:33.7997961Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:33.8577428Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:33.8578458Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:33.9000131Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:33.9001072Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:34.0308733Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:34.0309756Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:34.0598202Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:34.0599226Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:34.1153612Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:34.1154636Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:34.1577510Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:34.1578063Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:34.1683970Z PASSED [ 38%]
2022-05-18T04:48:34.3147480Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_gru_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:34.3148188Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:34.3436454Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:34.3437718Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:34.4016838Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:34.4017836Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:34.4439712Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:34.4440574Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:34.5720581Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:34.5721618Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:34.6007476Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:34.6008436Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:34.6560365Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:34.6561391Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:34.6983869Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:34.6984719Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:34.7091825Z PASSED [ 38%]
2022-05-18T04:48:34.8587921Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_gru_unilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:34.8589260Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:34.8876422Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:34.8877419Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:34.9447676Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:34.9448965Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:34.9871847Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:34.9872754Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:35.1181798Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:35.1182826Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:35.1473441Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:35.1474202Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:35.2022886Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:35.2023416Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:35.2446656Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:35.2447185Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:35.2550708Z PASSED [ 38%]
2022-05-18T04:48:35.4022722Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_gru_unilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:35.4023450Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:35.4309375Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:35.4309912Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:35.4882173Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:35.4882705Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:35.5304569Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:35.5305120Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:35.6579478Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:35.6580024Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:35.6865374Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:35.6865910Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:35.7406607Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:35.7407155Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:35.7830766Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:35.7831422Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:35.7930962Z PASSED [ 39%]
2022-05-18T04:48:35.9270458Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_gru_unilayer_forward_no_initial_state_without_sequence_lengths_with_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:35.9364834Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:35.9428882Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:36.0058478Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:36.0116641Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:36.0154127Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:36.1477622Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:36.1571581Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:36.1613932Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:36.2243939Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:36.2302665Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:36.2340184Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:36.2389999Z PASSED [ 39%]
2022-05-18T04:48:36.3727554Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_gru_unilayer_forward_no_initial_state_without_sequence_lengths_without_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:36.3821774Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:36.3884845Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:36.4511291Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:36.4568770Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:36.4606772Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:36.5927732Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:36.6020878Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:36.6062929Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:36.6691090Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:36.6749127Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:36.6786550Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:36.6835764Z PASSED [ 39%]
2022-05-18T04:48:36.8101673Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_gru_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:36.8102380Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:36.8247889Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:36.8248413Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:36.8802610Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:36.8803141Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:36.9198978Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:36.9199518Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:37.0469239Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:37.0469788Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:37.0616349Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:37.1148020Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:37.1148548Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:37.1149068Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:37.1545017Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:37.1545599Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:37.1637656Z PASSED [ 39%]
2022-05-18T04:48:37.2885502Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_gru_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:37.2886239Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:37.3032479Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:37.3033209Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:37.3591949Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:37.3592642Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:37.3987377Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:37.3988271Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:37.5223762Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:37.5224427Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:37.5369863Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:37.5370370Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:37.5903413Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:37.5904131Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:37.6299549Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:37.6300095Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:37.6390158Z PASSED [ 39%]
2022-05-18T04:48:37.7658278Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_gru_unilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:37.7658992Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:37.7804280Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:37.7804999Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:37.8352526Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:37.8353210Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:37.8747262Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:37.8748034Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:37.9999495Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:38.0000170Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:38.0146294Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:38.0146994Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:38.0671390Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:38.0671941Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:38.1067596Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:38.1068573Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:38.1157047Z PASSED [ 39%]
2022-05-18T04:48:38.2405641Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_gru_unilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:38.2406338Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:38.2554609Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:38.2555272Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:38.3115412Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:38.3115975Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:38.3514705Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:38.3515697Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:38.4760426Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:38.4761447Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:38.4908256Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:38.5438553Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:38.5439915Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:38.5440901Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:38.5836832Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:38.5837699Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:38.5928633Z PASSED [ 39%]
2022-05-18T04:48:38.7371351Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_gru_unilayer_forward_with_initial_state_without_sequence_lengths_with_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:38.7464756Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:38.7532081Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:38.7862161Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:38.7919239Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:38.7952014Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:38.9368416Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:38.9463354Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:38.9502213Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:38.9828963Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:38.9885714Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:38.9917695Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:38.9958506Z PASSED [ 39%]
2022-05-18T04:48:39.1395193Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_gru_unilayer_forward_with_initial_state_without_sequence_lengths_without_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:39.1488594Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:39.1556130Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:39.1884114Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:39.1940770Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:39.1972786Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:39.3388042Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:39.3481817Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:39.3520002Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:39.3850279Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:39.3907298Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:39.3939751Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:48:39.3982764Z PASSED [ 40%]
2022-05-18T04:48:39.4843731Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_gt PASSED [ 40%]
2022-05-18T04:48:39.5099941Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_gt_primitive PASSED [ 40%]
2022-05-18T04:48:39.5651081Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_gt_scalar PASSED [ 40%]
2022-05-18T04:48:39.6007144Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_hann_window_default_values PASSED [ 40%]
2022-05-18T04:48:39.6761304Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_hann_window_not_periodic PASSED [ 40%]
2022-05-18T04:48:39.7501505Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_hann_window_periodic PASSED [ 40%]
2022-05-18T04:48:39.8396324Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_hardshrink PASSED [ 40%]
2022-05-18T04:48:39.8981261Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_hardsigmoid PASSED [ 40%]
2022-05-18T04:48:39.9554799Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_hardswish PASSED [ 41%]
2022-05-18T04:48:39.9698775Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_hardswish_script PASSED [ 41%]
2022-05-18T04:48:40.0088910Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_hardtanh PASSED [ 41%]
2022-05-18T04:48:40.0297097Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_hardtanh_script_with_default_values PASSED [ 41%]
2022-05-18T04:48:40.4450742Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_heatmaps_to_keypoints PASSED [ 41%]
2022-05-18T04:48:41.0971710Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_if_fold PASSED [ 41%]
2022-05-18T04:48:41.1217616Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_if_list PASSED [ 41%]
2022-05-18T04:48:41.1575210Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_if_transpose PASSED [ 41%]
2022-05-18T04:48:41.2178631Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_if_view PASSED [ 42%]
2022-05-18T04:48:41.4452011Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_im2col PASSED [ 42%]
2022-05-18T04:48:41.4800227Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_index_1d PASSED [ 42%]
2022-05-18T04:48:41.5449507Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_index_2d_1dimslice PASSED [ 42%]
2022-05-18T04:48:41.6120361Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_index_2d_neg_slice PASSED [ 42%]
2022-05-18T04:48:41.6681578Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_index_2d_sliceint PASSED [ 42%]
2022-05-18T04:48:41.6772161Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_index_add_dim_size_differ Warning: ONNX Preprocess - Removing mutation from node aten::index_add_ on block input: 'x.1'. This changes graph semantics.
2022-05-18T04:48:41.7031525Z Warning: ONNX Preprocess - Removing mutation from node aten::index_add_ on block input: '0'. This changes graph semantics.
2022-05-18T04:48:41.7298651Z PASSED [ 42%]
2022-05-18T04:48:41.7390261Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_index_add_dynamic_axes Warning: ONNX Preprocess - Removing mutation from node aten::index_add_ on block input: 'x.1'. This changes graph semantics.
2022-05-18T04:48:41.7662624Z Warning: ONNX Preprocess - Removing mutation from node aten::index_add_ on block input: '0'. This changes graph semantics.
2022-05-18T04:48:41.7941341Z PASSED [ 42%]
2022-05-18T04:48:41.8048996Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_index_add_if Warning: ONNX Preprocess - Removing mutation from node aten::index_add_ on block input: 'x.1'. This changes graph semantics.
2022-05-18T04:48:41.8050156Z Warning: ONNX Preprocess - Removing mutation from node aten::index_add_ on block input: 'x.1'. This changes graph semantics.
2022-05-18T04:48:41.8344846Z PASSED [ 43%]
2022-05-18T04:48:41.8443575Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_index_add_in_loop Warning: ONNX Preprocess - Removing mutation from node aten::index_add_ on block input: 'x.1'. This changes graph semantics.
2022-05-18T04:48:41.8941174Z Warning: ONNX Preprocess - Removing mutation from node aten::index_add_ on block input: '0'. This changes graph semantics.
2022-05-18T04:48:41.9592987Z PASSED [ 43%]
2022-05-18T04:48:41.9686417Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_index_add_normal Warning: ONNX Preprocess - Removing mutation from node aten::index_add_ on block input: 'x.1'. This changes graph semantics.
2022-05-18T04:48:41.9974394Z Warning: ONNX Preprocess - Removing mutation from node aten::index_add_ on block input: '0'. This changes graph semantics.
2022-05-18T04:48:42.0300845Z Warning: ONNX Preprocess - Removing mutation from node aten::index_add_ on block input: 'x.1'. This changes graph semantics.
2022-05-18T04:48:42.0553567Z Warning: ONNX Preprocess - Removing mutation from node aten::index_add_ on block input: '0'. This changes graph semantics.
2022-05-18T04:48:42.0884816Z Warning: ONNX Preprocess - Removing mutation from node aten::index_add_ on block input: 'x.1'. This changes graph semantics.
2022-05-18T04:48:42.1170972Z Warning: ONNX Preprocess - Removing mutation from node aten::index_add_ on block input: '0'. This changes graph semantics.
2022-05-18T04:48:42.1443278Z PASSED [ 43%]
2022-05-18T04:48:42.1974155Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_index_copy PASSED [ 43%]
2022-05-18T04:48:42.2543556Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_index_fill PASSED [ 43%]
2022-05-18T04:48:42.3281900Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_index_mask PASSED [ 43%]
2022-05-18T04:48:42.3720329Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_index_mask_nd PASSED [ 43%]
2022-05-18T04:48:42.4238684Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_index_put PASSED [ 43%]
2022-05-18T04:48:42.4770605Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_index_put_accumulate PASSED [ 44%]
2022-05-18T04:48:42.9379108Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_index_put_ellipsis PASSED [ 44%]
2022-05-18T04:48:44.0374748Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_index_put_if PASSED [ 44%]
2022-05-18T04:48:46.0193690Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_index_put_if_2 PASSED [ 44%]
2022-05-18T04:48:46.5496017Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_index_put_if_3 PASSED [ 44%]
2022-05-18T04:48:47.2788736Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_index_put_if_4 PASSED [ 44%]
2022-05-18T04:48:47.9954293Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_index_put_if_5 PASSED [ 44%]
2022-05-18T04:48:48.9033304Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_index_put_inplace_ops PASSED [ 44%]
2022-05-18T04:48:53.7547249Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_index_put_loop PASSED [ 45%]
2022-05-18T04:48:53.7665287Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_index_put_singular Warning: ONNX Preprocess - Removing mutation from node aten::index_put_ on block input: 'mask.1'. This changes graph semantics.
2022-05-18T04:48:53.8074180Z Warning: ONNX Preprocess - Removing mutation from node aten::index_put_ on block input: '0'. This changes graph semantics.
2022-05-18T04:48:53.8463449Z Warning: ONNX Preprocess - Removing mutation from node aten::index_put_ on block input: 'mask.1'. This changes graph semantics.
2022-05-18T04:48:53.8792423Z Warning: ONNX Preprocess - Removing mutation from node aten::index_put_ on block input: '0'. This changes graph semantics.
2022-05-18T04:48:53.9095178Z PASSED [ 45%]
2022-05-18T04:48:53.9224747Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_index_put_slice_index Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'update.1'. This changes graph semantics.
2022-05-18T04:48:54.2765922Z Warning: ONNX Preprocess - Removing mutation from node aten::index_put_ on block input: 'x.1'. This changes graph semantics.
2022-05-18T04:48:54.2766491Z Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'update.1'. This changes graph semantics.
2022-05-18T04:48:54.3459847Z Warning: ONNX Preprocess - Removing mutation from node aten::index_put_ on block input: '0'. This changes graph semantics.
2022-05-18T04:48:54.4503685Z Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'update.1'. This changes graph semantics.
2022-05-18T04:48:54.6751009Z Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'update.1'. This changes graph semantics.
2022-05-18T04:48:54.8455322Z Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'update.1'. This changes graph semantics.
2022-05-18T04:48:56.2403686Z PASSED [ 45%]
2022-05-18T04:48:56.3696243Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_index_put_to_masked_fill PASSED [ 45%]
2022-05-18T04:48:56.4500913Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_index_put_to_masked_scatter PASSED [ 45%]
2022-05-18T04:48:56.4866160Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_index_select_constant_scaler_index PASSED [ 45%]
2022-05-18T04:48:56.5318941Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_index_select_scaler_index PASSED [ 45%]
2022-05-18T04:48:56.5476811Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_initializer_sequence PASSED [ 45%]
2022-05-18T04:48:56.5997113Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_initializer_sequence_script_model PASSED [ 46%]
2022-05-18T04:48:56.6083397Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_inplace_arithmetic Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'x.1'. This changes graph semantics.
2022-05-18T04:48:56.6084490Z Warning: ONNX Preprocess - Removing mutation from node aten::mul_ on block input: 'y.1'. This changes graph semantics.
2022-05-18T04:48:56.6376698Z PASSED [ 46%]
2022-05-18T04:48:56.6478980Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_inplace_arithmetic_half Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'x.1'. This changes graph semantics.
2022-05-18T04:48:56.6665887Z Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: '0'. This changes graph semantics.
2022-05-18T04:48:56.6911527Z Warning: ONNX Preprocess - Removing mutation from node aten::mul_ on block input: 'x.1'. This changes graph semantics.
2022-05-18T04:48:56.7062814Z Warning: ONNX Preprocess - Removing mutation from node aten::mul_ on block input: '0'. This changes graph semantics.
2022-05-18T04:48:56.7203683Z PASSED [ 46%]
2022-05-18T04:48:57.0373068Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_inplace_attr_copy_with_loop PASSED [ 46%]
2022-05-18T04:48:57.1263339Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_inplace_attr_with_loop PASSED [ 46%]
2022-05-18T04:48:57.1367377Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_inplace_fill Warning: ONNX Preprocess - Removing mutation from node aten::fill_ on block input: 'x.1'. This changes graph semantics.
2022-05-18T04:48:57.1660600Z Warning: ONNX Preprocess - Removing mutation from node aten::fill_ on block input: '0'. This changes graph semantics.
2022-05-18T04:48:57.2012837Z Warning: ONNX Preprocess - Removing mutation from node aten::fill_ on block input: 'x.1'. This changes graph semantics.
2022-05-18T04:48:57.2295015Z Warning: ONNX Preprocess - Removing mutation from node aten::fill_ on block input: '0'. This changes graph semantics.
2022-05-18T04:48:57.2568202Z PASSED [ 46%]
2022-05-18T04:48:57.2662260Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_inplace_list Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'x.1'. This changes graph semantics.
2022-05-18T04:48:57.2662914Z Warning: ONNX Preprocess - Removing mutation from node aten::fill_ on block input: 'y.1'. This changes graph semantics.
2022-05-18T04:48:57.3191937Z Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'x.1'. This changes graph semantics.
2022-05-18T04:48:57.3192493Z Warning: ONNX Preprocess - Removing mutation from node aten::fill_ on block input: 'y.1'. This changes graph semantics.
2022-05-18T04:48:57.3671544Z PASSED [ 46%]
2022-05-18T04:48:57.6073283Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_inplace_sequence_with_loop PASSED [ 46%]
2022-05-18T04:48:57.6717222Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_inplace_with_loop PASSED [ 47%]
2022-05-18T04:48:58.0089976Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_inplace_with_loop_2 PASSED [ 47%]
2022-05-18T04:48:58.0194253Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_inplace_zero Warning: ONNX Preprocess - Removing mutation from node aten::zero_ on block input: 'x.1'. This changes graph semantics.
2022-05-18T04:48:58.0453162Z Warning: ONNX Preprocess - Removing mutation from node aten::zero_ on block input: '0'. This changes graph semantics.
2022-05-18T04:48:58.0772197Z Warning: ONNX Preprocess - Removing mutation from node aten::zero_ on block input: 'x.1'. This changes graph semantics.
2022-05-18T04:48:58.1022964Z Warning: ONNX Preprocess - Removing mutation from node aten::zero_ on block input: '0'. This changes graph semantics.
2022-05-18T04:48:58.1266838Z PASSED [ 47%]
2022-05-18T04:48:58.3670231Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_input_mask_model Warning: ONNX Preprocess - Removing mutation from node aten::index_put_ on block input: 'y.1'. This changes graph semantics.
2022-05-18T04:48:58.4741137Z Warning: ONNX Preprocess - Removing mutation from node aten::index_put_ on block input: '2'. This changes graph semantics.
2022-05-18T04:48:58.5413886Z PASSED [ 47%]
2022-05-18T04:48:58.8125419Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_instancenorm1d_norunningstats PASSED [ 47%]
2022-05-18T04:48:59.0036121Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_instancenorm1d_runningstats PASSED [ 47%]
2022-05-18T04:48:59.2756024Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_instancenorm2d_norunningstats PASSED [ 47%]
2022-05-18T04:48:59.5035393Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_instancenorm2d_runningstats PASSED [ 47%]
2022-05-18T04:49:07.2706120Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_instancenorm3d_norunningstats PASSED [ 48%]
2022-05-18T04:49:15.2792299Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_instancenorm3d_runningstats PASSED [ 48%]
2022-05-18T04:49:16.4051672Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_instancenorm_eval_mode_train_layer PASSED [ 48%]
2022-05-18T04:49:17.2429613Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_instancenorm_training PASSED [ 48%]
2022-05-18T04:49:18.1130884Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_instancenorm_training_mode_fix_layer PASSED [ 48%]
2022-05-18T04:49:18.1291361Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_interpolate_adaptive_pooling_error WARNING: The shape inference of aten::adaptive_avg_pool1d type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:18.1292561Z WARNING: The shape inference of aten::adaptive_avg_pool1d type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:18.1295990Z WARNING: The shape inference of aten::adaptive_avg_pool1d type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:18.1296990Z WARNING: The shape inference of aten::adaptive_avg_pool1d type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:18.1878971Z PASSED [ 48%]
2022-05-18T04:49:18.2298108Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_interpolate_downsample WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:18.2299187Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:18.2333602Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:18.2336435Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:18.2344860Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:18.2345754Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:18.2348943Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:18.2349788Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:18.2382865Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:18.2383843Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:18.2387367Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:18.2388312Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:18.2534995Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:18.2535910Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:18.2625473Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:18.2626342Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:18.2634426Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:18.2635353Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:18.2639261Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:18.2640470Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:18.2646715Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:18.2648070Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:18.2651212Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:18.2652258Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:18.3069620Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:18.3070519Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:18.3108222Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:18.3109089Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:18.3119474Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:18.3120937Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:18.3124722Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:18.3125589Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:18.3160248Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:18.3161319Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:18.3172456Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:18.3173405Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:18.3314679Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:18.3315345Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:18.3404048Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:18.3404747Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:18.3411621Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:18.3412445Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:18.3415638Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:18.3416334Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:18.3421534Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:18.3422154Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:18.3424644Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:18.3425163Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:18.3849629Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:18.3884129Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:18.3891795Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:18.3895303Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:18.3928528Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:18.3929569Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:18.4063254Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:18.4150793Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:18.4156006Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:18.4158053Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:18.4161497Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:18.4162637Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:18.4568501Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:18.4569076Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:18.4603210Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:18.4603773Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:18.4613559Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:18.4614059Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:18.4617671Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:18.4618147Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:18.4652436Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:18.4652943Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:18.4656243Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:18.4656736Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:18.4804924Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:18.4805428Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:18.4894104Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:18.4894720Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:18.4902204Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:18.4902774Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:18.4906236Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:18.4906781Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:18.4912297Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:18.4912844Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:18.4916260Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:18.4916833Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:18.5333450Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:18.5333996Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:18.5368584Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:18.5369110Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:18.5379043Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:18.5379549Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:18.5383556Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:18.5384083Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:18.5418646Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:18.5419139Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:18.5422414Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:18.5422906Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:18.5570991Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:18.5571500Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:18.5660327Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:18.5660847Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:18.5668793Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:18.5669288Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:18.5672676Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:18.5673352Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:18.5678375Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:18.5678895Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:18.5681784Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:18.5682276Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:18.6089115Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:18.6124247Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:18.6131277Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:18.6134837Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:18.6168325Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:18.6169217Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:18.6307125Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:18.6394769Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:18.6400474Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:18.6402578Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:18.6406007Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:18.6407057Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:18.6823310Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:18.6824205Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:18.6858599Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:18.6859632Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:18.6869294Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:18.6870144Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:18.6873325Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:18.6874174Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:18.6910515Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:18.6911345Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:18.6914034Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:18.6914862Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:18.7083453Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:18.7084406Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:18.7173189Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:18.7174085Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:18.7182305Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:18.7183715Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:18.7187554Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:18.7188736Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:18.7194825Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:18.7195996Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:18.7199504Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:18.7200837Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:18.7632516Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:18.7633476Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:18.7669211Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:18.7670194Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:18.7679650Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:18.7680563Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:18.7683999Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:18.7684850Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:18.7720587Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:18.7721438Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:18.7724867Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:18.7725720Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:18.7891509Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:18.7892642Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:18.7983674Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:18.7984531Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:18.7991865Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:18.7992704Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:18.7995962Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:18.7996913Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:18.8002869Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:18.8003705Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:18.8006706Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:18.8007532Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:18.8425073Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:18.8460931Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:18.8467989Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:18.8471813Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:18.8505732Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:18.8507178Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:18.8647741Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:18.8735918Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:18.8742128Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:18.8744811Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:18.8748408Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:18.8750319Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:18.9159628Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:18.9160504Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:18.9195548Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:18.9196612Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:18.9205764Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:18.9206619Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:18.9209801Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:18.9210661Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:18.9241908Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:18.9242743Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:18.9245983Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:18.9246823Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:18.9428170Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:18.9429023Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:18.9545207Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:18.9546063Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:18.9553426Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:18.9554438Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:18.9557345Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:18.9558179Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:18.9563335Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:18.9564174Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:18.9567235Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:18.9568077Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:19.0013076Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:19.0013561Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:19.0049582Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:19.0050138Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:19.0059915Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:19.0060623Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:19.0064812Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:19.0065519Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:19.0096070Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:19.0096602Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:19.0099780Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:19.0100269Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:19.0281379Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:19.0281898Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:19.0398914Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:19.0399441Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:19.0406928Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:19.0407418Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:19.0410842Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:19.0411332Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:19.0417135Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:19.0417623Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:19.0420507Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:19.0421015Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:19.0840899Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:19.0841409Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:19.0875459Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:19.0876018Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:19.0885562Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:19.0886140Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:19.0889429Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:19.0889913Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:19.0920952Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:19.0921733Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:19.0924511Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:19.0925223Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:19.1105555Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:19.1106145Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:19.1222772Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:19.1223295Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:19.1230590Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:19.1231091Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:19.1234556Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:19.1235035Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:19.1240640Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:19.1241130Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:19.1244694Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:19.1245228Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:19.1651676Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:19.1686949Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:19.1694487Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:19.1697917Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:19.1727364Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:19.1728647Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:19.1896453Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:19.2011264Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:19.2017109Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:19.2019273Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:19.2022927Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:19.2023976Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:19.2417306Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:19.2452252Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:19.2459790Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:19.2462756Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:19.2494273Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:19.2496614Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:19.2662883Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:19.2778364Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:19.2783845Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:19.2786162Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:19.2789876Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:19.2790706Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:19.3193397Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:19.3193909Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:19.3228799Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:19.3229348Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:19.3239193Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:19.3239962Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:19.3243119Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:19.3243749Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:19.3271946Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:19.3272675Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:19.3275799Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:19.3276483Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:19.3460017Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:19.3460716Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:19.3577268Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:19.3577914Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:19.3584891Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:19.3585464Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:19.3588708Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:19.3589471Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:19.3594391Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:19.3595123Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:19.3597809Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:19.3598498Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:19.4046844Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:19.4047513Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:19.4081900Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:19.4082393Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:19.4092322Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:19.4092824Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:19.4096594Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:19.4097084Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:19.4125105Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:19.4125582Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:19.4128781Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:19.4129277Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:19.4318065Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:19.4318650Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:19.4434149Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:19.4434881Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:19.4442491Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:19.4442982Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:19.4446459Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:19.4446949Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:19.4452682Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:19.4453269Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:19.4456442Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:19.4456925Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:19.4883679Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:19.4884184Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:19.4918463Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:19.4919018Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:19.4929807Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:19.4930336Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:19.4933847Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:19.4934404Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:19.4963425Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:19.4963929Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:19.4966730Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:19.4967461Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:19.5154929Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:19.5155454Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:19.5272319Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:19.5272851Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:19.5280091Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:19.5280783Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:19.5283878Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:19.5284364Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:19.5289823Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:19.5290314Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:19.5293174Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:19.5293726Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:19.5710734Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:19.5745220Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:19.5752910Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:19.5756239Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:19.5784304Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:19.5785800Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:19.5956870Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:19.6071958Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:19.6077820Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:19.6080001Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:19.6083698Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:19.6084946Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:19.6488305Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:19.6523894Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:19.6531227Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:19.6534746Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:19.6561293Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:19.6562589Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:19.6732248Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:19.6847914Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:19.6853303Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:19.6855675Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:19.6859202Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:19.6860203Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:19.6898528Z PASSED [ 48%]
2022-05-18T04:49:19.7209675Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_interpolate_function_substitution WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:19.7219134Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:19.7244810Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:19.7545660Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:19.7554501Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:19.7579638Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:19.7782795Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:19.7792914Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:19.7799234Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:19.7830171Z PASSED [ 48%]
2022-05-18T04:49:19.8257489Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_interpolate_no_shape WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:19.8258176Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:19.8382975Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:19.8383744Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:19.8392146Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:19.8392660Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:19.8399188Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:19.8399758Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:19.8433611Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:19.8434166Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:19.8441154Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:19.8441713Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:19.8811961Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:19.8812571Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:19.8942810Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:19.8943355Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:19.8951952Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:19.8952484Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:19.8958629Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:19.8959126Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:19.8969829Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:19.8970407Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:19.8973139Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:19.8973708Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:19.9024222Z PASSED [ 49%]
2022-05-18T04:49:19.9417000Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_interpolate_upsample WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:19.9417607Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:19.9451440Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:19.9452013Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:19.9461804Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:19.9462319Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:19.9465643Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:19.9466272Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:19.9499604Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:19.9500112Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:19.9502973Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:19.9503444Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:19.9647564Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:19.9648178Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:19.9736525Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:19.9737020Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:19.9743827Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:19.9744337Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:19.9747697Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:19.9748189Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:19.9753660Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:19.9754132Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:19.9757338Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:19.9757824Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.0169072Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.0169571Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.0204542Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.0205186Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.0214864Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.0215359Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.0218831Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.0219319Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.0252864Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.0253355Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.0256608Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.0257096Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.0401056Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.0401549Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.0490324Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.0490812Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.0497821Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.0498347Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.0501901Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.0502446Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.0507829Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.0508388Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.0511198Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.0511798Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.0912549Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.0947476Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.0954630Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.0957971Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.0990794Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.0992198Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.1122493Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.1209720Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.1215275Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.1217901Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.1221720Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.1222788Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.1625271Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.1625826Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.1660870Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.1661444Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.1671139Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.1671891Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.1675216Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.1675912Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.1710068Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.1710759Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.1714037Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.1714722Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.1864186Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.1864700Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.1953248Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.1953745Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.1960816Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.1961446Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.1964429Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.1964925Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.1970729Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.1971261Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.1974229Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.1974889Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.2399487Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.2400021Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.2434265Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.2434754Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.2444849Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.2445347Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.2448863Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.2449358Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.2485779Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.2486268Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.2489202Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.2489697Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.2644559Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.2645042Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.2733427Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.2733920Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.2742280Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.2742777Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.2745822Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.2746308Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.2752361Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.2752914Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.2756415Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.2756999Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.3175073Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.3210412Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.3218660Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.3222499Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.3255981Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.3256797Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.3395193Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.3483052Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.3488716Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.3491507Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.3494804Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.3496106Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.3912215Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.3913114Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.3950220Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.3951058Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.3960912Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.3961771Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.3965127Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.3965970Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.4003375Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.4004206Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.4007048Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.4008012Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.4182978Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.4183843Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.4271999Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.4272861Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.4280310Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.4281153Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.4284722Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.4285551Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.4291688Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.4292729Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.4296336Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.4297294Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.4731997Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.4733290Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.4768779Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.4769642Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.4780076Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.4781116Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.4785005Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.4786202Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.4823318Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.4824199Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.4827349Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.4828189Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.4998976Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.4999829Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.5088018Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.5089094Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.5097300Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.5098186Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.5101346Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.5102204Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.5107859Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.5108897Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.5111794Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.5112649Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.5534287Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.5569733Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.5577817Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.5581996Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.5618689Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.5621348Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.5763641Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.5851853Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.5858382Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.5860649Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.5864384Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.5865884Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.6274876Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.6275739Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.6314346Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.6315476Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.6326289Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.6327788Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.6331480Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.6332809Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.6364529Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.6365400Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.6368146Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.6369160Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.6550152Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.6551020Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.6667032Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.6667892Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.6675416Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.6676257Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.6679555Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.6680395Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.6685808Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.6686660Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.6689514Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.6690346Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.7140514Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.7141189Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.7176548Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.7177076Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.7186846Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.7187344Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.7191289Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.7191794Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.7222932Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.7223423Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.7226780Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.7227280Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.7409733Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.7410254Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.7526850Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.7527333Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.7535318Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.7535809Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.7539628Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.7540124Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.7545902Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.7546557Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.7549606Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.7550094Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.7977266Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.7977770Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.8012625Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.8013122Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.8023246Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.8023738Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.8027465Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.8027962Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.8060080Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.8060593Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.8063835Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.8064310Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.8246994Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.8247491Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.8364354Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.8364891Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.8372259Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.8372764Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.8376534Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.8377032Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.8382778Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.8383268Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.8386524Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.8387016Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.8796279Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.8831967Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.8839439Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.8843308Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.8873430Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.8874713Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.9043913Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.9159579Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.9165188Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.9167640Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.9171379Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.9172450Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.9570101Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.9605830Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.9613837Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.9617644Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.9647508Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.9648662Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.9818361Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.9933344Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.9939479Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.9941441Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.9945531Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:20.9946751Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:21.0352524Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:21.0353486Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:21.0388578Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:21.0389121Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:21.0398392Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:21.0398894Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:21.0402452Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:21.0402951Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:21.0430461Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:21.0430979Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:21.0433729Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:21.0434269Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:21.0621207Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:21.0621736Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:21.0738423Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:21.0738933Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:21.0745947Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:21.0746436Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:21.0749570Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:21.0750048Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:21.0755345Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:21.0755829Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:21.0758636Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:21.0759126Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:21.1208149Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:21.1208686Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:21.1243478Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:21.1244052Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:21.1254269Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:21.1254940Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:21.1258228Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:21.1258715Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:21.1286202Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:21.1286793Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:21.1289392Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:21.1289862Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:21.1478837Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:21.1479383Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:21.1596344Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:21.1597200Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:21.1604930Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:21.1605872Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:21.1609658Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:21.1610605Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:21.1617210Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:21.1618155Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:21.1621497Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:21.1622460Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:21.2050656Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:21.2051678Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:21.2087550Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:21.2088390Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:21.2098913Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:21.2100297Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:21.2103889Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:21.2104700Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:21.2135829Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:21.2136789Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:21.2139853Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:21.2140742Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:21.2332617Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:21.2333522Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:21.2450618Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:21.2451525Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:21.2459557Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:21.2460508Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:21.2464244Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:21.2465466Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:21.2471408Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:21.2471935Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:21.2474692Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:21.2887578Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:21.2888096Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:21.2922977Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:21.2930007Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:21.2933589Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:21.2959943Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:21.2961153Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:21.3131398Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:21.3246874Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:21.3252295Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:21.3254696Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:21.3258372Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:21.3260393Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:21.3654130Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:21.3688871Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:21.3696541Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:21.3699749Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:21.3726311Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:21.3727566Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:21.3897167Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:21.4012124Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:21.4018063Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:21.4020600Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:21.4024300Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:21.4025264Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:49:21.4062042Z PASSED [ 49%]
2022-05-18T04:49:21.4085413Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_interpolate_upsample_trace SKIPPED [ 49%]
2022-05-18T04:49:21.4338995Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_isfinite PASSED [ 49%]
2022-05-18T04:49:21.4568294Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_isinf PASSED [ 49%]
2022-05-18T04:49:21.4789936Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_isnan PASSED [ 49%]
2022-05-18T04:49:21.5080154Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_item PASSED [ 49%]
2022-05-18T04:49:21.5097371Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_keypoint_rcnn SKIPPED [ 49%]
2022-05-18T04:49:22.2354040Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_kldiv_loss PASSED [ 50%]
2022-05-18T04:49:22.2775024Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_l1_norm PASSED [ 50%]
2022-05-18T04:49:22.3187505Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_l2_norm PASSED [ 50%]
2022-05-18T04:49:59.9764327Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_large_model_with_external_data PASSED [ 50%]
2022-05-18T04:50:24.6112881Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_large_model_with_non_str_file PASSED [ 50%]
2022-05-18T04:50:24.6672726Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_layer_norm PASSED [ 50%]
2022-05-18T04:50:24.7505566Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_le PASSED [ 50%]
2022-05-18T04:50:24.8051415Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_le_scalar PASSED [ 50%]
2022-05-18T04:50:24.8326543Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_len PASSED [ 51%]
2022-05-18T04:50:24.8580718Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_len_list PASSED [ 51%]
2022-05-18T04:50:24.9380156Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_linalg_cross PASSED [ 51%]
2022-05-18T04:50:25.5985764Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_linalg_matrix_norm PASSED [ 51%]
2022-05-18T04:50:26.6415261Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_linalg_norm PASSED [ 51%]
2022-05-18T04:50:27.5056388Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_linalg_vector_norm PASSED [ 51%]
2022-05-18T04:50:27.5496250Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_linalg_vector_norm_zero PASSED [ 51%]
2022-05-18T04:50:27.6304129Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_linear PASSED [ 51%]
2022-05-18T04:50:27.6749651Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_linspace PASSED [ 52%]
2022-05-18T04:50:27.7194924Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_linspace_negative_start PASSED [ 52%]
2022-05-18T04:50:27.8112969Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_list PASSED [ 52%]
2022-05-18T04:50:27.8238880Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_list_append Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'res.11'. This changes graph semantics.
2022-05-18T04:50:27.8615481Z PASSED [ 52%]
2022-05-18T04:50:27.9057125Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_list_append_in_block PASSED [ 52%]
2022-05-18T04:50:27.9643938Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_list_append_in_nested_block PASSED [ 52%]
2022-05-18T04:50:27.9774920Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_list_append_nested Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'res.11'. This changes graph semantics.
2022-05-18T04:50:28.0290382Z PASSED [ 52%]
2022-05-18T04:50:28.1177731Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_list_append_nested_2 PASSED [ 52%]
2022-05-18T04:50:28.1879918Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_list_append_nested_mixed_dtype PASSED [ 53%]
2022-05-18T04:50:28.2009823Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_list_del Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'res.13'. This changes graph semantics.
2022-05-18T04:50:28.2444489Z PASSED [ 53%]
2022-05-18T04:50:28.3240551Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_list_del_in_block PASSED [ 53%]
2022-05-18T04:50:28.3386327Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_list_del_nested Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'res.19'. This changes graph semantics.
2022-05-18T04:50:28.4071419Z PASSED [ 53%]
2022-05-18T04:50:28.4669499Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_list_idx_sum PASSED [ 53%]
2022-05-18T04:50:29.2350351Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_list_pass PASSED [ 53%]
2022-05-18T04:50:29.2480607Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_list_pop Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'res.13'. This changes graph semantics.
2022-05-18T04:50:29.2917478Z PASSED [ 53%]
2022-05-18T04:50:29.3822940Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_list_pop_in_block PASSED [ 53%]
2022-05-18T04:50:29.3970820Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_list_pop_nested Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'res.19'. This changes graph semantics.
2022-05-18T04:50:29.4691018Z PASSED [ 54%]
2022-05-18T04:50:29.5189592Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_list_set PASSED [ 54%]
2022-05-18T04:50:29.5662711Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_list_unpack PASSED [ 54%]
2022-05-18T04:50:29.7136929Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_listunpack PASSED [ 54%]
2022-05-18T04:50:29.7356617Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_log PASSED [ 54%]
2022-05-18T04:50:29.7590207Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_log10 PASSED [ 54%]
2022-05-18T04:50:29.7825714Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_log1p PASSED [ 54%]
2022-05-18T04:50:29.8052247Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_logdet PASSED [ 54%]
2022-05-18T04:50:29.8952558Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_logical_and PASSED [ 55%]
2022-05-18T04:50:29.9844532Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_logical_or PASSED [ 55%]
2022-05-18T04:50:30.0738759Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_logical_xor PASSED [ 55%]
2022-05-18T04:50:30.2339066Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_logsoftmax PASSED [ 55%]
2022-05-18T04:50:30.4449221Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_logsoftmax_dim PASSED [ 55%]
2022-05-18T04:50:30.4816788Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_logsoftmax_dtype PASSED [ 55%]
2022-05-18T04:50:30.5488480Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_loop_dynamic PASSED [ 55%]
2022-05-18T04:50:30.6043265Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_loop_multi_dim PASSED [ 55%]
2022-05-18T04:50:30.7268800Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_loop_nested PASSED [ 56%]
2022-05-18T04:50:30.7395859Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_loop_transpose Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'res.11'. This changes graph semantics.
2022-05-18T04:50:30.7840125Z PASSED [ 56%]
2022-05-18T04:50:30.8008460Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_loop_with_list Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'res4.11'. This changes graph semantics.
2022-05-18T04:50:30.8009190Z Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'res2.11'. This changes graph semantics.
2022-05-18T04:50:30.9280139Z PASSED [ 56%]
2022-05-18T04:50:31.0790844Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_lower_tuple PASSED [ 56%]
2022-05-18T04:50:31.0984021Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_lower_tuple_2 PASSED [ 56%]
2022-05-18T04:50:31.2748254Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_lower_tuple_3 PASSED [ 56%]
2022-05-18T04:50:31.4515400Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_lstm WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:31.4609205Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:31.4687209Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:31.5058151Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:31.5115565Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:31.5148146Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:31.5187435Z PASSED [ 56%]
2022-05-18T04:50:31.5688826Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_lstm_cell WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:31.5779864Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:31.5841071Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:31.7056091Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:31.7079650Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:31.7124855Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:31.7137831Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:31.7172705Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:31.7173480Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:31.7922529Z PASSED [ 56%]
2022-05-18T04:50:32.0084144Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_lstm_constant_folding WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:32.0391971Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:32.0571788Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:32.1012377Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:32.1273139Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:32.1426009Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:32.3486845Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:32.3734898Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:32.3888398Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:32.4328064Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:32.4529510Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:32.4649446Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:32.4736241Z PASSED [ 57%]
2022-05-18T04:50:32.6380617Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_lstm_default_init_state WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:32.6476906Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:32.6551622Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:32.7463947Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:32.7523337Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:32.7570185Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:32.7632647Z PASSED [ 57%]
2022-05-18T04:50:32.9318453Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_lstm_fixed_batch_size WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:32.9412588Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:32.9496827Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:33.0404216Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:33.0463108Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:33.0499532Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:33.0550736Z PASSED [ 57%]
2022-05-18T04:50:33.2348350Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_lstm_no_bias WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:33.2402104Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:33.2449610Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:33.2475633Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:33.2539485Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:33.2540000Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:33.2920594Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:33.2969099Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:33.2985302Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:33.3012537Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:33.3021911Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:33.3022488Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:33.4723030Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:33.4749946Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:33.4789093Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:33.4802283Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:33.4859803Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:33.4860593Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:33.5221621Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:33.5245933Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:33.5254720Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:33.5268002Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:33.5274559Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:33.5275095Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:33.7212493Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:33.7266290Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:33.7335579Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:33.7401705Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:33.7427114Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:33.7459423Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:33.7533261Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:33.7533755Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:33.7540530Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:33.7959928Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:33.8010201Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:33.8074792Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:33.8107568Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:33.8136765Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:33.8173487Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:33.8190945Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:33.8191443Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:33.8198095Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:34.0043800Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:34.0071129Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:34.0109771Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:34.0147440Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:34.0206796Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:34.0220593Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:34.0238405Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:34.0256738Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:34.0326614Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:34.0327198Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:34.0333586Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:34.0339428Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:34.0759966Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:34.0785542Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:34.0821921Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:34.0857533Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:34.0884341Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:34.0899092Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:34.0918635Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:34.0938740Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:34.0952337Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:34.0952896Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:34.0959280Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:34.0965006Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:34.1041548Z PASSED [ 57%]
2022-05-18T04:50:34.2998024Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_lstm_no_hidden WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:34.3098556Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:34.3178835Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:34.4104518Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:34.4166121Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:34.4211814Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:34.4277904Z PASSED [ 57%]
2022-05-18T04:50:34.5971682Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_lstm_post_fix_init_state WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:34.6074214Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:34.6157658Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:34.7075718Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:34.7146078Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:34.7184812Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:34.7248363Z PASSED [ 57%]
2022-05-18T04:50:34.9312960Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_lstm_proj_no_hidden WARNING: The shape inference of aten::lstm type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:34.9314216Z WARNING: The shape inference of aten::lstm type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:34.9315543Z WARNING: The shape inference of aten::lstm type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:34.9359766Z WARNING: The shape inference of aten::lstm type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:34.9360877Z WARNING: The shape inference of aten::lstm type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:34.9361939Z WARNING: The shape inference of aten::lstm type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:34.9386094Z PASSED [ 57%]
2022-05-18T04:50:35.2808021Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_lstm_sequence WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:35.3311318Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:35.3532974Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:35.3595084Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:35.3785962Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:35.3795613Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:35.4991259Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:35.5910584Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:35.6097270Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:35.6177102Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:35.6269881Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:35.6281610Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:35.6376976Z PASSED [ 57%]
2022-05-18T04:50:35.6843861Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_lstm_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:35.6844575Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:35.7655607Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:35.7656171Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:35.8585386Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:35.8586042Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:35.9397896Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:35.9398636Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:35.9897358Z PASSED [ 58%]
2022-05-18T04:50:36.0359766Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_lstm_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:36.0360484Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:36.1172191Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:36.1172877Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:36.2106655Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:36.2107401Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:36.2919158Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:36.2919943Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:36.3416088Z PASSED [ 58%]
2022-05-18T04:50:36.3879743Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_lstm_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:36.3880542Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:36.4690466Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:36.4691404Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:36.5611905Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:36.5612612Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:36.6425283Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:36.6425979Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:36.6916887Z PASSED [ 58%]
2022-05-18T04:50:36.7378511Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_lstm_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:36.7379245Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:36.8188415Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:36.8188969Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:36.9105332Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:36.9105872Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:36.9921246Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:36.9921772Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:37.0411802Z PASSED [ 58%]
2022-05-18T04:50:37.1394310Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_lstm_trilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:37.1817489Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:37.2112698Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:37.3207522Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:37.3626939Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:37.3918909Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:37.4060677Z PASSED [ 58%]
2022-05-18T04:50:37.5043638Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_lstm_trilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:37.5461337Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:37.5752174Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:37.6842342Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:37.7262575Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:37.7553539Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:37.7692405Z PASSED [ 58%]
2022-05-18T04:50:37.8150197Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_lstm_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:37.8150927Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:37.8903022Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:37.8903540Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:37.9738701Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:37.9739516Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:38.0495554Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:38.0918555Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:38.0919089Z PASSED [ 58%]
2022-05-18T04:50:38.1379437Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_lstm_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:38.1380377Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:38.2132471Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:38.2133000Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:38.2972013Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:38.2972563Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:38.3733135Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:38.3734101Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:38.4149557Z PASSED [ 58%]
2022-05-18T04:50:38.4609604Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_lstm_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:38.4610965Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:38.5368776Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:38.5369723Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:38.6204840Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:38.6205856Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:38.6964668Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:38.6965645Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:38.7372652Z PASSED [ 59%]
2022-05-18T04:50:38.7828866Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_lstm_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:38.7830198Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:38.8584657Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:38.8585850Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:38.9411738Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:38.9412763Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:39.0168631Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:39.0169557Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:39.0577387Z PASSED [ 59%]
2022-05-18T04:50:39.1026107Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_lstm_trilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:39.1441743Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:39.1697268Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:39.2205219Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:39.2617608Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:39.2872990Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:39.2968891Z PASSED [ 59%]
2022-05-18T04:50:39.3419183Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_lstm_trilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:39.3834371Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:39.4088809Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:39.4599393Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:39.5017780Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:39.5273483Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:39.5370252Z PASSED [ 59%]
2022-05-18T04:50:39.5788025Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_lstm_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:39.5789353Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:39.6405970Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:39.6406907Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:39.7111449Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:39.7112458Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:39.7727218Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:39.7728121Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:39.8052848Z PASSED [ 59%]
2022-05-18T04:50:39.8465301Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_lstm_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:39.8466620Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:39.9078867Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:39.9079816Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:39.9782647Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:39.9783237Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:40.0397726Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:40.0398274Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:40.0722772Z PASSED [ 59%]
2022-05-18T04:50:40.1134343Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_lstm_trilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:40.1135406Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:40.1748746Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:40.1749297Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:40.2446763Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:40.2447316Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:40.3062822Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:40.3063578Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:40.3380056Z PASSED [ 59%]
2022-05-18T04:50:40.3791374Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_lstm_trilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:40.3792112Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:40.4405656Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:40.4406185Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:40.5102816Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:40.5103400Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:40.5714925Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:40.5715446Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:40.6029902Z PASSED [ 59%]
2022-05-18T04:50:40.6966922Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_lstm_trilayer_forward_no_initial_state_without_sequence_lengths_with_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:40.7182101Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:40.7332730Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:40.8372667Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:40.8582709Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:40.8732527Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:40.8863992Z PASSED [ 60%]
2022-05-18T04:50:40.9790087Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_lstm_trilayer_forward_no_initial_state_without_sequence_lengths_without_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:40.9999083Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:41.0147782Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:41.1174040Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:41.1383690Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:41.1533510Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:41.1664650Z PASSED [ 60%]
2022-05-18T04:50:41.2069516Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_lstm_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:41.2070233Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:41.2628745Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:41.2629359Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:41.3240230Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:41.3240770Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:41.3802599Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:41.3803167Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:41.4041777Z PASSED [ 60%]
2022-05-18T04:50:41.4447452Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_lstm_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:41.4448161Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:41.5007664Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:41.5008352Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:41.5618928Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:41.5619464Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:41.6177605Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:41.6178154Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:41.6416541Z PASSED [ 60%]
2022-05-18T04:50:41.6819892Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_lstm_trilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:41.6820654Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:41.7379369Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:41.7380086Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:41.7987884Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:41.7988620Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:41.8545714Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:41.8546225Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:41.8779809Z PASSED [ 60%]
2022-05-18T04:50:41.9184273Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_lstm_trilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:41.9184972Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:41.9742967Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:41.9743479Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:42.0352855Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:42.0353439Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:42.0914910Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:42.0915434Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:42.1151823Z PASSED [ 60%]
2022-05-18T04:50:42.1550040Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_lstm_trilayer_forward_with_initial_state_without_sequence_lengths_with_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:42.1756280Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:42.1873129Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:42.2326094Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:42.2531045Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:42.2652359Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:42.2739106Z PASSED [ 60%]
2022-05-18T04:50:42.3140062Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_lstm_trilayer_forward_with_initial_state_without_sequence_lengths_without_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:42.3344613Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:42.3466027Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:42.3917826Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:42.4121997Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:42.4242449Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:42.4328602Z PASSED [ 60%]
2022-05-18T04:50:42.4728801Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_lstm_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:42.4729505Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:42.5268920Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:42.5269457Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:42.5813687Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:42.5814210Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:42.6348947Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:42.6349528Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:42.6523079Z PASSED [ 60%]
2022-05-18T04:50:42.6918967Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_lstm_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:42.6919675Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:42.7454066Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:42.7454714Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:42.7989337Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:42.7989869Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:42.8525407Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:42.8526174Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:42.8698803Z PASSED [ 61%]
2022-05-18T04:50:42.9092982Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_lstm_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:42.9093679Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:42.9629000Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:42.9629592Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:43.0157591Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:43.0158128Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:43.0694221Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:43.0694898Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:43.0863828Z PASSED [ 61%]
2022-05-18T04:50:43.1262586Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_lstm_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:43.1263277Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:43.1801163Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:43.1802313Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:43.2338086Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:43.2339072Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:43.2874428Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:43.2875316Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:43.3042596Z PASSED [ 61%]
2022-05-18T04:50:43.3949749Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_lstm_unilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:43.4072806Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:43.4151465Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:43.5100102Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:43.5224140Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:43.5303358Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:43.5371919Z PASSED [ 61%]
2022-05-18T04:50:43.6283581Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_lstm_unilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:43.6407134Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:43.6486030Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:43.7430762Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:43.7552891Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:43.7632016Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:43.7699056Z PASSED [ 61%]
2022-05-18T04:50:43.8087168Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_lstm_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:43.8088094Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:43.8568418Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:43.8568943Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:43.9066072Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:43.9066858Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:43.9559029Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:43.9559554Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:43.9697640Z PASSED [ 61%]
2022-05-18T04:50:44.0084631Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_lstm_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:44.0085332Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:44.0565186Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:44.0565711Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:44.1062611Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:44.1063140Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:44.1543594Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:44.1544124Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:44.1689275Z PASSED [ 61%]
2022-05-18T04:50:44.2078134Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_lstm_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:44.2079058Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:44.2558270Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:44.2558802Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:44.3048327Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:44.3048863Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:44.3529344Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:44.3530092Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:44.3668936Z PASSED [ 61%]
2022-05-18T04:50:44.4055681Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_lstm_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:44.4056413Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:44.4536068Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:44.4536612Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:44.5034914Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:44.5035450Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:44.5517793Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:44.5518326Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:44.5655850Z PASSED [ 62%]
2022-05-18T04:50:44.6032549Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_lstm_unilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:44.6152336Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:44.6220725Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:44.6614306Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:44.6733504Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:44.6800994Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:44.6847200Z PASSED [ 62%]
2022-05-18T04:50:44.7223874Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_lstm_unilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:44.7342544Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:44.7409494Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:44.7799888Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:44.7919626Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:44.7987702Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:44.8032380Z PASSED [ 62%]
2022-05-18T04:50:44.8412439Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_lstm_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:44.8413155Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:44.8892348Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:44.8892879Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:44.9374831Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:44.9375557Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:44.9853720Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:44.9854405Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:44.9981631Z PASSED [ 62%]
2022-05-18T04:50:45.0358714Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_lstm_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:45.0359419Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:45.0837550Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:45.0838088Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:45.1310857Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:45.1311643Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:45.1790599Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:45.1791469Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:45.1920612Z PASSED [ 62%]
2022-05-18T04:50:45.2300729Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_lstm_unilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:45.2302126Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:45.2781298Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:45.2782196Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:45.3247738Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:45.3248725Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:45.3727115Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:45.3727945Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:45.3849816Z PASSED [ 62%]
2022-05-18T04:50:45.4226017Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_lstm_unilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:45.4226999Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:45.4703533Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:45.4704112Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:45.5170610Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:45.5649828Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:45.5650583Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:45.5651088Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:45.5771184Z PASSED [ 62%]
2022-05-18T04:50:45.6659377Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_lstm_unilayer_forward_no_initial_state_without_sequence_lengths_with_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:45.6721175Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:45.6764909Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:45.7688059Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:45.7749499Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:45.7792813Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:45.7856707Z PASSED [ 62%]
2022-05-18T04:50:45.8743809Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_lstm_unilayer_forward_no_initial_state_without_sequence_lengths_without_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:45.8804200Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:45.8846962Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:45.9761569Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:45.9822778Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:45.9865989Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:45.9928500Z PASSED [ 63%]
2022-05-18T04:50:46.0300853Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_lstm_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:46.0301558Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:46.0725992Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:46.0726739Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:46.1162628Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:46.1163175Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:46.1586581Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:46.1587119Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:46.1681994Z PASSED [ 63%]
2022-05-18T04:50:46.2054720Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_lstm_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:46.2055425Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:46.2481057Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:46.2481598Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:46.2916056Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:46.2916604Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:46.3340562Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:46.3341131Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:46.3436148Z PASSED [ 63%]
2022-05-18T04:50:46.3805462Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_lstm_unilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:46.3806224Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:46.4229670Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:46.4230194Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:46.4656882Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:46.4657628Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:46.5080144Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:46.5080716Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:46.5168306Z PASSED [ 63%]
2022-05-18T04:50:46.5536360Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_lstm_unilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:46.5537065Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:46.5960678Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:46.5961304Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:46.6389210Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:46.6390226Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:46.6813944Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:46.6814995Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:46.6904658Z PASSED [ 63%]
2022-05-18T04:50:46.7267860Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_lstm_unilayer_forward_with_initial_state_without_sequence_lengths_with_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:46.7327939Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:46.7362389Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:46.7740691Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:46.7800294Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:46.7838027Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:46.7881438Z PASSED [ 63%]
2022-05-18T04:50:46.8242778Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_lstm_unilayer_forward_with_initial_state_without_sequence_lengths_without_dropout WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:46.8300342Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:46.8337136Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:46.8708152Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:46.8766085Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:46.8803498Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:46.8844589Z PASSED [ 63%]
2022-05-18T04:50:46.9706607Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_lt PASSED [ 63%]
2022-05-18T04:50:47.0255287Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_lt_scalar PASSED [ 64%]
2022-05-18T04:50:49.7620927Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_mask_rcnn WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:49.7621588Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:59.8907527Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:50:59.8908083Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:51:00.1103264Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:51:00.1104301Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:51:00.3316226Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:51:06.9800358Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:51:06.9800901Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:51:07.0062307Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:51:14.2824483Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:51:14.3138993Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:51:21.7290489Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:51:23.4330755Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:51:23.4331304Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:51:24.0725705Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:51:24.0726266Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:51:24.1029577Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:51:24.6065144Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:51:24.6065656Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:51:24.6157139Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:51:24.6157655Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:51:24.6244805Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:51:24.6245314Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:51:24.9181169Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:51:24.9196462Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:51:25.2860615Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:51:25.2875830Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:51:25.5010559Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:51:25.5073820Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:51:25.5486649Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:51:25.5487402Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:51:25.6314194Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:51:25.6314695Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:51:25.6535551Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:51:25.7735146Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:51:25.7735689Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:51:25.7812391Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:51:25.7812993Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:51:25.7889294Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:51:25.7890210Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:51:25.9968459Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:51:25.9971721Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:51:26.3197080Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:51:26.3201364Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:51:26.4985911Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:51:26.5014144Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:51:26.5364492Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:51:26.5365383Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:51:30.9083645Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:51:30.9084206Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:51:41.0172296Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:51:41.0172833Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:51:41.2364504Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:51:41.2365026Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:51:41.4573235Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:51:41.4573785Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:51:48.1273057Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:51:48.1533596Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:51:55.4112130Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:51:55.4418429Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:52:02.8799275Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:52:04.5786379Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:52:04.5788032Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:52:05.2278911Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:52:05.2279446Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:52:05.2564716Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:52:05.7393380Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:52:05.7393928Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:52:05.7475781Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:52:05.7476581Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:52:05.7558108Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:52:05.7559024Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:52:06.0324741Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:52:06.0341314Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:52:06.3869953Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:52:06.3886033Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:52:06.5901226Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:52:06.5961713Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:52:06.6382390Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:52:06.6383267Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:52:06.7242698Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:52:06.7243586Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:52:06.7451463Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:52:06.8590361Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:52:06.8665074Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:52:06.8665951Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:52:06.8666441Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:52:06.8737593Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:52:06.8738130Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:52:07.0684798Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:52:07.0687788Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:52:07.3761446Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:52:07.3764578Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:52:07.5442337Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:52:07.5468070Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:52:07.5813997Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:52:07.5814689Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:52:12.0934493Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:52:12.0935651Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:52:22.2150577Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:52:22.2151508Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:52:22.4355655Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:52:22.4356541Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:52:22.6569330Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:52:22.6569879Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:52:29.3125929Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:52:29.3388430Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:52:36.5786770Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:52:36.6094798Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:52:44.0386600Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:52:45.7338328Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:52:45.7339105Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:52:46.3773395Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:52:46.3773961Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:52:46.4060260Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:52:46.8884470Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:52:46.8885042Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:52:46.8967554Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:52:46.8968060Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:52:46.9050447Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:52:46.9051315Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:52:47.1838283Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:52:47.1852424Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:52:47.5386445Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:52:47.5400998Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:52:47.7420220Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:52:47.7479360Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:52:47.7898869Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:52:47.7899634Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:52:47.8768520Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:52:47.8769228Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:52:47.8977292Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:52:48.0098649Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:52:48.0099198Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:52:48.0171115Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:52:48.0171660Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:52:48.0244658Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:52:48.0245286Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:52:48.2203737Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:52:48.2206392Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:52:48.5289424Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:52:48.5292427Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:52:48.6971974Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:52:48.6997585Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:52:48.7345744Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:52:48.7346464Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:52:55.4616584Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:52:55.4617480Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:53:05.5637638Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:53:05.5638180Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:53:05.7832081Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:53:05.7832895Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:53:06.0049131Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:53:06.0049680Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:53:12.6567674Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:53:12.6829598Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:53:19.9254802Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:53:19.9560151Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:53:27.4810419Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:53:29.2502540Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:53:29.2503147Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:53:29.9008859Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:53:29.9009406Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:53:29.9294860Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:53:30.4221395Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:53:30.4222219Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:53:30.4305631Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:53:30.4306140Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:53:30.4389457Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:53:30.4389961Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:53:30.7161309Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:53:30.7176577Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:53:31.0711878Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:53:31.0727101Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:53:31.2741873Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:53:31.2800846Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:53:31.3218870Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:53:31.3219396Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:53:31.4095598Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:53:31.4096123Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:53:31.4304674Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:53:31.5521264Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:53:31.5521777Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:53:31.5595655Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:53:31.5596146Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:53:31.5668847Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:53:31.5669359Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:53:31.7631486Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:53:31.7635451Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:53:32.0724680Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:53:32.0728467Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:53:32.2412942Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:53:32.2439152Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:53:32.2787894Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:53:32.2788758Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:53:36.1217344Z PASSED [ 64%]
2022-05-18T04:53:36.2016397Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_masked_fill PASSED [ 64%]
2022-05-18T04:53:36.2107725Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_masked_fill_inplace Warning: ONNX Preprocess - Removing mutation from node aten::masked_fill_ on block input: 'x.1'. This changes graph semantics.
2022-05-18T04:53:36.2348993Z Warning: ONNX Preprocess - Removing mutation from node aten::masked_fill_ on block input: 'x.1'. This changes graph semantics.
2022-05-18T04:53:36.2563496Z PASSED [ 64%]
2022-05-18T04:53:36.3104902Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_masked_scatter PASSED [ 64%]
2022-05-18T04:53:36.3489641Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_masked_select PASSED [ 64%]
2022-05-18T04:53:36.3928150Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_matmul PASSED [ 64%]
2022-05-18T04:53:36.4366044Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_matmul_batch PASSED [ 64%]
2022-05-18T04:53:36.5027914Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_max_int PASSED [ 65%]
2022-05-18T04:53:36.5260898Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_max_tensors PASSED [ 65%]
2022-05-18T04:53:36.5552970Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_maximum_minimum PASSED [ 65%]
2022-05-18T04:53:36.6101044Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_maxpool PASSED [ 65%]
2022-05-18T04:53:36.6627874Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_maxpool_1d_ceil PASSED [ 65%]
2022-05-18T04:53:36.7185687Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_maxpool_2d PASSED [ 65%]
2022-05-18T04:53:36.7823472Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_maxpool_2d_ceil PASSED [ 65%]
2022-05-18T04:53:37.4533106Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_maxpool_3d_ceil PASSED [ 65%]
2022-05-18T04:53:37.4915666Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_maxpool_adaptive PASSED [ 66%]
2022-05-18T04:53:37.5481086Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_maxpool_default_stride PASSED [ 66%]
2022-05-18T04:53:37.5985283Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_maxpool_dilation PASSED [ 66%]
2022-05-18T04:53:37.6595656Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_maxpool_with_indices PASSED [ 66%]
2022-05-18T04:53:37.7091509Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_meshgrid PASSED [ 66%]
2022-05-18T04:53:37.7591161Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_meshgrid_scalar PASSED [ 66%]
2022-05-18T04:53:37.8260895Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_min_int PASSED [ 66%]
2022-05-18T04:53:37.9090339Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_minimum_dtypes PASSED [ 66%]
2022-05-18T04:53:37.9374261Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_mish PASSED [ 67%]
2022-05-18T04:53:37.9520601Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_mixed_optional PASSED [ 67%]
2022-05-18T04:53:38.0112840Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_mixed_optional_default_none PASSED [ 67%]
2022-05-18T04:53:38.0324030Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_mixed_optional_default_tensor PASSED [ 67%]
2022-05-18T04:53:38.1570619Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_mixed_optional_default_tensor_script PASSED [ 67%]
2022-05-18T04:53:43.4978060Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_mobilenet_v3 PASSED [ 67%]
2022-05-18T04:53:43.4998574Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_mobilenet_v3_quant SKIPPED [ 67%]
2022-05-18T04:53:43.5022701Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_mod_with_low_precision SKIPPED [ 67%]
2022-05-18T04:53:43.5045473Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_multi_scale_roi_align SKIPPED [ 68%]
2022-05-18T04:53:43.5835171Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_multinomial PASSED [ 68%]
2022-05-18T04:53:43.8918277Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_multiple_conv_bn Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'bn.num_batches_tracked'. This changes graph semantics.
2022-05-18T04:53:43.8919570Z Warning: ONNX Preprocess - Removing mutation from node aten::add_ on block input: 'bn2.num_batches_tracked'. This changes graph semantics.
2022-05-18T04:53:44.4229315Z PASSED [ 68%]
2022-05-18T04:53:44.5413725Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_multiple_dynamic_repeat_interleave PASSED [ 68%]
2022-05-18T04:53:44.5841887Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_mv PASSED [ 68%]
2022-05-18T04:53:44.7526910Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_nan_to_num PASSED [ 68%]
2022-05-18T04:53:44.7922455Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_narrow PASSED [ 68%]
2022-05-18T04:53:44.8544450Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_narrow_dynamic PASSED [ 68%]
2022-05-18T04:53:44.9362341Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_nested_tuple_input PASSED [ 69%]
2022-05-18T04:53:44.9577419Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_nested_tuple_output PASSED [ 69%]
2022-05-18T04:53:45.2329819Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_new_empty PASSED [ 69%]
2022-05-18T04:53:45.4513130Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_new_full PASSED [ 69%]
2022-05-18T04:53:45.6394631Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_new_ones PASSED [ 69%]
2022-05-18T04:53:45.8276744Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_new_zeros PASSED [ 69%]
2022-05-18T04:53:45.9186542Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_nllloss PASSED [ 69%]
2022-05-18T04:53:46.0437625Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_nllloss_2d_mean PASSED [ 69%]
2022-05-18T04:53:46.1621511Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_nllloss_2d_mean_ignore_index PASSED [ 70%]
2022-05-18T04:53:46.2802525Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_nllloss_2d_mean_ignore_index_weights PASSED [ 70%]
2022-05-18T04:53:46.4009383Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_nllloss_2d_mean_weights PASSED [ 70%]
2022-05-18T04:53:46.5231892Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_nllloss_2d_none PASSED [ 70%]
2022-05-18T04:53:46.6469077Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_nllloss_2d_sum PASSED [ 70%]
2022-05-18T04:53:46.7772990Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_nllloss_dynamic_ignore_index PASSED [ 70%]
2022-05-18T04:53:46.8146317Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_nms PASSED [ 70%]
2022-05-18T04:53:46.8296741Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_nonzero PASSED [ 70%]
2022-05-18T04:53:46.8630928Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_normalize WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:53:46.8692194Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:53:46.8706027Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:53:46.8930174Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:53:46.8990957Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:53:46.8996739Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:53:46.9029458Z PASSED [ 71%]
2022-05-18T04:53:46.9330274Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_numel PASSED [ 71%]
2022-05-18T04:53:46.9626001Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_numel_empty PASSED [ 71%]
2022-05-18T04:53:47.0543157Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_one_hot PASSED [ 71%]
2022-05-18T04:53:47.1498417Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_ones_bool PASSED [ 71%]
2022-05-18T04:53:47.1595097Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_onnx_checker_invalid_graph PASSED [ 71%]
2022-05-18T04:53:47.1693415Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_onnx_proto_checker PASSED [ 71%]
2022-05-18T04:53:47.2527320Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_outer PASSED [ 71%]
2022-05-18T04:53:47.2759240Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_pad_int Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:53:47.2768932Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:53:47.2777557Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:53:47.2788042Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:53:47.2794034Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:53:47.2970281Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:53:47.2980489Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:53:47.2988841Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:53:47.2994640Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:53:47.3000321Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:53:47.3038747Z PASSED [ 72%]
2022-05-18T04:53:47.3259029Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_pad_types WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:53:47.3277606Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:53:47.3489945Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:53:47.3505840Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:53:47.3761873Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:53:47.3776992Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:53:47.3989762Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:53:47.4005339Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:53:47.4067553Z PASSED [ 72%]
2022-05-18T04:53:47.4505533Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_pairwise_distance PASSED [ 72%]
2022-05-18T04:53:47.6266386Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_paste_mask_in_image PASSED [ 72%]
2022-05-18T04:53:47.6835836Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_pixel_shuffle PASSED [ 72%]
2022-05-18T04:53:47.7478113Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_pixel_unshuffle PASSED [ 72%]
2022-05-18T04:53:47.9492818Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_pow PASSED [ 72%]
2022-05-18T04:53:47.9770725Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_prelu PASSED [ 72%]
2022-05-18T04:53:47.9990935Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_prelu_scalar PASSED [ 73%]
2022-05-18T04:53:48.1437332Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_prim_min PASSED [ 73%]
2022-05-18T04:53:48.1597147Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_primitive_input_bool PASSED [ 73%]
2022-05-18T04:53:48.1866636Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_primitive_input_floating PASSED [ 73%]
2022-05-18T04:53:48.2153491Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_primitive_input_integer PASSED [ 73%]
2022-05-18T04:53:48.2875337Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_qat_conv2d WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:53:48.3189167Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:53:48.3201098Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:53:48.4047369Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:53:48.4363457Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:53:48.4376688Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:53:48.4499487Z PASSED [ 73%]
2022-05-18T04:53:48.5186040Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_qat_conv2d_relu WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:53:48.5497844Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:53:48.5509755Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:53:48.5547195Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:53:48.6468918Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:53:48.6781986Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:53:48.6795569Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:53:48.6831675Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:53:48.6964052Z PASSED [ 73%]
2022-05-18T04:53:48.7734960Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_qat_conv2d_relu_fused WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:53:48.8046092Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:53:48.8059290Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:53:48.8963361Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:53:48.9274680Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:53:48.9289673Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:53:48.9416405Z PASSED [ 73%]
2022-05-18T04:53:48.9999877Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_qat_linear_per_channel WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:53:49.0202831Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:53:49.0215959Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:53:49.0933325Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:53:49.1139353Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:53:49.1153402Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:53:49.1271965Z PASSED [ 74%]
2022-05-18T04:53:49.1751440Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_qat_maxpool2d WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:53:49.1786442Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:53:49.2033524Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:53:49.2210191Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:53:49.2293831Z PASSED [ 74%]
2022-05-18T04:53:49.3067153Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_qat_relu WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:53:49.3101307Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:53:49.3337149Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:53:49.3371586Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:53:49.3452684Z PASSED [ 74%]
2022-05-18T04:53:49.3739021Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_quantize_per_tensor WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:53:49.3770796Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:53:49.3958380Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:53:49.4075366Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:53:49.4121796Z PASSED [ 74%]
2022-05-18T04:53:49.4307618Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_quantized_adaptive_avg_pool2d WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:53:49.4551309Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:53:49.4608094Z PASSED [ 74%]
2022-05-18T04:53:49.4875154Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_quantized_arithmetic WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:53:49.4915796Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:53:49.5237455Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:53:49.5276804Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:53:49.5361054Z PASSED [ 74%]
2022-05-18T04:53:49.5634455Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_quantized_arithmetic_qfunctional WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:53:49.5677404Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:53:49.5760385Z PASSED [ 74%]
2022-05-18T04:53:49.6403739Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_quantized_conv2d WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:53:49.6416347Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:53:49.7339046Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:53:49.7350662Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:53:49.7453176Z PASSED [ 74%]
2022-05-18T04:53:49.8109580Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_quantized_conv2d_relu WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:53:49.8122077Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:53:49.9047505Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:53:49.9059321Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:53:49.9162294Z PASSED [ 75%]
2022-05-18T04:53:49.9387993Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_quantized_flatten WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:53:49.9652134Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:53:49.9714463Z PASSED [ 75%]
2022-05-18T04:53:49.9852928Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_quantized_hardsigmoid WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:53:50.0037280Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:53:50.0092366Z PASSED [ 75%]
2022-05-18T04:53:50.0328290Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_quantized_hardswish WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:53:50.0583518Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:53:50.0639627Z PASSED [ 75%]
2022-05-18T04:53:50.1140943Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_quantized_linear WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:53:50.1152991Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:53:50.1805267Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:53:50.1819308Z WARNING: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:53:50.1905377Z PASSED [ 75%]
2022-05-18T04:53:50.3381545Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_random PASSED [ 75%]
2022-05-18T04:53:50.5020666Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_random_dynamic_size PASSED [ 75%]
2022-05-18T04:53:50.6694941Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_random_like PASSED [ 75%]
2022-05-18T04:53:50.8893735Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_random_like_dtype PASSED [ 76%]
2022-05-18T04:53:50.9502549Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_reciprocal PASSED [ 76%]
2022-05-18T04:53:51.0132016Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_reduce_log_sum_exp PASSED [ 76%]
2022-05-18T04:53:51.0880503Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_reduced_mean PASSED [ 76%]
2022-05-18T04:53:51.2329386Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_reduced_min_max PASSED [ 76%]
2022-05-18T04:53:51.4574263Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_reduced_prod PASSED [ 76%]
2022-05-18T04:53:51.7578815Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_reduced_sum PASSED [ 76%]
2022-05-18T04:53:51.8256404Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_reduced_sum_dtypes PASSED [ 76%]
2022-05-18T04:53:51.8470087Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_reflection_pad Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:53:51.8487374Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:53:51.8503744Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:53:51.8679794Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:53:51.8697628Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:53:51.8708182Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:53:51.8936969Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:53:51.8953122Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:53:51.8968581Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:53:51.9148735Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:53:51.9165911Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:53:51.9175557Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:53:51.9214175Z PASSED [ 77%]
2022-05-18T04:53:51.9614159Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_relu6 PASSED [ 77%]
2022-05-18T04:53:51.9807472Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_relu_int PASSED [ 77%]
2022-05-18T04:53:52.0890240Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_remainder PASSED [ 77%]
2022-05-18T04:53:52.1420481Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_remainder_scalar PASSED [ 77%]
2022-05-18T04:53:52.2186535Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_repeat PASSED [ 77%]
2022-05-18T04:53:52.5378696Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_repeat_interleave PASSED [ 77%]
2022-05-18T04:53:52.5922262Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_repeat_interleave_noop PASSED [ 77%]
2022-05-18T04:53:52.6140899Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_replication_pad Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:53:52.6158160Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:53:52.6175105Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:53:52.6355561Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:53:52.6371716Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:53:52.6381939Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:53:52.6614968Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:53:52.6630920Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:53:52.6647367Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:53:52.6829356Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:53:52.6845070Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:53:52.6855793Z Warning: Constant folding - Only steps=1 can be constant folded for opset >= 10 onnx::Slice op. Constant folding not applied.
2022-05-18T04:53:52.6893983Z PASSED [ 78%]
2022-05-18T04:53:52.6913159Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_reshape_allowzero SKIPPED [ 78%]
2022-05-18T04:53:52.7257195Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_reshape_constant_fold PASSED [ 78%]
2022-05-18T04:53:52.7552651Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_reshape_different_rank PASSED [ 78%]
2022-05-18T04:53:52.9127872Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_resize_images WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:53:52.9180472Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:53:52.9261201Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:53:53.1621472Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:53:53.1622013Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:53:53.1735419Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:53:53.1735915Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:53:53.1756066Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:53:53.1756578Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:53:53.1884199Z PASSED [ 78%]
2022-05-18T04:53:53.2215150Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_rnn_no_bias WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:53:53.2219417Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:53:53.2226258Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:53:53.2228846Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:53:53.2233903Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:53:53.2234955Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:53:53.2556672Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:53:53.2561138Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:53:53.2572422Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:53:53.2584160Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:53:53.2598243Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:53:53.2601478Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:53:53.2607476Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:53:53.2613490Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:53:53.2621698Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:53:53.2622638Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:53:53.2626991Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:53:53.2631567Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:53:53.2991156Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:53:53.2992137Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:53:53.3192121Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:53:53.3345194Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:53:53.3346098Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:53:53.3351643Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:53:53.3357674Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:53:53.3713925Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:53:53.3714453Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:53:53.3916353Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:53:53.3927399Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:53:53.3938836Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:53:53.4096681Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:53:53.4097365Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:53:53.4105783Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:53:53.4111144Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:53:53.4116685Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:53:53.4125607Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:53:53.4129620Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:53:53.4133594Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:53:53.4496754Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:53:53.4497447Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:53:53.4697099Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:53:53.4849586Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:53:53.4850346Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:53:53.4857535Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:53:53.4863445Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:53:53.5220555Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:53:53.5221222Z WARNING: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:53:53.5421578Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:53:53.5431977Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:53:53.5442850Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:53:53.5599710Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:53:53.5600334Z WARNING: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:53:53.5609801Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:53:53.5615307Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:53:53.5620168Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:53:53.5629207Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:53:53.5633038Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:53:53.5636093Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:53:53.5704473Z PASSED [ 78%]
2022-05-18T04:53:53.5727711Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_roi_align SKIPPED [ 78%]
2022-05-18T04:53:53.5749494Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_roi_align_aligned SKIPPED [ 78%]
2022-05-18T04:53:57.9961916Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_roi_heads WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:53:58.0092269Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:54:02.9033375Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:54:02.9220646Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:54:06.3162069Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:54:06.3163149Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:54:06.4740668Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:54:06.4741687Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:54:06.5756331Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:54:06.5757351Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:54:06.7700396Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:54:06.7701321Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:54:09.9765570Z PASSED [ 79%]
2022-05-18T04:54:10.0243966Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_roi_pool PASSED [ 79%]
2022-05-18T04:54:10.1755074Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_roll PASSED [ 79%]
2022-05-18T04:54:10.1972558Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_round PASSED [ 79%]
2022-05-18T04:54:13.5859208Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_rpn WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:54:13.5987985Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:54:16.0125581Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:54:16.0126579Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:54:16.0970956Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:54:16.0971515Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:54:16.4423063Z PASSED [ 79%]
2022-05-18T04:54:16.4672143Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_rsqrt PASSED [ 79%]
2022-05-18T04:54:16.4912405Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_rsqrt_zeros PASSED [ 79%]
2022-05-18T04:54:16.5795887Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_scalar_tensor PASSED [ 79%]
2022-05-18T04:54:17.0049172Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_scalar_type PASSED [ 80%]
2022-05-18T04:54:17.1161035Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_scatter PASSED [ 80%]
2022-05-18T04:54:17.1579736Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_scatter_add Warning: ONNX Preprocess - Removing mutation from node aten::scatter_add_ on block input: 'src.1'. This changes graph semantics.
2022-05-18T04:54:17.1580434Z Warning: ONNX Preprocess - Removing mutation from node aten::scatter_add_ on block input: 'index.1'. This changes graph semantics.
2022-05-18T04:54:17.1917830Z Warning: ONNX Preprocess - Removing mutation from node aten::scatter_add_ on block input: '0'. This changes graph semantics.
2022-05-18T04:54:17.1918421Z Warning: ONNX Preprocess - Removing mutation from node aten::scatter_add_ on block input: '1'. This changes graph semantics.
2022-05-18T04:54:17.2234535Z PASSED [ 80%]
2022-05-18T04:54:17.2602778Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_scatter_with_scalar PASSED [ 80%]
2022-05-18T04:54:17.2971696Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_scatter_with_scalar_different_types PASSED [ 80%]
2022-05-18T04:54:17.3204283Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_script_custom_class_error PASSED [ 80%]
2022-05-18T04:54:17.3747304Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_select PASSED [ 80%]
2022-05-18T04:54:17.4321130Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_select_negative_index PASSED [ 80%]
2022-05-18T04:54:17.4733650Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_sequance_loopcarried PASSED [ 80%]
2022-05-18T04:54:17.5297657Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_sequence_to_bool PASSED [ 81%]
2022-05-18T04:54:17.5893463Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_sequence_to_float PASSED [ 81%]
2022-05-18T04:54:17.6489653Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_sequence_to_int PASSED [ 81%]
2022-05-18T04:54:17.7013153Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_set_ PASSED [ 81%]
2022-05-18T04:54:17.7660597Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_set_attr PASSED [ 81%]
2022-05-18T04:54:17.8322525Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_set_attr_2 PASSED [ 81%]
2022-05-18T04:54:17.9644458Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_set_attr_3 PASSED [ 81%]
2022-05-18T04:54:18.0679036Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_set_attr_4 PASSED [ 81%]
2022-05-18T04:54:18.5398187Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_set_attr_5 PASSED [ 82%]
2022-05-18T04:54:18.9872862Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_set_attr_in_loop PASSED [ 82%]
2022-05-18T04:54:19.1202411Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_set_attr_in_loop_with_list PASSED [ 82%]
2022-05-18T04:54:19.4680025Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_set_attr_modules PASSED [ 82%]
2022-05-18T04:54:19.7874911Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_set_attr_modules_2 PASSED [ 82%]
2022-05-18T04:54:19.8312837Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_shape_constant_fold PASSED [ 82%]
2022-05-18T04:54:19.8816875Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_shape_value_map PASSED [ 82%]
2022-05-18T04:54:27.7191544Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_shufflenet_v2_dynamic_axes PASSED [ 82%]
2022-05-18T04:54:27.7491850Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_silu PASSED [ 83%]
2022-05-18T04:54:28.0061783Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_size PASSED [ 83%]
2022-05-18T04:54:28.2778298Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_slice_dynamic PASSED [ 83%]
2022-05-18T04:54:28.3033746Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_slice_dynamic_script PASSED [ 83%]
2022-05-18T04:54:28.4411426Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_slice_dynamic_shape_script PASSED [ 83%]
2022-05-18T04:54:28.6623448Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_slice_dynamic_to_end PASSED [ 83%]
2022-05-18T04:54:28.7112874Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_slice_neg PASSED [ 83%]
2022-05-18T04:54:28.8397852Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_slice_neg_large PASSED [ 83%]
2022-05-18T04:54:28.9631352Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_slice_neg_large_negone PASSED [ 84%]
2022-05-18T04:54:29.0056293Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_slice_trace PASSED [ 84%]
2022-05-18T04:54:29.2928184Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_slice_with_input_index PASSED [ 84%]
2022-05-18T04:54:29.7213616Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_softmax PASSED [ 84%]
2022-05-18T04:54:29.8978910Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_softmax_large_values PASSED [ 84%]
2022-05-18T04:54:30.0010654Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_softplus PASSED [ 84%]
2022-05-18T04:54:30.0905082Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_softshrink PASSED [ 84%]
2022-05-18T04:54:30.1371142Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_sort PASSED [ 84%]
2022-05-18T04:54:30.1839294Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_sort_ascending PASSED [ 85%]
2022-05-18T04:54:30.2201181Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_spectral_norm PASSED [ 85%]
2022-05-18T04:54:30.2811213Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_split PASSED [ 85%]
2022-05-18T04:54:30.3322953Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_split_dynamic PASSED [ 85%]
2022-05-18T04:54:30.3676584Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_split_dynamic_axes PASSED [ 85%]
2022-05-18T04:54:30.5131789Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_split_script PASSED [ 85%]
2022-05-18T04:54:30.5404455Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_split_size_as_list PASSED [ 85%]
2022-05-18T04:54:30.6629853Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_split_size_with_slice PASSED [ 85%]
2022-05-18T04:54:30.6651286Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_split_tensor_multi PASSED [ 86%]
2022-05-18T04:54:30.7039529Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_split_tensor_scalar PASSED [ 86%]
2022-05-18T04:54:30.7259138Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_square PASSED [ 86%]
2022-05-18T04:54:30.7543609Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_squeeze PASSED [ 86%]
2022-05-18T04:54:30.7751602Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_squeeze_all_dims PASSED [ 86%]
2022-05-18T04:54:30.8075419Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_squeeze_dynamic PASSED [ 86%]
2022-05-18T04:54:30.8310359Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_squeeze_dynamic_dim PASSED [ 86%]
2022-05-18T04:54:30.8630890Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_squeeze_neg PASSED [ 86%]
2022-05-18T04:54:30.8898827Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_squeeze_neg_without_no_op PASSED [ 87%]
2022-05-18T04:54:30.9218120Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_squeeze_no_op PASSED [ 87%]
2022-05-18T04:54:31.0959208Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_squeeze_runtime_dim PASSED [ 87%]
2022-05-18T04:54:31.1230880Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_squeeze_without_no_op PASSED [ 87%]
2022-05-18T04:54:31.1625345Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_stack PASSED [ 87%]
2022-05-18T04:54:31.1866902Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_stack_dynamic PASSED [ 87%]
2022-05-18T04:54:31.2492789Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_std PASSED [ 87%]
2022-05-18T04:54:31.3352002Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_std_along_dims PASSED [ 87%]
2022-05-18T04:54:31.3831630Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_std_correction PASSED [ 88%]
2022-05-18T04:54:31.4684535Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_std_keepdim PASSED [ 88%]
2022-05-18T04:54:31.5304633Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_std_mean PASSED [ 88%]
2022-05-18T04:54:31.6170621Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_std_mean_along_dims PASSED [ 88%]
2022-05-18T04:54:31.6662354Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_std_mean_correction PASSED [ 88%]
2022-05-18T04:54:31.7555414Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_std_mean_keepdim PASSED [ 88%]
2022-05-18T04:54:31.7834844Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_sum PASSED [ 88%]
2022-05-18T04:54:31.9664248Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_sum_empty_tensor PASSED [ 88%]
2022-05-18T04:54:32.2900301Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_symbolic_shape_inference PASSED [ 89%]
2022-05-18T04:54:32.7153392Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_symbolic_shape_inference_arange PASSED [ 89%]
2022-05-18T04:54:32.9727660Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_symbolic_shape_inference_arange_2 PASSED [ 89%]
2022-05-18T04:54:33.4291504Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_symbolic_shape_inference_box PASSED [ 89%]
2022-05-18T04:54:33.5094967Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_symbolic_shape_inference_box_if PASSED [ 89%]
2022-05-18T04:54:33.5793516Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_symbolic_shape_inference_dynamic_axes PASSED [ 89%]
2022-05-18T04:54:33.6184518Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_symbolic_shape_inference_expand_1 PASSED [ 89%]
2022-05-18T04:54:33.8449907Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_symbolic_shape_inference_expand_2 PASSED [ 89%]
2022-05-18T04:54:34.2709742Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_symbolic_shape_inference_nonzero PASSED [ 90%]
2022-05-18T04:54:34.4361344Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_symbolic_shape_inference_slice PASSED [ 90%]
2022-05-18T04:54:34.5566218Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_symbolic_shape_inference_slice_2 PASSED [ 90%]
2022-05-18T04:54:34.5922069Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_symbolic_shape_inference_time WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:54:34.5980108Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:54:34.6012804Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:54:34.6332599Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:54:34.6357677Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:54:34.6366789Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:54:34.6380707Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:54:34.6387400Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:54:34.6388450Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:54:34.6703780Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:54:34.6707993Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:54:34.6714771Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:54:34.6716956Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:54:34.6721706Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:54:34.6722460Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:54:34.6763106Z PASSED [ 90%]
2022-05-18T04:54:34.7033544Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_take PASSED [ 90%]
2022-05-18T04:54:34.7403250Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_tanh_gelu PASSED [ 90%]
2022-05-18T04:54:34.8074322Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_tanhshrink PASSED [ 90%]
2022-05-18T04:54:35.0427069Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_tensor PASSED [ 90%]
2022-05-18T04:54:35.2763588Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_tensor_factories PASSED [ 91%]
2022-05-18T04:54:35.3368588Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_tensor_factories_script PASSED [ 91%]
2022-05-18T04:54:35.7196605Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_tensor_index_advanced_indexing PASSED [ 91%]
2022-05-18T04:54:35.8224002Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_tensor_index_advanced_indexing_consecutive PASSED [ 91%]
2022-05-18T04:54:35.8555792Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_tensor_index_advanced_indexing_ellipsis PASSED [ 91%]
2022-05-18T04:54:35.9233333Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_tensor_like_factories_script PASSED [ 91%]
2022-05-18T04:54:35.9481674Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_tensordot_dim_count PASSED [ 91%]
2022-05-18T04:54:36.0527304Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_tensordot_dim_list PASSED [ 91%]
2022-05-18T04:54:36.0793188Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_tensordot_dynamic_dim PASSED [ 92%]
2022-05-18T04:54:36.1794635Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_to_device PASSED [ 92%]
2022-05-18T04:54:36.1990946Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_tolist PASSED [ 92%]
2022-05-18T04:54:36.2441638Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_topk PASSED [ 92%]
2022-05-18T04:54:36.2851913Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_topk_int32_k PASSED [ 92%]
2022-05-18T04:54:36.3069119Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_topk_script PASSED [ 92%]
2022-05-18T04:54:36.3828872Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_topk_smallest_unsorted PASSED [ 92%]
2022-05-18T04:54:36.4056377Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_torch_mm PASSED [ 92%]
2022-05-18T04:54:36.5091492Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_trace_script PASSED [ 93%]
2022-05-18T04:54:36.8007987Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_transform_images WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:54:36.8008620Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:54:37.0477314Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:54:37.0478111Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:54:37.4650046Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:54:37.4650651Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:54:37.4664694Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:54:37.4665228Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:54:37.4702556Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:54:37.4726660Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:54:37.4766409Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:54:37.4766924Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:54:37.4786922Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:54:37.4787529Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:54:37.4826078Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:54:37.4848643Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:54:37.5217371Z PASSED [ 93%]
2022-05-18T04:54:38.7449124Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_transformer_encoder PASSED [ 93%]
2022-05-18T04:54:38.7964368Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_transpose_infer_shape PASSED [ 93%]
2022-05-18T04:54:38.8789515Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_tril PASSED [ 93%]
2022-05-18T04:54:38.9599627Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_triu PASSED [ 93%]
2022-05-18T04:54:38.9768593Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_tuple_input PASSED [ 93%]
2022-05-18T04:54:38.9888641Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_tuple_of_optional PASSED [ 93%]
2022-05-18T04:54:39.0005474Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_tuple_of_optional_default_tensor PASSED [ 94%]
2022-05-18T04:54:39.0830187Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_tuple_of_optional_default_tensor_script PASSED [ 94%]
2022-05-18T04:54:39.1036714Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_tuple_output PASSED [ 94%]
2022-05-18T04:54:39.1358274Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_tuple_output_from_if_with_raised_exception PASSED [ 94%]
2022-05-18T04:54:39.1666494Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_tuple_primitive_input PASSED [ 94%]
2022-05-18T04:54:39.1718337Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_tuple_with_none_outputs PASSED [ 94%]
2022-05-18T04:54:39.2531394Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_type_as PASSED [ 94%]
2022-05-18T04:54:39.3455836Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_unbind PASSED [ 94%]
2022-05-18T04:54:39.3910274Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_unbind_dynamic PASSED [ 95%]
2022-05-18T04:54:39.4291732Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_unfold PASSED [ 95%]
2022-05-18T04:54:39.5591699Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_unfold_dynamic_inputs PASSED [ 95%]
2022-05-18T04:54:39.6262526Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_unfold_infer_shape PASSED [ 95%]
2022-05-18T04:54:39.6913076Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_uninitialized PASSED [ 95%]
2022-05-18T04:54:39.7668506Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_uninitialized_dynamic PASSED [ 95%]
2022-05-18T04:54:39.8441593Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_uninitialized_intList PASSED [ 95%]
2022-05-18T04:54:39.9131246Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_uninitialized_tensorList PASSED [ 95%]
2022-05-18T04:54:40.0238040Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_uninitialized_tensorList_dynamic PASSED [ 96%]
2022-05-18T04:54:40.1237765Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_uninitialized_tensorList_shape PASSED [ 96%]
2022-05-18T04:54:40.1710617Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_unique PASSED [ 96%]
2022-05-18T04:54:40.2190008Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_unique_along_dim PASSED [ 96%]
2022-05-18T04:54:40.2341746Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_unsafe_chunk PASSED [ 96%]
2022-05-18T04:54:40.2627059Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_unsqueeze PASSED [ 96%]
2022-05-18T04:54:40.2846869Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_unsqueeze_dynamic_dim PASSED [ 96%]
2022-05-18T04:54:40.2870262Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_unsupported_pad SKIPPED [ 96%]
2022-05-18T04:54:40.6235779Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_var PASSED [ 97%]
2022-05-18T04:54:40.7113197Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_var_along_dims PASSED [ 97%]
2022-05-18T04:54:40.7591504Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_var_correction PASSED [ 97%]
2022-05-18T04:54:40.8445120Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_var_keepdim PASSED [ 97%]
2022-05-18T04:54:40.9063731Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_var_mean PASSED [ 97%]
2022-05-18T04:54:40.9923337Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_var_mean_along_dims PASSED [ 97%]
2022-05-18T04:54:41.0408529Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_var_mean_correction PASSED [ 97%]
2022-05-18T04:54:41.1275227Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_var_mean_keepdim PASSED [ 97%]
2022-05-18T04:54:41.2457914Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_var_mean_mixed_dims PASSED [ 98%]
2022-05-18T04:54:41.2746260Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_view PASSED [ 98%]
2022-05-18T04:54:41.2973669Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_view_as PASSED [ 98%]
2022-05-18T04:54:41.3796472Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_view_dynamic PASSED [ 98%]
2022-05-18T04:54:41.4222109Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_view_dynamic_zero_dim PASSED [ 98%]
2022-05-18T04:54:41.5856594Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_weight_norm PASSED [ 98%]
2022-05-18T04:54:41.6169879Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_weight_norm_nodim PASSED [ 98%]
2022-05-18T04:54:41.6415181Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_where PASSED [ 98%]
2022-05-18T04:54:41.6942035Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_where_condition PASSED [ 99%]
2022-05-18T04:54:41.8010906Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_where_condition_script PASSED [ 99%]
2022-05-18T04:54:41.8682158Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_where_with_bool_tensor PASSED [ 99%]
2022-05-18T04:54:41.8930811Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_where_with_byte_tensor PASSED [ 99%]
2022-05-18T04:54:42.1485757Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_word_language_model_GRU WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:54:42.2202536Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:54:42.2432986Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:54:42.3179515Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:54:42.4154494Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:54:42.4371838Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:54:42.4509897Z PASSED [ 99%]
2022-05-18T04:54:42.5215303Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_word_language_model_LSTM WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:54:42.6229135Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:54:42.6449789Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:54:42.6574676Z PASSED [ 99%]
2022-05-18T04:54:42.7208648Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_word_language_model_RNN_RELU WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:54:42.7935036Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:54:42.8000717Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:54:42.8138452Z PASSED [ 99%]
2022-05-18T04:54:42.8776316Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_word_language_model_RNN_TANH WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:54:42.9499151Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:54:42.9564184Z WARNING: The shape inference of prim::Constant type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function.
2022-05-18T04:54:42.9700753Z PASSED [ 99%]
2022-05-18T04:54:43.0393407Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_zeros_ones_with_tensor_input PASSED [100%]/opt/conda/lib/python3.7/site-packages/coverage/control.py:793: CoverageWarning: No data was collected. (no-data-collected)
2022-05-18T04:54:43.0393986Z   self._warn("No data was collected.", slug="no-data-collected")
2022-05-18T04:54:43.7686218Z 
2022-05-18T04:54:43.7699300Z 
2022-05-18T04:54:43.7699947Z =============================== warnings summary ===============================
2022-05-18T04:54:43.7700959Z ../.local/lib/python3.7/site-packages/torchvision/transforms/functional_pil.py:207
2022-05-18T04:54:43.7701870Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/transforms/functional_pil.py:207: DeprecationWarning: BILINEAR is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.BILINEAR instead.
2022-05-18T04:54:43.7704020Z     def resize(img, size, interpolation=Image.BILINEAR):
2022-05-18T04:54:43.7704355Z 
2022-05-18T04:54:43.7704859Z ../.local/lib/python3.7/site-packages/torchvision/transforms/functional_pil.py:280
2022-05-18T04:54:43.7705987Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/transforms/functional_pil.py:280: DeprecationWarning: BICUBIC is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.BICUBIC instead.
2022-05-18T04:54:43.7706826Z     def perspective(img, perspective_coeffs, interpolation=Image.BICUBIC, fill=None):
2022-05-18T04:54:43.7707159Z 
2022-05-18T04:54:43.7707351Z test/onnx/test_pytorch_onnx_onnxruntime.py: 58 warnings
2022-05-18T04:54:43.7708403Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/utils.py:1522: UserWarning: No names were found for specified dynamic axes of provided input.Automatically generated names will be applied to each dynamic axes of input x
2022-05-18T04:54:43.7709054Z     key
2022-05-18T04:54:43.7709218Z 
2022-05-18T04:54:43.7709451Z test/onnx/test_pytorch_onnx_onnxruntime.py: 12 warnings
2022-05-18T04:54:43.7710482Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/utils.py:1522: UserWarning: No names were found for specified dynamic axes of provided input.Automatically generated names will be applied to each dynamic axes of input input_1
2022-05-18T04:54:43.7711310Z     key
2022-05-18T04:54:43.7711470Z 
2022-05-18T04:54:43.7711778Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_arange_dynamic
2022-05-18T04:54:43.7712379Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_if_transpose
2022-05-18T04:54:43.7712957Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_if_view
2022-05-18T04:54:43.7713496Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_slice_dynamic
2022-05-18T04:54:43.7714092Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_slice_dynamic_to_end
2022-05-18T04:54:43.7715241Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/utils.py:1522: UserWarning: No names were found for specified dynamic axes of provided input.Automatically generated names will be applied to each dynamic axes of input output_1
2022-05-18T04:54:43.7715906Z     key
2022-05-18T04:54:43.7716049Z 
2022-05-18T04:54:43.7716323Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_arange_out
2022-05-18T04:54:43.7716928Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_arange_with_floats_out
2022-05-18T04:54:43.7718703Z   /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:426: UserWarning: The number of elements in the out tensor of shape [1] is 1 which does not match the computed number of elements 9. Note that this may occur as a result of rounding error. The out tensor will be resized to a tensor of shape (9,). (Triggered internally at  /var/lib/jenkins/workspace/aten/src/ATen/native/RangeFactories.cpp:187.)
2022-05-18T04:54:43.7719692Z     return callable(*args, **kwargs)
2022-05-18T04:54:43.7719908Z 
2022-05-18T04:54:43.7720163Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_arange_out
2022-05-18T04:54:43.7721300Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2709: UserWarning: The number of elements in the out tensor of shape [1] is 1 which does not match the computed number of elements 9. Note that this may occur as a result of rounding error. The out tensor will be resized to a tensor of shape (9,). (Triggered internally at  /var/lib/jenkins/workspace/aten/src/ATen/native/RangeFactories.cpp:187.)
2022-05-18T04:54:43.7722266Z     return torch.arange(end, out=out_t)
2022-05-18T04:54:43.7722489Z 
2022-05-18T04:54:43.7722762Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_arange_out
2022-05-18T04:54:43.7723840Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2708: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:54:43.7724770Z     out_t = torch.tensor([1], dtype=torch.float)
2022-05-18T04:54:43.7725000Z 
2022-05-18T04:54:43.7725257Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_arange_start_out
2022-05-18T04:54:43.7726919Z   /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:426: UserWarning: The number of elements in the out tensor of shape [1] is 1 which does not match the computed number of elements 7. Note that this may occur as a result of rounding error. The out tensor will be resized to a tensor of shape (7,). (Triggered internally at  /var/lib/jenkins/workspace/aten/src/ATen/native/RangeFactories.cpp:187.)
2022-05-18T04:54:43.7727872Z     return callable(*args, **kwargs)
2022-05-18T04:54:43.7728100Z 
2022-05-18T04:54:43.7728383Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_arange_start_out
2022-05-18T04:54:43.7729410Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2719: UserWarning: The number of elements in the out tensor of shape [1] is 1 which does not match the computed number of elements 7. Note that this may occur as a result of rounding error. The out tensor will be resized to a tensor of shape (7,). (Triggered internally at  /var/lib/jenkins/workspace/aten/src/ATen/native/RangeFactories.cpp:187.)
2022-05-18T04:54:43.7730648Z     return torch.arange(start.size(0), end, out=out_t)
2022-05-18T04:54:43.7730915Z 
2022-05-18T04:54:43.7731215Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_arange_start_out
2022-05-18T04:54:43.7732239Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2718: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:54:43.7733240Z     out_t = torch.tensor([1], dtype=torch.float)
2022-05-18T04:54:43.7733489Z 
2022-05-18T04:54:43.7733766Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_arange_with_floats_out
2022-05-18T04:54:43.7735168Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2610: UserWarning: The number of elements in the out tensor of shape [1] is 1 which does not match the computed number of elements 9. Note that this may occur as a result of rounding error. The out tensor will be resized to a tensor of shape (9,). (Triggered internally at  /var/lib/jenkins/workspace/aten/src/ATen/native/RangeFactories.cpp:187.)
2022-05-18T04:54:43.7736219Z     return torch.arange(end, out=out_t)
2022-05-18T04:54:43.7736448Z 
2022-05-18T04:54:43.7736749Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_arange_with_floats_out
2022-05-18T04:54:43.7737804Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2609: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:54:43.7738782Z     out_t = torch.tensor([1], dtype=torch.float)
2022-05-18T04:54:43.7739012Z 
2022-05-18T04:54:43.7739314Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_arange_with_floats_out
2022-05-18T04:54:43.7741020Z   /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:426: UserWarning: The number of elements in the out tensor of shape [1] is 1 which does not match the computed number of elements 5. Note that this may occur as a result of rounding error. The out tensor will be resized to a tensor of shape (5,). (Triggered internally at  /var/lib/jenkins/workspace/aten/src/ATen/native/RangeFactories.cpp:187.)
2022-05-18T04:54:43.7742020Z     return callable(*args, **kwargs)
2022-05-18T04:54:43.7742229Z 
2022-05-18T04:54:43.7742528Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_arange_with_floats_out
2022-05-18T04:54:43.7743661Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2618: UserWarning: The number of elements in the out tensor of shape [1] is 1 which does not match the computed number of elements 5. Note that this may occur as a result of rounding error. The out tensor will be resized to a tensor of shape (5,). (Triggered internally at  /var/lib/jenkins/workspace/aten/src/ATen/native/RangeFactories.cpp:187.)
2022-05-18T04:54:43.7744668Z     return torch.arange(start.size(0), end, 1.5, out=out_t)
2022-05-18T04:54:43.7744919Z 
2022-05-18T04:54:43.7745221Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_arange_with_floats_out
2022-05-18T04:54:43.7746283Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2617: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:54:43.7747337Z     out_t = torch.tensor([1], dtype=torch.float)
2022-05-18T04:54:43.7747582Z 
2022-05-18T04:54:43.7747876Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_arithmetic_prim_bool
2022-05-18T04:54:43.7749447Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2217: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:54:43.7750247Z     if z:
2022-05-18T04:54:43.7750414Z 
2022-05-18T04:54:43.7750679Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_baddbmm
2022-05-18T04:54:43.7751813Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:7625: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:54:43.7752775Z     input, batch1, batch2, alpha=torch.tensor(5), beta=3.5
2022-05-18T04:54:43.7753012Z 
2022-05-18T04:54:43.7753284Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_batched_nms
2022-05-18T04:54:43.7753864Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_nms
2022-05-18T04:54:43.7755035Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/symbolic_opset9.py:778: UserWarning: This model contains a squeeze operation on dimension 1. If the model is intended to be used with dynamic input shapes, please use opset version 11 to export the model.
2022-05-18T04:54:43.7755893Z     + "intended to be used with dynamic input shapes, please use opset version 11 to export the model."
2022-05-18T04:54:43.7756209Z 
2022-05-18T04:54:43.7756520Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_batchnorm1d_norunningstats
2022-05-18T04:54:43.7757159Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_batchnorm2d_norunningstats
2022-05-18T04:54:43.7758394Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/symbolic_helper.py:1139: UserWarning: ONNX export mode is set to inference mode, but operator batch_norm is set to training  mode. The operators will be exported in training , as specified by the functional operator.
2022-05-18T04:54:43.7759175Z     + ", as specified by the functional operator."
2022-05-18T04:54:43.7759419Z 
2022-05-18T04:54:43.7759713Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_batchnorm1d_norunningstats
2022-05-18T04:54:43.7760361Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_batchnorm2d_norunningstats
2022-05-18T04:54:43.7760980Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_batchnorm_training
2022-05-18T04:54:43.7761605Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_batchnorm_training_mode_fix_layer
2022-05-18T04:54:43.7762211Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_conv_bn
2022-05-18T04:54:43.7762785Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_groupnorm
2022-05-18T04:54:43.7763374Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_groupnorm_noaffine
2022-05-18T04:54:43.7763958Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_multiple_conv_bn
2022-05-18T04:54:43.7765343Z   /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:2352: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:54:43.7766239Z     if size_prods == 1:
2022-05-18T04:54:43.7766438Z 
2022-05-18T04:54:43.7766635Z test/onnx/test_pytorch_onnx_onnxruntime.py: 11 warnings
2022-05-18T04:54:43.7768642Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/utils.py:438: UserWarning: It is recommended that constant folding be turned off ('do_constant_folding=False') when exporting the model in training-amenable mode, i.e. with 'training=TrainingMode.TRAIN' or 'training=TrainingMode.PRESERVE' (when model is in training mode). Otherwise, some learnable model parameters may not translate correctly in the exported ONNX model because constant folding mutates model parameters. Please consider turning off constant folding or setting the training=TrainingMode.EVAL.
2022-05-18T04:54:43.7770231Z     "It is recommended that constant folding be turned off ('do_constant_folding=False') "
2022-05-18T04:54:43.7770550Z 
2022-05-18T04:54:43.7770882Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_binary_cross_entropy_with_logits
2022-05-18T04:54:43.7772350Z   /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:3096: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:54:43.7773232Z     if not (target.size() == input.size()):
2022-05-18T04:54:43.7773451Z 
2022-05-18T04:54:43.7773727Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_bitshift
2022-05-18T04:54:43.7774888Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:3936: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:54:43.7775802Z     input >> torch.tensor([1, 2]),
2022-05-18T04:54:43.7776007Z 
2022-05-18T04:54:43.7776274Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_bitshift_uint8
2022-05-18T04:54:43.7777328Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:3952: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:54:43.7778273Z     input2 >> torch.tensor([1, 2], dtype=torch.uint8),
2022-05-18T04:54:43.7778520Z 
2022-05-18T04:54:43.7778813Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_clip_boxes_to_image
2022-05-18T04:54:43.7779949Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/utils.py:1522: UserWarning: No names were found for specified dynamic axes of provided input.Automatically generated names will be applied to each dynamic axes of input size
2022-05-18T04:54:43.7780596Z     key
2022-05-18T04:54:43.7780760Z 
2022-05-18T04:54:43.7781052Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_clip_boxes_to_image
2022-05-18T04:54:43.7781647Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_faster_rcnn
2022-05-18T04:54:43.7782217Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_mask_rcnn
2022-05-18T04:54:43.7782771Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_roi_heads
2022-05-18T04:54:43.7783335Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_rpn
2022-05-18T04:54:43.7784841Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/ops/boxes.py:116: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:54:43.7785990Z     boxes_x = torch.max(boxes_x, torch.tensor(0, dtype=boxes.dtype, device=boxes.device))
2022-05-18T04:54:43.7786300Z 
2022-05-18T04:54:43.7786572Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_clip_boxes_to_image
2022-05-18T04:54:43.7787173Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_faster_rcnn
2022-05-18T04:54:43.7787754Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_mask_rcnn
2022-05-18T04:54:43.7788314Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_roi_heads
2022-05-18T04:54:43.7788846Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_rpn
2022-05-18T04:54:43.7790421Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/ops/boxes.py:117: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:54:43.7791448Z     boxes_x = torch.min(boxes_x, torch.tensor(width, dtype=boxes.dtype, device=boxes.device))
2022-05-18T04:54:43.7791768Z 
2022-05-18T04:54:43.7792047Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_clip_boxes_to_image
2022-05-18T04:54:43.7792632Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_faster_rcnn
2022-05-18T04:54:43.7793195Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_mask_rcnn
2022-05-18T04:54:43.7793768Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_roi_heads
2022-05-18T04:54:43.7794320Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_rpn
2022-05-18T04:54:43.7795560Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/ops/boxes.py:117: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor).
2022-05-18T04:54:43.7796439Z     boxes_x = torch.min(boxes_x, torch.tensor(width, dtype=boxes.dtype, device=boxes.device))
2022-05-18T04:54:43.7796774Z 
2022-05-18T04:54:43.7797061Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_clip_boxes_to_image
2022-05-18T04:54:43.7797645Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_faster_rcnn
2022-05-18T04:54:43.7798214Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_mask_rcnn
2022-05-18T04:54:43.7798782Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_roi_heads
2022-05-18T04:54:43.7799358Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_rpn
2022-05-18T04:54:43.7800885Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/ops/boxes.py:118: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:54:43.7801906Z     boxes_y = torch.max(boxes_y, torch.tensor(0, dtype=boxes.dtype, device=boxes.device))
2022-05-18T04:54:43.7802219Z 
2022-05-18T04:54:43.7802513Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_clip_boxes_to_image
2022-05-18T04:54:43.7803102Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_faster_rcnn
2022-05-18T04:54:43.7803682Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_mask_rcnn
2022-05-18T04:54:43.7804240Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_roi_heads
2022-05-18T04:54:43.7804871Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_rpn
2022-05-18T04:54:43.7806398Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/ops/boxes.py:119: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:54:43.7807444Z     boxes_y = torch.min(boxes_y, torch.tensor(height, dtype=boxes.dtype, device=boxes.device))
2022-05-18T04:54:43.7807771Z 
2022-05-18T04:54:43.7808049Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_clip_boxes_to_image
2022-05-18T04:54:43.7808643Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_faster_rcnn
2022-05-18T04:54:43.7809221Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_mask_rcnn
2022-05-18T04:54:43.7809795Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_roi_heads
2022-05-18T04:54:43.7810399Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_rpn
2022-05-18T04:54:43.7811727Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/ops/boxes.py:119: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor).
2022-05-18T04:54:43.7812627Z     boxes_y = torch.min(boxes_y, torch.tensor(height, dtype=boxes.dtype, device=boxes.device))
2022-05-18T04:54:43.7812943Z 
2022-05-18T04:54:43.7813141Z test/onnx/test_pytorch_onnx_onnxruntime.py: 13 warnings
2022-05-18T04:54:43.7814018Z   /opt/conda/lib/python3.7/site-packages/torch/jit/_trace.py:745: UserWarning: The input to trace is already a ScriptModule, tracing it is a no-op. Returning the object as is.
2022-05-18T04:54:43.7815020Z     "The input to trace is already a ScriptModule, tracing it is a no-op. Returning the object as is."
2022-05-18T04:54:43.7815357Z 
2022-05-18T04:54:43.7815634Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_derive_index
2022-05-18T04:54:43.7817076Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:9340: TracerWarning: Using len to get tensor shape might cause the trace to be incorrect. Recommended usage would be tensor.shape[0]. Passing a tensor of different shape might lead to errors or silently give incorrect results.
2022-05-18T04:54:43.7817988Z     for idx in range(len(x) - 1, -len(x), -2):
2022-05-18T04:54:43.7818199Z 
2022-05-18T04:54:43.7818475Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_derive_index
2022-05-18T04:54:43.7819432Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:9351: TracerWarning: Using len to get tensor shape might cause the trace to be incorrect. Recommended usage would be tensor.shape[0]. Passing a tensor of different shape might lead to errors or silently give incorrect results.
2022-05-18T04:54:43.7820311Z     for idx in range(-len(x), len(x) - 1, 2):
2022-05-18T04:54:43.7820535Z 
2022-05-18T04:54:43.7820811Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_derive_index
2022-05-18T04:54:43.7821748Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:9362: TracerWarning: Using len to get tensor shape might cause the trace to be incorrect. Recommended usage would be tensor.shape[0]. Passing a tensor of different shape might lead to errors or silently give incorrect results.
2022-05-18T04:54:43.7822633Z     for idx in range(len(x) - 1, -len(x), -3):
2022-05-18T04:54:43.7822853Z 
2022-05-18T04:54:43.7823133Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_derive_index
2022-05-18T04:54:43.7824082Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:9372: TracerWarning: Using len to get tensor shape might cause the trace to be incorrect. Recommended usage would be tensor.shape[0]. Passing a tensor of different shape might lead to errors or silently give incorrect results.
2022-05-18T04:54:43.7825116Z     for idx in range(-len(x), len(x) - 1, 3):
2022-05-18T04:54:43.7825325Z 
2022-05-18T04:54:43.7825631Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_derive_index_scripting
2022-05-18T04:54:43.7826579Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:9296: TracerWarning: Using len to get tensor shape might cause the trace to be incorrect. Recommended usage would be tensor.shape[0]. Passing a tensor of different shape might lead to errors or silently give incorrect results.
2022-05-18T04:54:43.7827467Z     for idx in range(len(x) - 1, -len(x), -2):
2022-05-18T04:54:43.7827691Z 
2022-05-18T04:54:43.7827990Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_derive_index_scripting
2022-05-18T04:54:43.7828938Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:9307: TracerWarning: Using len to get tensor shape might cause the trace to be incorrect. Recommended usage would be tensor.shape[0]. Passing a tensor of different shape might lead to errors or silently give incorrect results.
2022-05-18T04:54:43.7829872Z     for idx in range(-len(x), len(x) - 1, 2):
2022-05-18T04:54:43.7830072Z 
2022-05-18T04:54:43.7830354Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_derive_index_scripting
2022-05-18T04:54:43.7831229Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:9318: TracerWarning: Using len to get tensor shape might cause the trace to be incorrect. Recommended usage would be tensor.shape[0]. Passing a tensor of different shape might lead to errors or silently give incorrect results.
2022-05-18T04:54:43.7832115Z     for idx in range(len(x) - 1, -len(x), -3):
2022-05-18T04:54:43.7832335Z 
2022-05-18T04:54:43.7832656Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_derive_index_scripting
2022-05-18T04:54:43.7833693Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:9328: TracerWarning: Using len to get tensor shape might cause the trace to be incorrect. Recommended usage would be tensor.shape[0]. Passing a tensor of different shape might lead to errors or silently give incorrect results.
2022-05-18T04:54:43.7834640Z     for idx in range(-len(x), len(x) - 1, 3):
2022-05-18T04:54:43.7834877Z 
2022-05-18T04:54:43.7835166Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_dist_normal
2022-05-18T04:54:43.7835797Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_dist_normal_correctness
2022-05-18T04:54:43.7837321Z   /opt/conda/lib/python3.7/site-packages/torch/distributions/distribution.py:54: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:54:43.7838177Z     if not valid.all():
2022-05-18T04:54:43.7838373Z 
2022-05-18T04:54:43.7838642Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_dist_uniform
2022-05-18T04:54:43.7839249Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_dist_uniform_correctness
2022-05-18T04:54:43.7840623Z   /opt/conda/lib/python3.7/site-packages/torch/distributions/uniform.py:55: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:54:43.7841537Z     if self._validate_args and not torch.lt(self.low, self.high).all():
2022-05-18T04:54:43.7841810Z 
2022-05-18T04:54:43.7842092Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_dropout_training
2022-05-18T04:54:43.7842792Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_dropout_training_zero
2022-05-18T04:54:43.7843968Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/symbolic_opset12.py:57: UserWarning: Dropout is a training op and should not be exported in inference mode. For inference, make sure to call eval() on the model and to export it with param training=False.
2022-05-18T04:54:43.7844757Z     "Dropout is a training op and should not be exported in inference mode. "
2022-05-18T04:54:43.7845038Z 
2022-05-18T04:54:43.7845312Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_dynamic_arange_out
2022-05-18T04:54:43.7846883Z   /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:426: UserWarning: The number of elements in the out tensor of shape [1] is 1 which does not match the computed number of elements 8. Note that this may occur as a result of rounding error. The out tensor will be resized to a tensor of shape (8,). (Triggered internally at  /var/lib/jenkins/workspace/aten/src/ATen/native/RangeFactories.cpp:187.)
2022-05-18T04:54:43.7847770Z     return callable(*args, **kwargs)
2022-05-18T04:54:43.7847968Z 
2022-05-18T04:54:43.7848336Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_dynamic_arange_out
2022-05-18T04:54:43.7849333Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2561: UserWarning: The number of elements in the out tensor of shape [1] is 1 which does not match the computed number of elements 8. Note that this may occur as a result of rounding error. The out tensor will be resized to a tensor of shape (8,). (Triggered internally at  /var/lib/jenkins/workspace/aten/src/ATen/native/RangeFactories.cpp:187.)
2022-05-18T04:54:43.7850297Z     return torch.arange(end, out=out_t)
2022-05-18T04:54:43.7850497Z 
2022-05-18T04:54:43.7850731Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_dynamic_arange_out
2022-05-18T04:54:43.7851818Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2560: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:54:43.7852902Z     out_t = torch.tensor([1], dtype=torch.int64)
2022-05-18T04:54:43.7853171Z 
2022-05-18T04:54:43.7853508Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_dynamic_arange_start_out
2022-05-18T04:54:43.7855447Z   /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:426: UserWarning: The number of elements in the out tensor of shape [1] is 1 which does not match the computed number of elements 6. Note that this may occur as a result of rounding error. The out tensor will be resized to a tensor of shape (6,). (Triggered internally at  /var/lib/jenkins/workspace/aten/src/ATen/native/RangeFactories.cpp:187.)
2022-05-18T04:54:43.7856545Z     return callable(*args, **kwargs)
2022-05-18T04:54:43.7856784Z 
2022-05-18T04:54:43.7857104Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_dynamic_arange_start_out
2022-05-18T04:54:43.7858391Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2571: UserWarning: The number of elements in the out tensor of shape [1] is 1 which does not match the computed number of elements 6. Note that this may occur as a result of rounding error. The out tensor will be resized to a tensor of shape (6,). (Triggered internally at  /var/lib/jenkins/workspace/aten/src/ATen/native/RangeFactories.cpp:187.)
2022-05-18T04:54:43.7859508Z     return torch.arange(start.size(0), end, out=out_t)
2022-05-18T04:54:43.7859778Z 
2022-05-18T04:54:43.7860102Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_dynamic_arange_start_out
2022-05-18T04:54:43.7861320Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2570: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:54:43.7862534Z     out_t = torch.tensor([1], dtype=torch.int64)
2022-05-18T04:54:43.7862780Z 
2022-05-18T04:54:43.7863087Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_dynamic_chunk
2022-05-18T04:54:43.7864611Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:6019: TracerWarning: Converting a tensor to a Python integer might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:54:43.7865605Z     return torch.chunk(x, x.size(0), dim=self.dim)
2022-05-18T04:54:43.7865875Z 
2022-05-18T04:54:43.7866193Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_dynamic_expand_as
2022-05-18T04:54:43.7867499Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:4515: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:54:43.7868536Z     x[:, x.size(0) :] = torch.tensor([1, 2, 3])
2022-05-18T04:54:43.7868774Z 
2022-05-18T04:54:43.7869105Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_dynamic_repeat_interleave
2022-05-18T04:54:43.7870289Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:5482: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:54:43.7871299Z     repeats = torch.tensor(4)
2022-05-18T04:54:43.7871529Z 
2022-05-18T04:54:43.7871848Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_dynamic_repeat_interleave
2022-05-18T04:54:43.7873040Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:5497: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:54:43.7874034Z     repeats = torch.tensor(4)
2022-05-18T04:54:43.7874263Z 
2022-05-18T04:54:43.7874589Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_dynamic_repeat_interleave
2022-05-18T04:54:43.7875771Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:5512: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:54:43.7876736Z     repeats = torch.tensor([4])
2022-05-18T04:54:43.7876970Z 
2022-05-18T04:54:43.7877199Z test/onnx/test_pytorch_onnx_onnxruntime.py: 129 warnings
2022-05-18T04:54:43.7878709Z   /opt/conda/lib/python3.7/site-packages/torch/nn/utils/rnn.py:250: TracerWarning: torch.as_tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:54:43.7879780Z     lengths = torch.as_tensor(lengths, dtype=torch.int64)
2022-05-18T04:54:43.7880166Z 
2022-05-18T04:54:43.7880392Z test/onnx/test_pytorch_onnx_onnxruntime.py: 65 warnings
2022-05-18T04:54:43.7881771Z   /opt/conda/lib/python3.7/site-packages/torch/nn/modules/rnn.py:436: TracerWarning: Converting a tensor to a Python integer might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:54:43.7882708Z     max_batch_size = int(batch_sizes[0])
2022-05-18T04:54:43.7882951Z 
2022-05-18T04:54:43.7883180Z test/onnx/test_pytorch_onnx_onnxruntime.py: 208 warnings
2022-05-18T04:54:43.7884582Z   /opt/conda/lib/python3.7/site-packages/torch/nn/modules/rnn.py:204: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:54:43.7885580Z     if self.input_size != input.size(-1):
2022-05-18T04:54:43.7885833Z 
2022-05-18T04:54:43.7886058Z test/onnx/test_pytorch_onnx_onnxruntime.py: 129 warnings
2022-05-18T04:54:43.7887524Z   /opt/conda/lib/python3.7/site-packages/torch/nn/modules/rnn.py:211: TracerWarning: Converting a tensor to a Python integer might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:54:43.7888482Z     mini_batch = int(batch_sizes[0])
2022-05-18T04:54:43.7888718Z 
2022-05-18T04:54:43.7888921Z test/onnx/test_pytorch_onnx_onnxruntime.py: 208 warnings
2022-05-18T04:54:43.7890362Z   /opt/conda/lib/python3.7/site-packages/torch/nn/modules/rnn.py:225: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:54:43.7891333Z     if hx.size() != expected_hidden_size:
2022-05-18T04:54:43.7891575Z 
2022-05-18T04:54:43.7891808Z test/onnx/test_pytorch_onnx_onnxruntime.py: 129 warnings
2022-05-18T04:54:43.7893230Z   /opt/conda/lib/python3.7/site-packages/torch/nn/utils/rnn.py:330: TracerWarning: Converting a tensor to a Python integer might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:54:43.7894244Z     sequence.data, sequence.batch_sizes, batch_first, padding_value, max_seq_length)
2022-05-18T04:54:43.7894760Z 
2022-05-18T04:54:43.7894996Z test/onnx/test_pytorch_onnx_onnxruntime.py: 49 warnings
2022-05-18T04:54:43.7896486Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/symbolic_opset9.py:3097: UserWarning: Exporting a model to ONNX with a batch_size other than 1, with a variable length with RNN_RELU can cause an error when running the ONNX model with a different batch size. Make sure to save the model with a batch size of 1, or define the initial states (h0/c0) as inputs of the model. 
2022-05-18T04:54:43.7897546Z     + "or define the initial states (h0/c0) as inputs of the model. "
2022-05-18T04:54:43.7897835Z 
2022-05-18T04:54:43.7898054Z test/onnx/test_pytorch_onnx_onnxruntime.py: 48 warnings
2022-05-18T04:54:43.7899152Z   /opt/conda/lib/python3.7/site-packages/torch/nn/modules/rnn.py:65: UserWarning: dropout option adds dropout after all but last recurrent layer, so non-zero dropout expects num_layers greater than 1, but got dropout=0.2 and num_layers=1
2022-05-18T04:54:43.7899934Z     "num_layers={}".format(dropout, num_layers))
2022-05-18T04:54:43.7900188Z 
2022-05-18T04:54:43.7900411Z test/onnx/test_pytorch_onnx_onnxruntime.py: 51 warnings
2022-05-18T04:54:43.7901906Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/symbolic_opset9.py:3097: UserWarning: Exporting a model to ONNX with a batch_size other than 1, with a variable length with RNN_TANH can cause an error when running the ONNX model with a different batch size. Make sure to save the model with a batch size of 1, or define the initial states (h0/c0) as inputs of the model. 
2022-05-18T04:54:43.7903079Z     + "or define the initial states (h0/c0) as inputs of the model. "
2022-05-18T04:54:43.7903372Z 
2022-05-18T04:54:43.7903690Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_embedding
2022-05-18T04:54:43.7904350Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_embedding_module
2022-05-18T04:54:43.7905853Z   /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:2130: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:54:43.7906884Z     assert padding_idx < weight.size(0), "Padding_idx must be within num_embeddings"
2022-05-18T04:54:43.7907225Z 
2022-05-18T04:54:43.7907527Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_embedding
2022-05-18T04:54:43.7908848Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/symbolic_opset9.py:538: UserWarning: Warning: ONNX export of embedding with padding_idx >= 0 for training mode. ONNX does not support not updating the embedding vector at padding_idx during training.
2022-05-18T04:54:43.7909733Z     "Warning: ONNX export of embedding with padding_idx >= 0 "
2022-05-18T04:54:43.7910027Z 
2022-05-18T04:54:43.7910371Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_embedding_bag_1d_per_sample_weights
2022-05-18T04:54:43.7911098Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_embedding_bag_2d_per_sample_weights
2022-05-18T04:54:43.7912610Z   /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:2269: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:54:43.7913677Z     if per_sample_weights is not None and input.size() != per_sample_weights.size():
2022-05-18T04:54:43.7914014Z 
2022-05-18T04:54:43.7914360Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_embedding_bag_2d_per_sample_weights
2022-05-18T04:54:43.7915556Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/utils.py:1522: UserWarning: No names were found for specified dynamic axes of provided input.Automatically generated names will be applied to each dynamic axes of input w
2022-05-18T04:54:43.7916262Z     key
2022-05-18T04:54:43.7916450Z 
2022-05-18T04:54:43.7916736Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_eye
2022-05-18T04:54:43.7918208Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:6400: TracerWarning: Converting a tensor to a Python integer might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:54:43.7919156Z     torch.eye(x.size()[1], 3),
2022-05-18T04:54:43.7919366Z 
2022-05-18T04:54:43.7919652Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_eye
2022-05-18T04:54:43.7921135Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:6402: TracerWarning: Converting a tensor to a Python integer might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:54:43.7922098Z     torch.eye(x.size()[1], 2, dtype=torch.long),
2022-05-18T04:54:43.7922441Z 
2022-05-18T04:54:43.7922724Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_eye
2022-05-18T04:54:43.7924202Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:6403: TracerWarning: Converting a tensor to a Python integer might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:54:43.7925128Z     torch.eye(x.shape[0]),
2022-05-18T04:54:43.7925349Z 
2022-05-18T04:54:43.7925634Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_eye
2022-05-18T04:54:43.7927099Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:6404: TracerWarning: Converting a tensor to a Python integer might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:54:43.7928073Z     torch.eye(x.shape[0], dtype=torch.float64),
2022-05-18T04:54:43.7928321Z 
2022-05-18T04:54:43.7928648Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_fake_quantize_activation
2022-05-18T04:54:43.7929388Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_qat_conv2d
2022-05-18T04:54:43.7930040Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_qat_conv2d_relu
2022-05-18T04:54:43.7930759Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_qat_conv2d_relu_fused
2022-05-18T04:54:43.7931431Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_qat_linear_per_channel
2022-05-18T04:54:43.7932068Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_qat_maxpool2d
2022-05-18T04:54:43.7932690Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_qat_relu
2022-05-18T04:54:43.7933894Z   /opt/conda/lib/python3.7/site-packages/torch/ao/quantization/observer.py:178: UserWarning: Please use quant_min and quant_max to specify the range for observers.                     reduce_range will be deprecated in a future release of PyTorch.
2022-05-18T04:54:43.7934880Z     reduce_range will be deprecated in a future release of PyTorch."
2022-05-18T04:54:43.7935188Z 
2022-05-18T04:54:43.7935508Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_fake_quantize_activation
2022-05-18T04:54:43.7936551Z   /opt/conda/lib/python3.7/site-packages/torch/ao/quantization/utils.py:281: UserWarning: must run observer before calling calculate_qparams. Returning default values.
2022-05-18T04:54:43.7937244Z     "must run observer before calling calculate_qparams. " +
2022-05-18T04:54:43.7937527Z 
2022-05-18T04:54:43.7937853Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_fake_quantize_activation
2022-05-18T04:54:43.7939399Z   /opt/conda/lib/python3.7/site-packages/torch/ao/quantization/fake_quantize.py:159: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:54:43.7940928Z     if self.observer_enabled[0] == 1:
2022-05-18T04:54:43.7941169Z 
2022-05-18T04:54:43.7941488Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_fake_quantize_activation
2022-05-18T04:54:43.7942996Z   /opt/conda/lib/python3.7/site-packages/torch/ao/quantization/fake_quantize.py:169: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:54:43.7943874Z     if self.fake_quant_enabled[0] == 1:
2022-05-18T04:54:43.7944043Z 
2022-05-18T04:54:43.7944389Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_faster_rcnn
2022-05-18T04:54:43.7945394Z   /opt/conda/lib/python3.7/site-packages/torch/functional.py:478: UserWarning: torch.meshgrid: in an upcoming release, it will be required to pass the indexing argument. (Triggered internally at  /var/lib/jenkins/workspace/aten/src/ATen/native/TensorShape.cpp:2904.)
2022-05-18T04:54:43.7946202Z     return _VF.meshgrid(tensors, **kwargs)  # type: ignore[attr-defined]
2022-05-18T04:54:43.7946441Z 
2022-05-18T04:54:43.7946671Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_faster_rcnn
2022-05-18T04:54:43.7947162Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_mask_rcnn
2022-05-18T04:54:43.7947681Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_transform_images
2022-05-18T04:54:43.7949008Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/detection/transform.py:126: TracerWarning: torch.as_tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:54:43.7949954Z     mean = torch.as_tensor(self.image_mean, dtype=dtype, device=device)
2022-05-18T04:54:43.7950203Z 
2022-05-18T04:54:43.7950440Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_faster_rcnn
2022-05-18T04:54:43.7950934Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_mask_rcnn
2022-05-18T04:54:43.7951423Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_transform_images
2022-05-18T04:54:43.7952723Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/detection/transform.py:127: TracerWarning: torch.as_tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:54:43.7953594Z     std = torch.as_tensor(self.image_std, dtype=dtype, device=device)
2022-05-18T04:54:43.7953831Z 
2022-05-18T04:54:43.7954060Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_faster_rcnn
2022-05-18T04:54:43.7954612Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_interpolate_adaptive_pooling_error
2022-05-18T04:54:43.7955113Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_mask_rcnn
2022-05-18T04:54:43.7955592Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_resize_images
2022-05-18T04:54:43.7956100Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_transform_images
2022-05-18T04:54:43.7957377Z   /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:3846: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:54:43.7958144Z     for i in range(dim)
2022-05-18T04:54:43.7958298Z 
2022-05-18T04:54:43.7958529Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_faster_rcnn
2022-05-18T04:54:43.7959007Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_mask_rcnn
2022-05-18T04:54:43.7959484Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_resize_images
2022-05-18T04:54:43.7959957Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_transform_images
2022-05-18T04:54:43.7961004Z   /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:3846: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor).
2022-05-18T04:54:43.7961741Z     for i in range(dim)
2022-05-18T04:54:43.7961905Z 
2022-05-18T04:54:43.7962148Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_faster_rcnn
2022-05-18T04:54:43.7962626Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_mask_rcnn
2022-05-18T04:54:43.7963132Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_roi_heads
2022-05-18T04:54:43.7963612Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_rpn
2022-05-18T04:54:43.7965121Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/detection/anchor_utils.py:148: UserWarning: __floordiv__ is deprecated, and its behavior will change in a future version of pytorch. It currently rounds toward 0 (like the 'trunc' function NOT 'floor'). This results in incorrect rounding for negative values. To keep the current behavior, use torch.div(a, b, rounding_mode='trunc'), or for actual floor division, use torch.div(a, b, rounding_mode='floor').
2022-05-18T04:54:43.7966133Z     torch.tensor(image_size[1] // g[1], dtype=torch.int64, device=device)] for g in grid_sizes]
2022-05-18T04:54:43.7966379Z 
2022-05-18T04:54:43.7966688Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_faster_rcnn
2022-05-18T04:54:43.7967194Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_mask_rcnn
2022-05-18T04:54:43.7967669Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_roi_heads
2022-05-18T04:54:43.7968139Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_rpn
2022-05-18T04:54:43.7969492Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/detection/anchor_utils.py:148: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:54:43.7970486Z     torch.tensor(image_size[1] // g[1], dtype=torch.int64, device=device)] for g in grid_sizes]
2022-05-18T04:54:43.7970754Z 
2022-05-18T04:54:43.7971008Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_faster_rcnn
2022-05-18T04:54:43.7971502Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_mask_rcnn
2022-05-18T04:54:43.7971938Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_roi_heads
2022-05-18T04:54:43.7972392Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_rpn
2022-05-18T04:54:43.7973530Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/detection/anchor_utils.py:148: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor).
2022-05-18T04:54:43.7974301Z     torch.tensor(image_size[1] // g[1], dtype=torch.int64, device=device)] for g in grid_sizes]
2022-05-18T04:54:43.7974692Z 
2022-05-18T04:54:43.7974921Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_faster_rcnn
2022-05-18T04:54:43.7975415Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_mask_rcnn
2022-05-18T04:54:43.7976756Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/detection/anchor_utils.py:61: TracerWarning: torch.as_tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:54:43.7977615Z     scales = torch.as_tensor(scales, dtype=dtype, device=device)
2022-05-18T04:54:43.7977837Z 
2022-05-18T04:54:43.7978183Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_faster_rcnn
2022-05-18T04:54:43.7978643Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_mask_rcnn
2022-05-18T04:54:43.7979941Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/detection/anchor_utils.py:62: TracerWarning: torch.as_tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:54:43.7980792Z     aspect_ratios = torch.as_tensor(aspect_ratios, dtype=dtype, device=device)
2022-05-18T04:54:43.7981036Z 
2022-05-18T04:54:43.7981264Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_faster_rcnn
2022-05-18T04:54:43.7981723Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_mask_rcnn
2022-05-18T04:54:43.7982217Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_roi_heads
2022-05-18T04:54:43.7982686Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_rpn
2022-05-18T04:54:43.7984061Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/detection/anchor_utils.py:136: TracerWarning: Converting a tensor to a Python integer might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:54:43.7984730Z     key = str(grid_sizes) + str(strides)
2022-05-18T04:54:43.7984919Z 
2022-05-18T04:54:43.7985149Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_faster_rcnn
2022-05-18T04:54:43.7985640Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_mask_rcnn
2022-05-18T04:54:43.7986128Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_roi_heads
2022-05-18T04:54:43.7986599Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_rpn
2022-05-18T04:54:43.7987805Z   /opt/conda/lib/python3.7/site-packages/torch/_tensor_str.py:424: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:54:43.7988510Z     if self.numel() == 0 and not self.is_sparse:
2022-05-18T04:54:43.7988704Z 
2022-05-18T04:54:43.7988927Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_faster_rcnn
2022-05-18T04:54:43.7989400Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_mask_rcnn
2022-05-18T04:54:43.7989855Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_roi_heads
2022-05-18T04:54:43.7990365Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_rpn
2022-05-18T04:54:43.7991598Z   /opt/conda/lib/python3.7/site-packages/torch/_tensor_str.py:237: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:54:43.7992283Z     if self.numel() == 0:
2022-05-18T04:54:43.7992447Z 
2022-05-18T04:54:43.7992686Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_faster_rcnn
2022-05-18T04:54:43.7993161Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_mask_rcnn
2022-05-18T04:54:43.7993631Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_roi_heads
2022-05-18T04:54:43.7994096Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_rpn
2022-05-18T04:54:43.7995274Z   /opt/conda/lib/python3.7/site-packages/torch/_tensor_str.py:270: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:54:43.7996166Z     formatter = _Formatter(get_summarized_data(self) if summarize else self)
2022-05-18T04:54:43.7996402Z 
2022-05-18T04:54:43.7996649Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_faster_rcnn
2022-05-18T04:54:43.7997110Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_mask_rcnn
2022-05-18T04:54:43.7997576Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_roi_heads
2022-05-18T04:54:43.7998039Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_rpn
2022-05-18T04:54:43.7999078Z   /opt/conda/lib/python3.7/site-packages/torch/_tensor_str.py:98: TracerWarning: Iterating over a tensor might cause the trace to be incorrect. Passing a tensor of different shape won't change the number of iterations executed (and might lead to errors or silently give incorrect results).
2022-05-18T04:54:43.7999692Z     for value in tensor_view:
2022-05-18T04:54:43.7999856Z 
2022-05-18T04:54:43.8000163Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_faster_rcnn
2022-05-18T04:54:43.8000638Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_mask_rcnn
2022-05-18T04:54:43.8001094Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_roi_heads
2022-05-18T04:54:43.8001556Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_rpn
2022-05-18T04:54:43.8002671Z   /opt/conda/lib/python3.7/site-packages/torch/_tensor.py:662: TracerWarning: Converting a tensor to a Python number might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:54:43.8003381Z     return self.item().__format__(format_spec)
2022-05-18T04:54:43.8003577Z 
2022-05-18T04:54:43.8003819Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_faster_rcnn
2022-05-18T04:54:43.8004422Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_mask_rcnn
2022-05-18T04:54:43.8005026Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_roi_heads
2022-05-18T04:54:43.8005594Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_rpn
2022-05-18T04:54:43.8006686Z   /opt/conda/lib/python3.7/site-packages/torch/_tensor_str.py:176: TracerWarning: Converting a tensor to a Python number might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:54:43.8007328Z     return formatter1.format(self.item())
2022-05-18T04:54:43.8007511Z 
2022-05-18T04:54:43.8007732Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_faster_rcnn
2022-05-18T04:54:43.8008177Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_mask_rcnn
2022-05-18T04:54:43.8008647Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_roi_heads
2022-05-18T04:54:43.8009128Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_rpn
2022-05-18T04:54:43.8010811Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/detection/rpn.py:85: UserWarning: __floordiv__ is deprecated, and its behavior will change in a future version of pytorch. It currently rounds toward 0 (like the 'trunc' function NOT 'floor'). This results in incorrect rounding for negative values. To keep the current behavior, use torch.div(a, b, rounding_mode='trunc'), or for actual floor division, use torch.div(a, b, rounding_mode='floor').
2022-05-18T04:54:43.8011656Z     A = Ax4 // 4
2022-05-18T04:54:43.8011809Z 
2022-05-18T04:54:43.8012147Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_faster_rcnn
2022-05-18T04:54:43.8012635Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_mask_rcnn
2022-05-18T04:54:43.8013126Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_roi_heads
2022-05-18T04:54:43.8013617Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_rpn
2022-05-18T04:54:43.8015450Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/detection/rpn.py:86: UserWarning: __floordiv__ is deprecated, and its behavior will change in a future version of pytorch. It currently rounds toward 0 (like the 'trunc' function NOT 'floor'). This results in incorrect rounding for negative values. To keep the current behavior, use torch.div(a, b, rounding_mode='trunc'), or for actual floor division, use torch.div(a, b, rounding_mode='floor').
2022-05-18T04:54:43.8016116Z     C = AxC // A
2022-05-18T04:54:43.8016213Z 
2022-05-18T04:54:43.8016395Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_faster_rcnn
2022-05-18T04:54:43.8016738Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_mask_rcnn
2022-05-18T04:54:43.8017227Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_roi_heads
2022-05-18T04:54:43.8017545Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_rpn
2022-05-18T04:54:43.8018404Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/detection/_utils.py:177: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:54:43.8018900Z     if box_sum > 0:
2022-05-18T04:54:43.8019011Z 
2022-05-18T04:54:43.8019173Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_faster_rcnn
2022-05-18T04:54:43.8019500Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_mask_rcnn
2022-05-18T04:54:43.8019832Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_roi_heads
2022-05-18T04:54:43.8020163Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_rpn
2022-05-18T04:54:43.8021032Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/detection/_utils.py:218: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:54:43.8021738Z     pred_boxes1 = pred_ctr_x - torch.tensor(0.5, dtype=pred_ctr_x.dtype, device=pred_w.device) * pred_w
2022-05-18T04:54:43.8021919Z 
2022-05-18T04:54:43.8022081Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_faster_rcnn
2022-05-18T04:54:43.8022416Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_mask_rcnn
2022-05-18T04:54:43.8022748Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_roi_heads
2022-05-18T04:54:43.8023059Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_rpn
2022-05-18T04:54:43.8023929Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/detection/_utils.py:219: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:54:43.8024633Z     pred_boxes2 = pred_ctr_y - torch.tensor(0.5, dtype=pred_ctr_y.dtype, device=pred_h.device) * pred_h
2022-05-18T04:54:43.8024830Z 
2022-05-18T04:54:43.8024991Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_faster_rcnn
2022-05-18T04:54:43.8025390Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_mask_rcnn
2022-05-18T04:54:43.8025707Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_roi_heads
2022-05-18T04:54:43.8026035Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_rpn
2022-05-18T04:54:43.8026901Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/detection/_utils.py:220: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:54:43.8027530Z     pred_boxes3 = pred_ctr_x + torch.tensor(0.5, dtype=pred_ctr_x.dtype, device=pred_w.device) * pred_w
2022-05-18T04:54:43.8027722Z 
2022-05-18T04:54:43.8027873Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_faster_rcnn
2022-05-18T04:54:43.8028212Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_mask_rcnn
2022-05-18T04:54:43.8028542Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_roi_heads
2022-05-18T04:54:43.8028902Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_rpn
2022-05-18T04:54:43.8029763Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/detection/_utils.py:221: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:54:43.8030380Z     pred_boxes4 = pred_ctr_y + torch.tensor(0.5, dtype=pred_ctr_y.dtype, device=pred_h.device) * pred_h
2022-05-18T04:54:43.8030572Z 
2022-05-18T04:54:43.8030731Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_faster_rcnn
2022-05-18T04:54:43.8031066Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_mask_rcnn
2022-05-18T04:54:43.8031393Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_roi_heads
2022-05-18T04:54:43.8031704Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_rpn
2022-05-18T04:54:43.8032525Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/detection/_utils.py:182: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:54:43.8033022Z     if box_sum > 0:
2022-05-18T04:54:43.8033131Z 
2022-05-18T04:54:43.8033291Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_faster_rcnn
2022-05-18T04:54:43.8033610Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_mask_rcnn
2022-05-18T04:54:43.8033942Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_roi_heads
2022-05-18T04:54:43.8034266Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_rpn
2022-05-18T04:54:43.8035131Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/detection/rpn.py:24: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:54:43.8035696Z     (torch.tensor([orig_pre_nms_top_n], dtype=num_anchors.dtype),
2022-05-18T04:54:43.8035855Z 
2022-05-18T04:54:43.8036013Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_faster_rcnn
2022-05-18T04:54:43.8036345Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_mask_rcnn
2022-05-18T04:54:43.8036707Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_roi_heads
2022-05-18T04:54:43.8037016Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_rpn
2022-05-18T04:54:43.8037828Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/detection/rpn.py:225: TracerWarning: Converting a tensor to a Python integer might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:54:43.8038353Z     _, top_n_idx = ob.topk(pre_nms_top_n, dim=1)
2022-05-18T04:54:43.8038490Z 
2022-05-18T04:54:43.8038648Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_faster_rcnn
2022-05-18T04:54:43.8038969Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_mask_rcnn
2022-05-18T04:54:43.8039299Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_roi_heads
2022-05-18T04:54:43.8039627Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_rpn
2022-05-18T04:54:43.8040421Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/detection/rpn.py:259: TracerWarning: Iterating over a tensor might cause the trace to be incorrect. Passing a tensor of different shape won't change the number of iterations executed (and might lead to errors or silently give incorrect results).
2022-05-18T04:54:43.8040961Z     for boxes, scores, lvl, img_shape in zip(proposals, objectness_prob, levels, image_shapes):
2022-05-18T04:54:43.8041147Z 
2022-05-18T04:54:43.8041309Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_faster_rcnn
2022-05-18T04:54:43.8041642Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_mask_rcnn
2022-05-18T04:54:43.8042436Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/ops/poolers.py:178: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:54:43.8042924Z     max_x = max(shape[0], max_x)
2022-05-18T04:54:43.8043043Z 
2022-05-18T04:54:43.8043202Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_faster_rcnn
2022-05-18T04:54:43.8043534Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_mask_rcnn
2022-05-18T04:54:43.8044332Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/ops/poolers.py:179: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:54:43.8044822Z     max_y = max(shape[1], max_y)
2022-05-18T04:54:43.8044929Z 
2022-05-18T04:54:43.8045088Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_faster_rcnn
2022-05-18T04:54:43.8045421Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_mask_rcnn
2022-05-18T04:54:43.8046214Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/ops/poolers.py:163: TracerWarning: Converting a tensor to a Python float might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:54:43.8046715Z     approx_scale = float(s1) / float(s2)
2022-05-18T04:54:43.8046847Z 
2022-05-18T04:54:43.8046994Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_faster_rcnn
2022-05-18T04:54:43.8047326Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_mask_rcnn
2022-05-18T04:54:43.8048189Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/ops/poolers.py:164: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:54:43.8048787Z     scale = 2 ** float(torch.tensor(approx_scale).log2().round())
2022-05-18T04:54:43.8048939Z 
2022-05-18T04:54:43.8049084Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_faster_rcnn
2022-05-18T04:54:43.8049415Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_mask_rcnn
2022-05-18T04:54:43.8050290Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/ops/poolers.py:164: TracerWarning: Converting a tensor to a Python float might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:54:43.8050826Z     scale = 2 ** float(torch.tensor(approx_scale).log2().round())
2022-05-18T04:54:43.8050979Z 
2022-05-18T04:54:43.8051175Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_faster_rcnn
2022-05-18T04:54:43.8051493Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_mask_rcnn
2022-05-18T04:54:43.8052352Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/ops/poolers.py:185: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:54:43.8053005Z     lvl_min = -torch.log2(torch.tensor(scales[0], dtype=torch.float32)).item()
2022-05-18T04:54:43.8053177Z 
2022-05-18T04:54:43.8053335Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_faster_rcnn
2022-05-18T04:54:43.8053660Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_mask_rcnn
2022-05-18T04:54:43.8054457Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/ops/poolers.py:185: TracerWarning: Converting a tensor to a Python number might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:54:43.8055246Z     lvl_min = -torch.log2(torch.tensor(scales[0], dtype=torch.float32)).item()
2022-05-18T04:54:43.8055419Z 
2022-05-18T04:54:43.8055579Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_faster_rcnn
2022-05-18T04:54:43.8055915Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_mask_rcnn
2022-05-18T04:54:43.8056756Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/ops/poolers.py:186: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:54:43.8057411Z     lvl_max = -torch.log2(torch.tensor(scales[-1], dtype=torch.float32)).item()
2022-05-18T04:54:43.8057583Z 
2022-05-18T04:54:43.8057745Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_faster_rcnn
2022-05-18T04:54:43.8058082Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_mask_rcnn
2022-05-18T04:54:43.8058871Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/ops/poolers.py:186: TracerWarning: Converting a tensor to a Python number might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:54:43.8059547Z     lvl_max = -torch.log2(torch.tensor(scales[-1], dtype=torch.float32)).item()
2022-05-18T04:54:43.8059718Z 
2022-05-18T04:54:43.8059882Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_faster_rcnn
2022-05-18T04:54:43.8060219Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_mask_rcnn
2022-05-18T04:54:43.8060534Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_roi_heads
2022-05-18T04:54:43.8061390Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/ops/poolers.py:79: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:54:43.8062008Z     target_lvls = torch.floor(self.lvl0 + torch.log2(s / self.s0) + torch.tensor(self.eps, dtype=s.dtype))
2022-05-18T04:54:43.8062205Z 
2022-05-18T04:54:43.8062367Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_faster_rcnn
2022-05-18T04:54:43.8062740Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_mask_rcnn
2022-05-18T04:54:43.8063060Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_roi_heads
2022-05-18T04:54:43.8063801Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/ops/poolers.py:239: TracerWarning: Using len to get tensor shape might cause the trace to be incorrect. Recommended usage would be tensor.shape[0]. Passing a tensor of different shape might lead to errors or silently give incorrect results.
2022-05-18T04:54:43.8064255Z     num_rois = len(rois)
2022-05-18T04:54:43.8064370Z 
2022-05-18T04:54:43.8064527Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_faster_rcnn
2022-05-18T04:54:43.8064846Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_mask_rcnn
2022-05-18T04:54:43.8065178Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_roi_heads
2022-05-18T04:54:43.8065507Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_roi_pool
2022-05-18T04:54:43.8066303Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/ops/_utils.py:33: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:54:43.8066909Z     assert boxes.size(1) == 5, 'The boxes tensor shape is not correct as Tensor[K, 5]'
2022-05-18T04:54:43.8067082Z 
2022-05-18T04:54:43.8067241Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_faster_rcnn
2022-05-18T04:54:43.8067573Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_mask_rcnn
2022-05-18T04:54:43.8067907Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_roi_heads
2022-05-18T04:54:43.8068774Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/detection/transform.py:275: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:54:43.8069337Z     for s, s_orig in zip(new_size, original_size)
2022-05-18T04:54:43.8069476Z 
2022-05-18T04:54:43.8069636Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_faster_rcnn
2022-05-18T04:54:43.8069969Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_mask_rcnn
2022-05-18T04:54:43.8070285Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_roi_heads
2022-05-18T04:54:43.8071050Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/detection/transform.py:275: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor).
2022-05-18T04:54:43.8071537Z     for s, s_orig in zip(new_size, original_size)
2022-05-18T04:54:43.8071675Z 
2022-05-18T04:54:43.8071836Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_faster_rcnn
2022-05-18T04:54:43.8072170Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_index_put_slice_index
2022-05-18T04:54:43.8072516Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_mask_rcnn
2022-05-18T04:54:43.8072846Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_roi_heads
2022-05-18T04:54:43.8073171Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_rpn
2022-05-18T04:54:43.8073510Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_tensor_index_advanced_indexing
2022-05-18T04:54:43.8073900Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_tensor_index_advanced_indexing_consecutive
2022-05-18T04:54:43.8074330Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_tensor_index_advanced_indexing_ellipsis
2022-05-18T04:54:43.8075253Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/symbolic_opset9.py:4017: UserWarning: Exporting aten::index operator of advanced indexing in opset 16 is achieved by combination of multiple ONNX operators, including Reshape, Transpose, Concat, and Gather. If indices include negative values, the exported graph will produce incorrect results.
2022-05-18T04:54:43.8075840Z     + "If indices include negative values, the exported graph will produce incorrect results."
2022-05-18T04:54:43.8076015Z 
2022-05-18T04:54:43.8076175Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_faster_rcnn
2022-05-18T04:54:43.8076516Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_mask_rcnn
2022-05-18T04:54:43.8076851Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_roi_heads
2022-05-18T04:54:43.8077165Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_rpn
2022-05-18T04:54:43.8078056Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/symbolic_opset9.py:757: UserWarning: This model contains a squeeze operation on dimension 1 on an input with unknown shape. Note that if the size of dimension 1 of the input is not 1, the ONNX model will return an error. Opset version 11 supports squeezing on non-singleton dimensions, it is recommended to export this model using opset version 11 or higher.
2022-05-18T04:54:43.8078597Z     + "version 11 or higher."
2022-05-18T04:54:43.8078713Z 
2022-05-18T04:54:43.8078873Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_faster_rcnn
2022-05-18T04:54:43.8079206Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_mask_rcnn
2022-05-18T04:54:43.8079835Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/utils.py:1522: UserWarning: No names were found for specified dynamic axes of provided input.Automatically generated names will be applied to each dynamic axes of input images_tensors
2022-05-18T04:54:43.8080217Z     key
2022-05-18T04:54:43.8080314Z 
2022-05-18T04:54:43.8080473Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_faster_rcnn
2022-05-18T04:54:43.8081103Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/utils.py:1522: UserWarning: No names were found for specified dynamic axes of provided input.Automatically generated names will be applied to each dynamic axes of input outputs
2022-05-18T04:54:43.8081463Z     key
2022-05-18T04:54:43.8081556Z 
2022-05-18T04:54:43.8081715Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_faster_rcnn
2022-05-18T04:54:43.8082053Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_mask_rcnn
2022-05-18T04:54:43.8082674Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:784: DeprecationWarning: BILINEAR is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.BILINEAR instead.
2022-05-18T04:54:43.8083085Z     image = Image.open(path).convert("RGB").resize(size, Image.BILINEAR)
2022-05-18T04:54:43.8083253Z 
2022-05-18T04:54:43.8083409Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_floor_div
2022-05-18T04:54:43.8084140Z   /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:426: UserWarning: floor_divide is deprecated, and will be removed in a future version of pytorch. It currently rounds toward 0 (like the 'trunc' function NOT 'floor'). This results in incorrect rounding for negative values.
2022-05-18T04:54:43.8084966Z   To keep the current behavior, use torch.div(a, b, rounding_mode='trunc'), or for actual floor division, use torch.div(a, b, rounding_mode='floor'). (Triggered internally at  /var/lib/jenkins/workspace/aten/src/ATen/native/BinaryOps.cpp:599.)
2022-05-18T04:54:43.8085359Z     return callable(*args, **kwargs)
2022-05-18T04:54:43.8085486Z 
2022-05-18T04:54:43.8085684Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_floor_div
2022-05-18T04:54:43.8086631Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2269: UserWarning: __floordiv__ is deprecated, and its behavior will change in a future version of pytorch. It currently rounds toward 0 (like the 'trunc' function NOT 'floor'). This results in incorrect rounding for negative values. To keep the current behavior, use torch.div(a, b, rounding_mode='trunc'), or for actual floor division, use torch.div(a, b, rounding_mode='floor').
2022-05-18T04:54:43.8087182Z     x // 3,
2022-05-18T04:54:43.8087283Z 
2022-05-18T04:54:43.8087439Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_floor_div
2022-05-18T04:54:43.8088378Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2270: UserWarning: __floordiv__ is deprecated, and its behavior will change in a future version of pytorch. It currently rounds toward 0 (like the 'trunc' function NOT 'floor'). This results in incorrect rounding for negative values. To keep the current behavior, use torch.div(a, b, rounding_mode='trunc'), or for actual floor division, use torch.div(a, b, rounding_mode='floor').
2022-05-18T04:54:43.8088928Z     x // 2.0,
2022-05-18T04:54:43.8089030Z 
2022-05-18T04:54:43.8089188Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_floor_div
2022-05-18T04:54:43.8090200Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2271: UserWarning: __floordiv__ is deprecated, and its behavior will change in a future version of pytorch. It currently rounds toward 0 (like the 'trunc' function NOT 'floor'). This results in incorrect rounding for negative values. To keep the current behavior, use torch.div(a, b, rounding_mode='trunc'), or for actual floor division, use torch.div(a, b, rounding_mode='floor').
2022-05-18T04:54:43.8090779Z     x.to(dtype=torch.float64) // 3,
2022-05-18T04:54:43.8090908Z 
2022-05-18T04:54:43.8091050Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_floor_div
2022-05-18T04:54:43.8092007Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2272: UserWarning: __floordiv__ is deprecated, and its behavior will change in a future version of pytorch. It currently rounds toward 0 (like the 'trunc' function NOT 'floor'). This results in incorrect rounding for negative values. To keep the current behavior, use torch.div(a, b, rounding_mode='trunc'), or for actual floor division, use torch.div(a, b, rounding_mode='floor').
2022-05-18T04:54:43.8092581Z     x.to(dtype=torch.float64) // 2.0,
2022-05-18T04:54:43.8092713Z 
2022-05-18T04:54:43.8092872Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_floor_div
2022-05-18T04:54:43.8093813Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2273: UserWarning: __floordiv__ is deprecated, and its behavior will change in a future version of pytorch. It currently rounds toward 0 (like the 'trunc' function NOT 'floor'). This results in incorrect rounding for negative values. To keep the current behavior, use torch.div(a, b, rounding_mode='trunc'), or for actual floor division, use torch.div(a, b, rounding_mode='floor').
2022-05-18T04:54:43.8094444Z     x.to(dtype=torch.int64) // 3,
2022-05-18T04:54:43.8094646Z 
2022-05-18T04:54:43.8094804Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_floor_div
2022-05-18T04:54:43.8095760Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2274: UserWarning: __floordiv__ is deprecated, and its behavior will change in a future version of pytorch. It currently rounds toward 0 (like the 'trunc' function NOT 'floor'). This results in incorrect rounding for negative values. To keep the current behavior, use torch.div(a, b, rounding_mode='trunc'), or for actual floor division, use torch.div(a, b, rounding_mode='floor').
2022-05-18T04:54:43.8096337Z     x.to(dtype=torch.int64) // 2.0,
2022-05-18T04:54:43.8096463Z 
2022-05-18T04:54:43.8096678Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_floor_div
2022-05-18T04:54:43.8097620Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2275: UserWarning: __floordiv__ is deprecated, and its behavior will change in a future version of pytorch. It currently rounds toward 0 (like the 'trunc' function NOT 'floor'). This results in incorrect rounding for negative values. To keep the current behavior, use torch.div(a, b, rounding_mode='trunc'), or for actual floor division, use torch.div(a, b, rounding_mode='floor').
2022-05-18T04:54:43.8098178Z     x // (y + 1.0).to(dtype=torch.int64),
2022-05-18T04:54:43.8098306Z 
2022-05-18T04:54:43.8098464Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_floor_div
2022-05-18T04:54:43.8099405Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2276: UserWarning: __floordiv__ is deprecated, and its behavior will change in a future version of pytorch. It currently rounds toward 0 (like the 'trunc' function NOT 'floor'). This results in incorrect rounding for negative values. To keep the current behavior, use torch.div(a, b, rounding_mode='trunc'), or for actual floor division, use torch.div(a, b, rounding_mode='floor').
2022-05-18T04:54:43.8099957Z     x // y,
2022-05-18T04:54:43.8100057Z 
2022-05-18T04:54:43.8100217Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_floor_div
2022-05-18T04:54:43.8101143Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2277: UserWarning: __floordiv__ is deprecated, and its behavior will change in a future version of pytorch. It currently rounds toward 0 (like the 'trunc' function NOT 'floor'). This results in incorrect rounding for negative values. To keep the current behavior, use torch.div(a, b, rounding_mode='trunc'), or for actual floor division, use torch.div(a, b, rounding_mode='floor').
2022-05-18T04:54:43.8101761Z     x.to(dtype=torch.float64) // y.to(dtype=torch.int64),
2022-05-18T04:54:43.8101911Z 
2022-05-18T04:54:43.8102073Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_floor_div
2022-05-18T04:54:43.8103013Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2278: UserWarning: __floordiv__ is deprecated, and its behavior will change in a future version of pytorch. It currently rounds toward 0 (like the 'trunc' function NOT 'floor'). This results in incorrect rounding for negative values. To keep the current behavior, use torch.div(a, b, rounding_mode='trunc'), or for actual floor division, use torch.div(a, b, rounding_mode='floor').
2022-05-18T04:54:43.8103620Z     x.to(dtype=torch.float64) // y.to(dtype=torch.float64),
2022-05-18T04:54:43.8103772Z 
2022-05-18T04:54:43.8103915Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_floor_div
2022-05-18T04:54:43.8104908Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2279: UserWarning: __floordiv__ is deprecated, and its behavior will change in a future version of pytorch. It currently rounds toward 0 (like the 'trunc' function NOT 'floor'). This results in incorrect rounding for negative values. To keep the current behavior, use torch.div(a, b, rounding_mode='trunc'), or for actual floor division, use torch.div(a, b, rounding_mode='floor').
2022-05-18T04:54:43.8105512Z     x.to(dtype=torch.int64) // y.to(dtype=torch.int64),
2022-05-18T04:54:43.8105659Z 
2022-05-18T04:54:43.8105819Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_floor_div
2022-05-18T04:54:43.8106747Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2280: UserWarning: __floordiv__ is deprecated, and its behavior will change in a future version of pytorch. It currently rounds toward 0 (like the 'trunc' function NOT 'floor'). This results in incorrect rounding for negative values. To keep the current behavior, use torch.div(a, b, rounding_mode='trunc'), or for actual floor division, use torch.div(a, b, rounding_mode='floor').
2022-05-18T04:54:43.8107318Z     x.to(dtype=torch.int64) // y,
2022-05-18T04:54:43.8107431Z 
2022-05-18T04:54:43.8107620Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_floordiv
2022-05-18T04:54:43.8108554Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2301: UserWarning: __floordiv__ is deprecated, and its behavior will change in a future version of pytorch. It currently rounds toward 0 (like the 'trunc' function NOT 'floor'). This results in incorrect rounding for negative values. To keep the current behavior, use torch.div(a, b, rounding_mode='trunc'), or for actual floor division, use torch.div(a, b, rounding_mode='floor').
2022-05-18T04:54:43.8109141Z     return x.new_zeros(x.size(2) // x.size(1))
2022-05-18T04:54:43.8109274Z 
2022-05-18T04:54:43.8109438Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_groupnorm
2022-05-18T04:54:43.8109768Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_groupnorm_noaffine
2022-05-18T04:54:43.8110720Z   /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:2464: UserWarning: __floordiv__ is deprecated, and its behavior will change in a future version of pytorch. It currently rounds toward 0 (like the 'trunc' function NOT 'floor'). This results in incorrect rounding for negative values. To keep the current behavior, use torch.div(a, b, rounding_mode='trunc'), or for actual floor division, use torch.div(a, b, rounding_mode='floor').
2022-05-18T04:54:43.8111368Z     _verify_batch_size([input.size(0) * input.size(1) // num_groups, num_groups] + list(input.size()[2:]))
2022-05-18T04:54:43.8111554Z 
2022-05-18T04:54:43.8111676Z test/onnx/test_pytorch_onnx_onnxruntime.py: 52 warnings
2022-05-18T04:54:43.8112463Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/symbolic_opset9.py:3097: UserWarning: Exporting a model to ONNX with a batch_size other than 1, with a variable length with GRU can cause an error when running the ONNX model with a different batch size. Make sure to save the model with a batch size of 1, or define the initial states (h0/c0) as inputs of the model. 
2022-05-18T04:54:43.8113013Z     + "or define the initial states (h0/c0) as inputs of the model. "
2022-05-18T04:54:43.8113155Z 
2022-05-18T04:54:43.8113273Z test/onnx/test_pytorch_onnx_onnxruntime.py: 32 warnings
2022-05-18T04:54:43.8114021Z   /opt/conda/lib/python3.7/site-packages/torch/nn/modules/rnn.py:918: TracerWarning: Converting a tensor to a Python integer might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:54:43.8114518Z     max_batch_size = int(max_batch_size)
2022-05-18T04:54:43.8114645Z 
2022-05-18T04:54:43.8114857Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_hann_window_default_values
2022-05-18T04:54:43.8115658Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:11822: TracerWarning: Converting a tensor to a Python integer might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:54:43.8116198Z     return torch.add(x, F.relu(torch.hann_window(self.window_length)))
2022-05-18T04:54:43.8116365Z 
2022-05-18T04:54:43.8116538Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_hann_window_not_periodic
2022-05-18T04:54:43.8117335Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:11800: TracerWarning: Converting a tensor to a Python integer might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:54:43.8117861Z     self.window_length, periodic=False, dtype=torch.float
2022-05-18T04:54:43.8118014Z 
2022-05-18T04:54:43.8118200Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_hann_window_periodic
2022-05-18T04:54:43.8118998Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:11778: TracerWarning: Converting a tensor to a Python integer might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:54:43.8119521Z     self.window_length, periodic=True, dtype=torch.float
2022-05-18T04:54:43.8119674Z 
2022-05-18T04:54:43.8119845Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_heatmaps_to_keypoints
2022-05-18T04:54:43.8120846Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/detection/roi_heads.py:269: UserWarning: __floordiv__ is deprecated, and its behavior will change in a future version of pytorch. It currently rounds toward 0 (like the 'trunc' function NOT 'floor'). This results in incorrect rounding for negative values. To keep the current behavior, use torch.div(a, b, rounding_mode='trunc'), or for actual floor division, use torch.div(a, b, rounding_mode='floor').
2022-05-18T04:54:43.8121470Z     y_int = (pos - x_int) // w
2022-05-18T04:54:43.8121590Z 
2022-05-18T04:54:43.8121747Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_if_fold
2022-05-18T04:54:43.8122531Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:7859: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:54:43.8123005Z     if y.numel() > 1:
2022-05-18T04:54:43.8123119Z 
2022-05-18T04:54:43.8123273Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_if_fold
2022-05-18T04:54:43.8124044Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:7928: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:54:43.8124523Z     if y.numel() != 0 and y.dim() == 2:
2022-05-18T04:54:43.8124646Z 
2022-05-18T04:54:43.8124805Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_if_fold
2022-05-18T04:54:43.8125592Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:7940: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:54:43.8126105Z     if x.numel() == y.numel():
2022-05-18T04:54:43.8126213Z 
2022-05-18T04:54:43.8126368Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_if_fold
2022-05-18T04:54:43.8127152Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:7952: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:54:43.8127626Z     if x.numel() != y.numel():
2022-05-18T04:54:43.8127744Z 
2022-05-18T04:54:43.8127920Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_index_add_dim_size_differ
2022-05-18T04:54:43.8128272Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_index_add_dynamic_axes
2022-05-18T04:54:43.8128620Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_index_add_if
2022-05-18T04:54:43.8128963Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_index_add_in_loop
2022-05-18T04:54:43.8129331Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_index_add_normal
2022-05-18T04:54:43.8129935Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/symbolic_opset9.py:4597: UserWarning: Warning: ONNX export does not support duplicated values in 'index' field, this will cause the ONNX model to be incorrect.
2022-05-18T04:54:43.8130518Z     "Warning: ONNX export does not support duplicated values in 'index' field, "
2022-05-18T04:54:43.8130692Z 
2022-05-18T04:54:43.8130853Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_index_copy
2022-05-18T04:54:43.8131463Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:3991: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:54:43.8131971Z     index = torch.tensor([2, 0])
2022-05-18T04:54:43.8132093Z 
2022-05-18T04:54:43.8132254Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_index_fill
2022-05-18T04:54:43.8132862Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:3981: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:54:43.8133370Z     index = torch.tensor([2, 0])
2022-05-18T04:54:43.8133491Z 
2022-05-18T04:54:43.8133647Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_index_mask
2022-05-18T04:54:43.8134351Z   /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:426: UserWarning: indexing with dtype torch.uint8 is now deprecated, please use a dtype torch.bool instead. (Triggered internally at  /var/lib/jenkins/workspace/aten/src/ATen/native/IndexingUtils.h:28.)
2022-05-18T04:54:43.8134880Z     return callable(*args, **kwargs)
2022-05-18T04:54:43.8135008Z 
2022-05-18T04:54:43.8135167Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_index_mask
2022-05-18T04:54:43.8135683Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:1111: UserWarning: indexing with dtype torch.uint8 is now deprecated, please use a dtype torch.bool instead. (Triggered internally at  /var/lib/jenkins/workspace/aten/src/ATen/native/IndexingUtils.h:28.)
2022-05-18T04:54:43.8136141Z     return input[torch.tensor([0, 1, 0], dtype=torch.uint8)]
2022-05-18T04:54:43.8136291Z 
2022-05-18T04:54:43.8136447Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_index_mask
2022-05-18T04:54:43.8137110Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:1111: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:54:43.8137654Z     return input[torch.tensor([0, 1, 0], dtype=torch.uint8)]
2022-05-18T04:54:43.8137801Z 
2022-05-18T04:54:43.8137956Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_index_mask
2022-05-18T04:54:43.8138548Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:1118: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:54:43.8139103Z     return input[torch.tensor([0, 1, 0], dtype=torch.bool)]
2022-05-18T04:54:43.8139252Z 
2022-05-18T04:54:43.8139455Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_index_put_ellipsis
2022-05-18T04:54:43.8140074Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2966: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:54:43.8140597Z     x[..., torch.tensor([2, 1, 3]), 2:4] += update
2022-05-18T04:54:43.8140713Z 
2022-05-18T04:54:43.8140881Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_index_put_ellipsis
2022-05-18T04:54:43.8141495Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2975: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:54:43.8142029Z     x[2, ..., torch.tensor([2, 1, 3]), 2:4] += update
2022-05-18T04:54:43.8142160Z 
2022-05-18T04:54:43.8142320Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_index_put_if
2022-05-18T04:54:43.8142652Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_index_put_if_3
2022-05-18T04:54:43.8142994Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_index_put_if_4
2022-05-18T04:54:43.8143332Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_index_put_if_5
2022-05-18T04:54:43.8143682Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_index_put_inplace_ops
2022-05-18T04:54:43.8144324Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/utils.py:1522: UserWarning: No names were found for specified dynamic axes of provided input.Automatically generated names will be applied to each dynamic axes of input random_data
2022-05-18T04:54:43.8144707Z     key
2022-05-18T04:54:43.8144802Z 
2022-05-18T04:54:43.8144964Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_index_put_if
2022-05-18T04:54:43.8145305Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_index_put_if_3
2022-05-18T04:54:43.8145635Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_index_put_if_4
2022-05-18T04:54:43.8145973Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_index_put_if_5
2022-05-18T04:54:43.8146605Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/utils.py:1522: UserWarning: No names were found for specified dynamic axes of provided input.Automatically generated names will be applied to each dynamic axes of input empty_tensor
2022-05-18T04:54:43.8147009Z     key
2022-05-18T04:54:43.8147103Z 
2022-05-18T04:54:43.8147262Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_index_put_if_2
2022-05-18T04:54:43.8147887Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/utils.py:1522: UserWarning: No names were found for specified dynamic axes of provided input.Automatically generated names will be applied to each dynamic axes of input data
2022-05-18T04:54:43.8148258Z     key
2022-05-18T04:54:43.8148352Z 
2022-05-18T04:54:43.8148500Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_index_put_if_2
2022-05-18T04:54:43.8149123Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/utils.py:1522: UserWarning: No names were found for specified dynamic axes of provided input.Automatically generated names will be applied to each dynamic axes of input state
2022-05-18T04:54:43.8149493Z     key
2022-05-18T04:54:43.8149588Z 
2022-05-18T04:54:43.8149753Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_index_put_singular
2022-05-18T04:54:43.8150393Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2848: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:54:43.8150917Z     mask[indices] = torch.tensor(5.5)
2022-05-18T04:54:43.8151046Z 
2022-05-18T04:54:43.8151215Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_index_put_slice_index
2022-05-18T04:54:43.8151833Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2870: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:54:43.8152351Z     x[1:2, 1:3, torch.tensor([1])] += update
2022-05-18T04:54:43.8152477Z 
2022-05-18T04:54:43.8152637Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_index_put_slice_index
2022-05-18T04:54:43.8153253Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2879: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:54:43.8153793Z     x[torch.tensor([0, 2]), torch.tensor([1, 2])] += update
2022-05-18T04:54:43.8153934Z 
2022-05-18T04:54:43.8154105Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_index_put_slice_index
2022-05-18T04:54:43.8154724Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2888: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:54:43.8155246Z     x[torch.tensor([0, 2]), 1:2] += update
2022-05-18T04:54:43.8155359Z 
2022-05-18T04:54:43.8155528Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_index_put_slice_index
2022-05-18T04:54:43.8156147Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2897: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:54:43.8156695Z     x[torch.tensor([0, 2]), 2] += update
2022-05-18T04:54:43.8156819Z 
2022-05-18T04:54:43.8156989Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_index_put_slice_index
2022-05-18T04:54:43.8157593Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2906: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:54:43.8158114Z     x[1:3, torch.tensor([0, 2]), 2] += update
2022-05-18T04:54:43.8158241Z 
2022-05-18T04:54:43.8158431Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_index_select_constant_scaler_index
2022-05-18T04:54:43.8159056Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:4018: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:54:43.8159630Z     return torch.index_select(x, 1, torch.tensor(index))
2022-05-18T04:54:43.8159780Z 
2022-05-18T04:54:43.8159937Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_initializer_sequence
2022-05-18T04:54:43.8160291Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_onnx_proto_checker
2022-05-18T04:54:43.8160650Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_script_custom_class_error
2022-05-18T04:54:43.8161593Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/utils.py:56: UserWarning: You are exporting the model to ONNX while in training mode with 'train' parameter not specified. The model will default to inference mode export. If you wish to export a training amenable ONNX model, specify training=TrainingMode.TRAINING or training=TrainingMode.PRESERVE (to preserve the original model state) in torch.onnx.export().
2022-05-18T04:54:43.8162230Z     "You are exporting the model to ONNX while in training mode with "
2022-05-18T04:54:43.8162383Z 
2022-05-18T04:54:43.8162546Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_inplace_list
2022-05-18T04:54:43.8162896Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_interpolate_no_shape
2022-05-18T04:54:43.8163242Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_list_pass
2022-05-18T04:54:43.8163555Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_set_
2022-05-18T04:54:43.8163897Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_split_size_with_slice
2022-05-18T04:54:43.8164258Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_symbolic_shape_inference
2022-05-18T04:54:43.8164893Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/utils.py:1522: UserWarning: No names were found for specified dynamic axes of provided input.Automatically generated names will be applied to each dynamic axes of input y
2022-05-18T04:54:43.8165250Z     key
2022-05-18T04:54:43.8165346Z 
2022-05-18T04:54:43.8165532Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_instancenorm1d_norunningstats
2022-05-18T04:54:43.8165913Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_instancenorm2d_norunningstats
2022-05-18T04:54:43.8166294Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_instancenorm3d_norunningstats
2022-05-18T04:54:43.8166663Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_instancenorm_eval_mode_train_layer
2022-05-18T04:54:43.8167371Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/symbolic_helper.py:1139: UserWarning: ONNX export mode is set to inference mode, but operator instance_norm is set to training  mode. The operators will be exported in training , as specified by the functional operator.
2022-05-18T04:54:43.8167874Z     + ", as specified by the functional operator."
2022-05-18T04:54:43.8168016Z 
2022-05-18T04:54:43.8168204Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_instancenorm1d_norunningstats
2022-05-18T04:54:43.8168568Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_instancenorm2d_norunningstats
2022-05-18T04:54:43.8168946Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_instancenorm3d_norunningstats
2022-05-18T04:54:43.8169329Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_instancenorm_eval_mode_train_layer
2022-05-18T04:54:43.8169696Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_instancenorm_training
2022-05-18T04:54:43.8170057Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_instancenorm_training_mode_fix_layer
2022-05-18T04:54:43.8170985Z   /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:2397: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:54:43.8171466Z     if size_prods == 1:
2022-05-18T04:54:43.8171581Z 
2022-05-18T04:54:43.8171776Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_interpolate_adaptive_pooling_error
2022-05-18T04:54:43.8172366Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/symbolic_helper.py:432: UserWarning: ONNX export failed on adaptive_avg_pool1d because output size that are not factor of input size not supported
2022-05-18T04:54:43.8172782Z     "ONNX export failed on " + op + " because " + msg + " not supported"
2022-05-18T04:54:43.8172942Z 
2022-05-18T04:54:43.8173102Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_kldiv_loss
2022-05-18T04:54:43.8173437Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_kldiv_loss
2022-05-18T04:54:43.8173757Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_kldiv_loss
2022-05-18T04:54:43.8174092Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_kldiv_loss
2022-05-18T04:54:43.8174425Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_kldiv_loss
2022-05-18T04:54:43.8174835Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_kldiv_loss
2022-05-18T04:54:43.8175605Z   /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:2853: UserWarning: reduction: 'mean' divides the total loss by both the batch size and the support size.'batchmean' divides only by the batch size, and aligns with the KL div math definition.'mean' will be changed to behave the same as 'batchmean' in the next major release.
2022-05-18T04:54:43.8176078Z     warnings.warn(
2022-05-18T04:54:43.8176190Z 
2022-05-18T04:54:43.8176346Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_kldiv_loss
2022-05-18T04:54:43.8177114Z   /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:2854: UserWarning: reduction: 'mean' divides the total loss by both the batch size and the support size.'batchmean' divides only by the batch size, and aligns with the KL div math definition.'mean' will be changed to behave the same as 'batchmean' in the next major release.
2022-05-18T04:54:43.8177720Z     "reduction: 'mean' divides the total loss by both the batch size and the support size."
2022-05-18T04:54:43.8177901Z 
2022-05-18T04:54:43.8178061Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_kldiv_loss
2022-05-18T04:54:43.8178589Z   /opt/conda/lib/python3.7/site-packages/torch/nn/_reduction.py:42: UserWarning: size_average and reduce args will be deprecated, please use reduction='sum' instead.
2022-05-18T04:54:43.8178989Z     warnings.warn(warning.format(ret))
2022-05-18T04:54:43.8179124Z 
2022-05-18T04:54:43.8179267Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_linspace
2022-05-18T04:54:43.8180062Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2587: TracerWarning: Converting a tensor to a Python integer might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:54:43.8180567Z     return torch.linspace(start, end, steps)
2022-05-18T04:54:43.8180707Z 
2022-05-18T04:54:43.8180886Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_linspace_negative_start
2022-05-18T04:54:43.8181694Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2598: TracerWarning: Converting a tensor to a Python integer might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:54:43.8182191Z     return torch.linspace(start, end, steps)
2022-05-18T04:54:43.8182330Z 
2022-05-18T04:54:43.8182532Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_lower_tuple
2022-05-18T04:54:43.8183321Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:9174: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:54:43.8183851Z     if f.size(0) != input1.size(-1):
2022-05-18T04:54:43.8183977Z 
2022-05-18T04:54:43.8184140Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_lower_tuple_3
2022-05-18T04:54:43.8184918Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:9215: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:54:43.8185398Z     if c.shape[0] == e.shape[0]:
2022-05-18T04:54:43.8185517Z 
2022-05-18T04:54:43.8185637Z test/onnx/test_pytorch_onnx_onnxruntime.py: 60 warnings
2022-05-18T04:54:43.8186426Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/symbolic_opset9.py:3097: UserWarning: Exporting a model to ONNX with a batch_size other than 1, with a variable length with LSTM can cause an error when running the ONNX model with a different batch size. Make sure to save the model with a batch size of 1, or define the initial states (h0/c0) as inputs of the model. 
2022-05-18T04:54:43.8186973Z     + "or define the initial states (h0/c0) as inputs of the model. "
2022-05-18T04:54:43.8187116Z 
2022-05-18T04:54:43.8187287Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_lstm_proj_no_hidden
2022-05-18T04:54:43.8187821Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/symbolic_helper.py:432: UserWarning: ONNX export failed on LSTM because LSTMs with projections not supported
2022-05-18T04:54:43.8188209Z     "ONNX export failed on " + op + " because " + msg + " not supported"
2022-05-18T04:54:43.8188373Z 
2022-05-18T04:54:43.8188478Z test/onnx/test_pytorch_onnx_onnxruntime.py: 32 warnings
2022-05-18T04:54:43.8189223Z   /opt/conda/lib/python3.7/site-packages/torch/nn/modules/rnn.py:728: TracerWarning: Converting a tensor to a Python integer might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:54:43.8189708Z     max_batch_size = int(max_batch_size)
2022-05-18T04:54:43.8189836Z 
2022-05-18T04:54:43.8189954Z test/onnx/test_pytorch_onnx_onnxruntime.py: 32 warnings
2022-05-18T04:54:43.8190756Z   /opt/conda/lib/python3.7/site-packages/torch/nn/modules/rnn.py:677: TracerWarning: Converting a tensor to a Python integer might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:54:43.8191220Z     mini_batch = int(batch_sizes[0])
2022-05-18T04:54:43.8191344Z 
2022-05-18T04:54:43.8191505Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_mask_rcnn
2022-05-18T04:54:43.8191852Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_paste_mask_in_image
2022-05-18T04:54:43.8192747Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/detection/roi_heads.py:372: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:54:43.8193372Z     return torch.tensor(M + 2 * padding).to(torch.float32) / torch.tensor(M).to(torch.float32)
2022-05-18T04:54:43.8193547Z 
2022-05-18T04:54:43.8193750Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_mask_rcnn
2022-05-18T04:54:43.8194095Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_paste_mask_in_image
2022-05-18T04:54:43.8194841Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/detection/roi_heads.py:372: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor).
2022-05-18T04:54:43.8195377Z     return torch.tensor(M + 2 * padding).to(torch.float32) / torch.tensor(M).to(torch.float32)
2022-05-18T04:54:43.8195559Z 
2022-05-18T04:54:43.8195708Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_mask_rcnn
2022-05-18T04:54:43.8196333Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/utils.py:1522: UserWarning: No names were found for specified dynamic axes of provided input.Automatically generated names will be applied to each dynamic axes of input boxes
2022-05-18T04:54:43.8196707Z     key
2022-05-18T04:54:43.8196805Z 
2022-05-18T04:54:43.8196961Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_mask_rcnn
2022-05-18T04:54:43.8197570Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/utils.py:1522: UserWarning: No names were found for specified dynamic axes of provided input.Automatically generated names will be applied to each dynamic axes of input labels
2022-05-18T04:54:43.8197939Z     key
2022-05-18T04:54:43.8198032Z 
2022-05-18T04:54:43.8198189Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_mask_rcnn
2022-05-18T04:54:43.8198807Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/utils.py:1522: UserWarning: No names were found for specified dynamic axes of provided input.Automatically generated names will be applied to each dynamic axes of input scores
2022-05-18T04:54:43.8199167Z     key
2022-05-18T04:54:43.8199262Z 
2022-05-18T04:54:43.8199424Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_mask_rcnn
2022-05-18T04:54:43.8200046Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/utils.py:1522: UserWarning: No names were found for specified dynamic axes of provided input.Automatically generated names will be applied to each dynamic axes of input masks
2022-05-18T04:54:43.8200414Z     key
2022-05-18T04:54:43.8200494Z 
2022-05-18T04:54:43.8200659Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_masked_fill
2022-05-18T04:54:43.8201005Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_masked_fill_inplace
2022-05-18T04:54:43.8201820Z   /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:426: UserWarning: masked_fill_ received a mask with dtype torch.uint8, this behavior is now deprecated,please use a mask with dtype torch.bool instead. (Triggered internally at  /var/lib/jenkins/workspace/aten/src/ATen/native/TensorAdvancedIndexing.cpp:1582.)
2022-05-18T04:54:43.8202386Z     return callable(*args, **kwargs)
2022-05-18T04:54:43.8202514Z 
2022-05-18T04:54:43.8202659Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_masked_fill
2022-05-18T04:54:43.8203246Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:6890: UserWarning: masked_fill_ received a mask with dtype torch.uint8, this behavior is now deprecated,please use a mask with dtype torch.bool instead. (Triggered internally at  /var/lib/jenkins/workspace/aten/src/ATen/native/TensorAdvancedIndexing.cpp:1582.)
2022-05-18T04:54:43.8203747Z     return x.masked_fill(mask, 2)
2022-05-18T04:54:43.8203871Z 
2022-05-18T04:54:43.8204031Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_masked_fill
2022-05-18T04:54:43.8204683Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:6889: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:54:43.8205222Z     mask = torch.tensor([[0, 0, 1], [1, 1, 0]], dtype=torch.uint8)
2022-05-18T04:54:43.8205370Z 
2022-05-18T04:54:43.8205531Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_narrow_dynamic
2022-05-18T04:54:43.8206324Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:3972: TracerWarning: Converting a tensor to a Python integer might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:54:43.8206890Z     return torch.narrow(input, 0, 0, input.shape[0] - 1)
2022-05-18T04:54:43.8207041Z 
2022-05-18T04:54:43.8207221Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_nllloss_dynamic_ignore_index
2022-05-18T04:54:43.8208004Z   /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:2638: TracerWarning: Converting a tensor to a Python integer might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:54:43.8208567Z     return torch._C._nn.nll_loss_nd(input, target, weight, _Reduction.get_enum(reduction), ignore_index)
2022-05-18T04:54:43.8208761Z 
2022-05-18T04:54:43.8208917Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_one_hot
2022-05-18T04:54:43.8209703Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:4396: TracerWarning: Converting a tensor to a Python integer might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:54:43.8210301Z     return torch.nn.functional.one_hot(x, num_classes[0])
2022-05-18T04:54:43.8210443Z 
2022-05-18T04:54:43.8210603Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_qat_conv2d
2022-05-18T04:54:43.8210944Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_qat_conv2d_relu
2022-05-18T04:54:43.8211298Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_qat_conv2d_relu_fused
2022-05-18T04:54:43.8211640Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_qat_linear_per_channel
2022-05-18T04:54:43.8211992Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_qat_maxpool2d
2022-05-18T04:54:43.8212373Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_qat_relu
2022-05-18T04:54:43.8212971Z   /opt/conda/lib/python3.7/site-packages/torch/ao/quantization/observer.py:1137: UserWarning: must run observer before calling calculate_qparams.                                    Returning default scale and zero point 
2022-05-18T04:54:43.8213344Z     Returning default scale and zero point "
2022-05-18T04:54:43.8213482Z 
2022-05-18T04:54:43.8213641Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_qat_conv2d
2022-05-18T04:54:43.8213980Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_qat_conv2d_relu
2022-05-18T04:54:43.8214330Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_qat_conv2d_relu_fused
2022-05-18T04:54:43.8214753Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_qat_linear_per_channel
2022-05-18T04:54:43.8215101Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_qat_maxpool2d
2022-05-18T04:54:43.8215437Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_qat_relu
2022-05-18T04:54:43.8216279Z   /opt/conda/lib/python3.7/site-packages/torch/nn/quantized/modules/__init__.py:53: TracerWarning: Converting a tensor to a Python float might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:54:43.8216800Z     return torch.quantize_per_tensor(X, float(self.scale),
2022-05-18T04:54:43.8216954Z 
2022-05-18T04:54:43.8217112Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_qat_conv2d
2022-05-18T04:54:43.8217449Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_qat_conv2d_relu
2022-05-18T04:54:43.8217802Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_qat_conv2d_relu_fused
2022-05-18T04:54:43.8218143Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_qat_linear_per_channel
2022-05-18T04:54:43.8218494Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_qat_maxpool2d
2022-05-18T04:54:43.8218924Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_qat_relu
2022-05-18T04:54:43.8219716Z   /opt/conda/lib/python3.7/site-packages/torch/nn/quantized/modules/__init__.py:54: TracerWarning: Converting a tensor to a Python integer might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:54:43.8220217Z     int(self.zero_point), self.dtype)
2022-05-18T04:54:43.8220349Z 
2022-05-18T04:54:43.8220515Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_repeat_interleave
2022-05-18T04:54:43.8221134Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:5447: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:54:43.8221659Z     repeats = torch.tensor([4])
2022-05-18T04:54:43.8221782Z 
2022-05-18T04:54:43.8221934Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_repeat_interleave
2022-05-18T04:54:43.8222550Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:5455: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:54:43.8223074Z     repeats = torch.tensor([1, 2])
2022-05-18T04:54:43.8223200Z 
2022-05-18T04:54:43.8223424Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_repeat_interleave
2022-05-18T04:54:43.8224041Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:5463: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:54:43.8224540Z     repeats = torch.tensor([1, 2])
2022-05-18T04:54:43.8224665Z 
2022-05-18T04:54:43.8224828Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_resize_images
2022-05-18T04:54:43.8225163Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_roi_heads
2022-05-18T04:54:43.8225495Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_rpn
2022-05-18T04:54:43.8226109Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/utils.py:1522: UserWarning: No names were found for specified dynamic axes of provided input.Automatically generated names will be applied to each dynamic axes of input input1
2022-05-18T04:54:43.8226486Z     key
2022-05-18T04:54:43.8226581Z 
2022-05-18T04:54:43.8226771Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_roi_heads
2022-05-18T04:54:43.8227097Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_rpn
2022-05-18T04:54:43.8227698Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/utils.py:1522: UserWarning: No names were found for specified dynamic axes of provided input.Automatically generated names will be applied to each dynamic axes of input input2
2022-05-18T04:54:43.8228065Z     key
2022-05-18T04:54:43.8228159Z 
2022-05-18T04:54:43.8228314Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_roi_heads
2022-05-18T04:54:43.8228641Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_rpn
2022-05-18T04:54:43.8229240Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/utils.py:1522: UserWarning: No names were found for specified dynamic axes of provided input.Automatically generated names will be applied to each dynamic axes of input input3
2022-05-18T04:54:43.8229618Z     key
2022-05-18T04:54:43.8229715Z 
2022-05-18T04:54:43.8229873Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_roi_heads
2022-05-18T04:54:43.8230182Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_rpn
2022-05-18T04:54:43.8230800Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/utils.py:1522: UserWarning: No names were found for specified dynamic axes of provided input.Automatically generated names will be applied to each dynamic axes of input input4
2022-05-18T04:54:43.8231173Z     key
2022-05-18T04:54:43.8231269Z 
2022-05-18T04:54:43.8231424Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_roi_heads
2022-05-18T04:54:43.8231737Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_rpn
2022-05-18T04:54:43.8232350Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/utils.py:1522: UserWarning: No names were found for specified dynamic axes of provided input.Automatically generated names will be applied to each dynamic axes of input input5
2022-05-18T04:54:43.8232723Z     key
2022-05-18T04:54:43.8232819Z 
2022-05-18T04:54:43.8232977Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_roi_heads
2022-05-18T04:54:43.8233289Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_rpn
2022-05-18T04:54:43.8233906Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/utils.py:1522: UserWarning: No names were found for specified dynamic axes of provided input.Automatically generated names will be applied to each dynamic axes of input input6
2022-05-18T04:54:43.8234275Z     key
2022-05-18T04:54:43.8234370Z 
2022-05-18T04:54:43.8234525Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_roi_heads
2022-05-18T04:54:43.8235295Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:10666: TracerWarning: Iterating over a tensor might cause the trace to be incorrect. Passing a tensor of different shape won't change the number of iterations executed (and might lead to errors or silently give incorrect results).
2022-05-18T04:54:43.8235827Z     (img.shape[-1], img.shape[-2]) for img in images
2022-05-18T04:54:43.8235969Z 
2022-05-18T04:54:43.8236129Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_roi_heads
2022-05-18T04:54:43.8236866Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:10670: TracerWarning: Iterating over a tensor might cause the trace to be incorrect. Passing a tensor of different shape won't change the number of iterations executed (and might lead to errors or silently give incorrect results).
2022-05-18T04:54:43.8237399Z     images, [(i.shape[-1], i.shape[-2]) for i in images]
2022-05-18T04:54:43.8237526Z 
2022-05-18T04:54:43.8237684Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_rpn
2022-05-18T04:54:43.8238447Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:10583: TracerWarning: Iterating over a tensor might cause the trace to be incorrect. Passing a tensor of different shape won't change the number of iterations executed (and might lead to errors or silently give incorrect results).
2022-05-18T04:54:43.8238980Z     images, [(i.shape[-1], i.shape[-2]) for i in images]
2022-05-18T04:54:43.8239120Z 
2022-05-18T04:54:43.8239280Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_scalar_type
2022-05-18T04:54:43.8239883Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:7023: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:54:43.8240403Z     a = torch.tensor([12.0])
2022-05-18T04:54:43.8240522Z 
2022-05-18T04:54:43.8240689Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_sequence_to_bool
2022-05-18T04:54:43.8241322Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:12225: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:54:43.8241871Z     [False for i in range(x.size()[0])], dtype=torch.bool
2022-05-18T04:54:43.8242014Z 
2022-05-18T04:54:43.8242168Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_sequence_to_float
2022-05-18T04:54:43.8242788Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:12213: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:54:43.8243331Z     [1.1 for i in range(x.size()[0])], dtype=torch.float
2022-05-18T04:54:43.8243472Z 
2022-05-18T04:54:43.8243636Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_sequence_to_int
2022-05-18T04:54:43.8244253Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:12202: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:54:43.8244795Z     result = torch.tensor([2 for i in range(x.size()[0])], dtype=torch.int)
2022-05-18T04:54:43.8245012Z 
2022-05-18T04:54:43.8245193Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_shufflenet_v2_dynamic_axes
2022-05-18T04:54:43.8245718Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/utils.py:1515: UserWarning: Provided key output for dynamic axes is not a valid input/output name
2022-05-18T04:54:43.8246020Z     key
2022-05-18T04:54:43.8246113Z 
2022-05-18T04:54:43.8246278Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_shufflenet_v2_dynamic_axes
2022-05-18T04:54:43.8247285Z   /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/shufflenetv2.py:23: UserWarning: __floordiv__ is deprecated, and its behavior will change in a future version of pytorch. It currently rounds toward 0 (like the 'trunc' function NOT 'floor'). This results in incorrect rounding for negative values. To keep the current behavior, use torch.div(a, b, rounding_mode='trunc'), or for actual floor division, use torch.div(a, b, rounding_mode='floor').
2022-05-18T04:54:43.8247905Z     channels_per_group = num_channels // groups
2022-05-18T04:54:43.8248047Z 
2022-05-18T04:54:43.8248216Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_slice_dynamic_to_end
2022-05-18T04:54:43.8248764Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/utils.py:1515: UserWarning: Provided key input_1 for dynamic axes is not a valid input/output name
2022-05-18T04:54:43.8249053Z     key
2022-05-18T04:54:43.8249150Z 
2022-05-18T04:54:43.8249319Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_slice_dynamic_to_end
2022-05-18T04:54:43.8249837Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/utils.py:1515: UserWarning: Provided key output_1 for dynamic axes is not a valid input/output name
2022-05-18T04:54:43.8250120Z     key
2022-05-18T04:54:43.8250280Z 
2022-05-18T04:54:43.8250451Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_split_size_with_slice
2022-05-18T04:54:43.8251089Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/utils.py:1522: UserWarning: No names were found for specified dynamic axes of provided input.Automatically generated names will be applied to each dynamic axes of input t
2022-05-18T04:54:43.8251455Z     key
2022-05-18T04:54:43.8251549Z 
2022-05-18T04:54:43.8251707Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_split_tensor_scalar
2022-05-18T04:54:43.8252486Z   /opt/conda/lib/python3.7/site-packages/torch/_tensor.py:609: TracerWarning: Converting a tensor to a Python integer might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:54:43.8252965Z     split_size = int(split_size)
2022-05-18T04:54:43.8253090Z 
2022-05-18T04:54:43.8253260Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_squeeze_dynamic_dim
2022-05-18T04:54:43.8254060Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:1958: TracerWarning: Converting a tensor to a Python integer might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:54:43.8254617Z     return torch.squeeze(x, dim)
2022-05-18T04:54:43.8254743Z 
2022-05-18T04:54:43.8254926Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_symbolic_shape_inference_arange
2022-05-18T04:54:43.8255895Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:11538: UserWarning: __rfloordiv__ is deprecated, and its behavior will change in a future version of pytorch. It currently rounds toward 0 (like the 'trunc' function NOT 'floor'). This results in incorrect rounding for negative values. To keep the current behavior, use torch.div(a, b, rounding_mode='trunc'), or for actual floor division, use torch.div(a, b, rounding_mode='floor').
2022-05-18T04:54:43.8256562Z     subframe_step = frame_step // subframe_length
2022-05-18T04:54:43.8256703Z 
2022-05-18T04:54:43.8256889Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_symbolic_shape_inference_arange
2022-05-18T04:54:43.8257850Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:11539: UserWarning: __floordiv__ is deprecated, and its behavior will change in a future version of pytorch. It currently rounds toward 0 (like the 'trunc' function NOT 'floor'). This results in incorrect rounding for negative values. To keep the current behavior, use torch.div(a, b, rounding_mode='trunc'), or for actual floor division, use torch.div(a, b, rounding_mode='floor').
2022-05-18T04:54:43.8258451Z     subframes_per_frame = frame_length // subframe_length
2022-05-18T04:54:43.8258599Z 
2022-05-18T04:54:43.8258784Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_symbolic_shape_inference_arange
2022-05-18T04:54:43.8259811Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:11541: UserWarning: __floordiv__ is deprecated, and its behavior will change in a future version of pytorch. It currently rounds toward 0 (like the 'trunc' function NOT 'floor'). This results in incorrect rounding for negative values. To keep the current behavior, use torch.div(a, b, rounding_mode='trunc'), or for actual floor division, use torch.div(a, b, rounding_mode='floor').
2022-05-18T04:54:43.8260415Z     output_subframes = output_size // subframe_length
2022-05-18T04:54:43.8260559Z 
2022-05-18T04:54:43.8260740Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_symbolic_shape_inference_box_if
2022-05-18T04:54:43.8261541Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:11593: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:54:43.8262024Z     if boxes_1.numel() > 3:
2022-05-18T04:54:43.8262141Z 
2022-05-18T04:54:43.8262325Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_symbolic_shape_inference_slice
2022-05-18T04:54:43.8262992Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/utils.py:1522: UserWarning: No names were found for specified dynamic axes of provided input.Automatically generated names will be applied to each dynamic axes of input position_bias
2022-05-18T04:54:43.8263365Z     key
2022-05-18T04:54:43.8263460Z 
2022-05-18T04:54:43.8263642Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_tensor_index_advanced_indexing
2022-05-18T04:54:43.8264270Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2784: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:54:43.8264789Z     torch.tensor([[0, 2], [1, 1]]),
2022-05-18T04:54:43.8264909Z 
2022-05-18T04:54:43.8265092Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_tensor_index_advanced_indexing
2022-05-18T04:54:43.8265704Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2786: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:54:43.8266210Z     torch.tensor([2, 1]),
2022-05-18T04:54:43.8266327Z 
2022-05-18T04:54:43.8266509Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_tensor_index_advanced_indexing
2022-05-18T04:54:43.8267184Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2787: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:54:43.8267690Z     torch.tensor([0, 3]),
2022-05-18T04:54:43.8267791Z 
2022-05-18T04:54:43.8267970Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_tensor_index_advanced_indexing
2022-05-18T04:54:43.8268594Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2796: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:54:43.8269135Z     :, torch.tensor([0, 2]), None, 2:4, torch.tensor([[1, 3], [4, 0]])
2022-05-18T04:54:43.8269283Z 
2022-05-18T04:54:43.8269462Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_tensor_index_advanced_indexing
2022-05-18T04:54:43.8270117Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2805: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:54:43.8270613Z     torch.tensor([0, 2]),
2022-05-18T04:54:43.8270730Z 
2022-05-18T04:54:43.8270907Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_tensor_index_advanced_indexing
2022-05-18T04:54:43.8271523Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2806: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:54:43.8272029Z     torch.tensor([1]),
2022-05-18T04:54:43.8272143Z 
2022-05-18T04:54:43.8272311Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_tensor_index_advanced_indexing
2022-05-18T04:54:43.8272929Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2808: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:54:43.8273437Z     torch.tensor([[1], [4]]),
2022-05-18T04:54:43.8273554Z 
2022-05-18T04:54:43.8273749Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_tensor_index_advanced_indexing_consecutive
2022-05-18T04:54:43.8274387Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2817: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:54:43.8274918Z     :, torch.tensor([0, 2]), torch.tensor([[1, 3], [4, 0]]), None
2022-05-18T04:54:43.8275048Z 
2022-05-18T04:54:43.8275237Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_tensor_index_advanced_indexing_ellipsis
2022-05-18T04:54:43.8275867Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:2774: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:54:43.8276454Z     return input[..., torch.tensor([2, 1]), torch.tensor([0, 3])]
2022-05-18T04:54:43.8276605Z 
2022-05-18T04:54:43.8276781Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_tensordot_dynamic_dim
2022-05-18T04:54:43.8277420Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/utils.py:1522: UserWarning: No names were found for specified dynamic axes of provided input.Automatically generated names will be applied to each dynamic axes of input input_x
2022-05-18T04:54:43.8277798Z     key
2022-05-18T04:54:43.8277892Z 
2022-05-18T04:54:43.8278064Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_tensordot_dynamic_dim
2022-05-18T04:54:43.8278698Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/utils.py:1522: UserWarning: No names were found for specified dynamic axes of provided input.Automatically generated names will be applied to each dynamic axes of input input_y
2022-05-18T04:54:43.8279059Z     key
2022-05-18T04:54:43.8279153Z 
2022-05-18T04:54:43.8279315Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_topk_int32_k
2022-05-18T04:54:43.8280144Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:4060: TracerWarning: Converting a tensor to a Python integer might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:54:43.8280629Z     return torch.topk(x, k)
2022-05-18T04:54:43.8280751Z 
2022-05-18T04:54:43.8280926Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_topk_smallest_unsorted
2022-05-18T04:54:43.8281712Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:4072: TracerWarning: Converting a tensor to a Python integer might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:54:43.8282251Z     topk_unsorted = torch.topk(x, k, largest=False, sorted=False)
2022-05-18T04:54:43.8282409Z 
2022-05-18T04:54:43.8282583Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_topk_smallest_unsorted
2022-05-18T04:54:43.8283379Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:4073: TracerWarning: Converting a tensor to a Python integer might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:54:43.8283901Z     topk_sorted = torch.topk(x, k, largest=False, sorted=True)
2022-05-18T04:54:43.8284039Z 
2022-05-18T04:54:43.8284200Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_trace_script
2022-05-18T04:54:43.8284816Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:8284: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:54:43.8285447Z     return center_slice_helper(input, torch.tensor(input.shape[1] - 1))
2022-05-18T04:54:43.8285614Z 
2022-05-18T04:54:43.8285776Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_trace_script
2022-05-18T04:54:43.8286291Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:8284: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor).
2022-05-18T04:54:43.8286877Z     return center_slice_helper(input, torch.tensor(input.shape[1] - 1))
2022-05-18T04:54:43.8287044Z 
2022-05-18T04:54:43.8287214Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_transformer_encoder
2022-05-18T04:54:43.8288003Z   /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:4995: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:54:43.8288502Z     assert embed_dim == embed_dim_to_check, \
2022-05-18T04:54:43.8288623Z 
2022-05-18T04:54:43.8288793Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_transformer_encoder
2022-05-18T04:54:43.8289575Z   /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:5002: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:54:43.8290246Z     assert head_dim * num_heads == embed_dim, f"embed_dim {embed_dim} not divisible by num_heads {num_heads}"
2022-05-18T04:54:43.8290441Z 
2022-05-18T04:54:43.8290612Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_transformer_encoder
2022-05-18T04:54:43.8291395Z   /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:5008: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:54:43.8291952Z     assert key.shape == value.shape, f"key shape {key.shape} does not match value shape {value.shape}"
2022-05-18T04:54:43.8292150Z 
2022-05-18T04:54:43.8292324Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_transformer_encoder
2022-05-18T04:54:43.8293111Z   /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:4798: TracerWarning: Converting a tensor to a Python float might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:54:43.8293585Z     q = q / math.sqrt(E)
2022-05-18T04:54:43.8293700Z 
2022-05-18T04:54:43.8293842Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_type_as
2022-05-18T04:54:43.8294450Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:7739: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-05-18T04:54:43.8295037Z     y = torch.tensor([1.0])
2022-05-18T04:54:43.8295156Z 
2022-05-18T04:54:43.8295329Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_unfold_dynamic_inputs
2022-05-18T04:54:43.8296135Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:7146: TracerWarning: Converting a tensor to a Python integer might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:54:43.8296713Z     return x.unfold(dimension=2, size=x.shape[1], step=x.shape[1] - 1)
2022-05-18T04:54:43.8296875Z 
2022-05-18T04:54:43.8297048Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_unfold_dynamic_inputs
2022-05-18T04:54:43.8297842Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:7153: TracerWarning: Converting a tensor to a Python integer might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:54:43.8298409Z     return x.unfold(dimension=2, size=x.shape[1], step=1)
2022-05-18T04:54:43.8298558Z 
2022-05-18T04:54:43.8298725Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_uninitialized
2022-05-18T04:54:43.8299498Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:7966: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:54:43.8299967Z     if y.shape[1] < 5:
2022-05-18T04:54:43.8300083Z 
2022-05-18T04:54:43.8300249Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_uninitialized
2022-05-18T04:54:43.8301090Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:7967: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:54:43.8301550Z     if y.size(0) == 1:
2022-05-18T04:54:43.8301659Z 
2022-05-18T04:54:43.8301830Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_uninitialized_dynamic
2022-05-18T04:54:43.8302631Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:7980: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:54:43.8303100Z     if y.shape[1] < 5:
2022-05-18T04:54:43.8303213Z 
2022-05-18T04:54:43.8303384Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_uninitialized_dynamic
2022-05-18T04:54:43.8304167Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:7981: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:54:43.8304632Z     if y.size(0) == 1:
2022-05-18T04:54:43.8304740Z 
2022-05-18T04:54:43.8304915Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_unsqueeze_dynamic_dim
2022-05-18T04:54:43.8305705Z   /var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py:1976: TracerWarning: Converting a tensor to a Python integer might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
2022-05-18T04:54:43.8306194Z     return torch.unsqueeze(x, dim)
2022-05-18T04:54:43.8306311Z 
2022-05-18T04:54:43.8306468Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_view_dynamic
2022-05-18T04:54:43.8307097Z   /opt/conda/lib/python3.7/site-packages/torch/onnx/utils.py:1522: UserWarning: No names were found for specified dynamic axes of provided input.Automatically generated names will be applied to each dynamic axes of input shape
2022-05-18T04:54:43.8307474Z     key
2022-05-18T04:54:43.8307569Z 
2022-05-18T04:54:43.8307740Z test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset16::test_where_with_byte_tensor
2022-05-18T04:54:43.8308548Z   /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:426: UserWarning: where received a uint8 condition tensor. This behavior is deprecated and will be removed in a future version of PyTorch. Use a boolean condition instead. (Triggered internally at  /var/lib/jenkins/workspace/aten/src/ATen/native/TensorCompare.cpp:402.)
2022-05-18T04:54:43.8309100Z     return callable(*args, **kwargs)
2022-05-18T04:54:43.8309228Z 
2022-05-18T04:54:43.8309457Z -- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html
2022-05-18T04:54:43.8309645Z 
2022-05-18T04:54:43.8309852Z ---------- coverage: platform linux, python 3.7.13-final-0 -----------
2022-05-18T04:54:43.8310116Z Coverage XML written to file test/coverage.xml
2022-05-18T04:54:43.8310256Z 
2022-05-18T04:54:43.8310372Z =========================== short test summary info ============================
2022-05-18T04:54:43.8310663Z SKIPPED [1] test/onnx/test_pytorch_common.py:68: Unsupported opset_version: 16 > 13
2022-05-18T04:54:43.8311079Z SKIPPED [1] test/onnx/test_pytorch_common.py:98: Due to ONNX Loop shape inference issue. https://msdata.visualstudio.com/Vienna/_workitems/edit/1352001
2022-05-18T04:54:43.8311467Z SKIPPED [1] test/onnx/test_pytorch_common.py:68: Unsupported opset_version: 16 > 8
2022-05-18T04:54:43.8311827Z SKIPPED [1] test/onnx/test_pytorch_common.py:53: Failing, see https://github.com/pytorch/pytorch/issues/66528
2022-05-18T04:54:43.8312291Z SKIPPED [1] test/onnx/test_pytorch_common.py:53: Unstable loading pretrained quantized mobilenet v3: https://github.com/pytorch/vision/issues/5303
2022-05-18T04:54:43.8312667Z SKIPPED [1] test/onnx/test_pytorch_common.py:53: Unsupported opset_version: 16 > 13
2022-05-18T04:54:43.8312990Z SKIPPED [3] test/onnx/test_pytorch_common.py:68: Unsupported opset_version: 16 > 15
2022-05-18T04:54:43.8313388Z SKIPPED [1] test/onnx/test_pytorch_common.py:53: Bug in ORT, skip test until rel-1.11.
2022-05-18T04:54:43.8313718Z SKIPPED [1] test/onnx/test_pytorch_common.py:68: Unsupported opset_version: 16 > 10
2022-05-18T04:54:43.8314138Z ========== 794 passed, 11 skipped, 1771 warnings in 631.77s (0:10:31) ==========
2022-05-18T04:54:44.3113563Z + '[' -d .coverage ']'
2022-05-18T04:54:44.3184631Z ##[group]Run pytorch/pytorch/.github/actions/get-workflow-job-id@master
2022-05-18T04:54:44.3185097Z with:
2022-05-18T04:54:44.3185519Z   github-token: ***
2022-05-18T04:54:44.3185676Z env:
2022-05-18T04:54:44.3185831Z   IN_CI: 1
2022-05-18T04:54:44.3185991Z   IS_GHA: 1
2022-05-18T04:54:44.3186159Z   GIT_DEFAULT_BRANCH: master
2022-05-18T04:54:44.3186347Z ##[endgroup]
2022-05-18T04:54:44.3213795Z ##[group]Run nick-fields/retry@71062288b76e2b6214ebde0e673ce0de1755740a
2022-05-18T04:54:44.3214028Z with:
2022-05-18T04:54:44.3214174Z   shell: bash
2022-05-18T04:54:44.3214351Z   timeout_minutes: 10
2022-05-18T04:54:44.3214699Z   max_attempts: 5
2022-05-18T04:54:44.3214873Z   retry_wait_seconds: 30
2022-05-18T04:54:44.3215259Z   command: set -x
python3 -m pip install requests==2.26.0
GHA_WORKFLOW_JOB_ID=$(python3 .github/scripts/get_workflow_job_id.py "${GITHUB_RUN_ID}" "${RUNNER_NAME}")
echo "::set-output name=job-id::${GHA_WORKFLOW_JOB_ID}"

2022-05-18T04:54:44.3215691Z   polling_interval_seconds: 1
2022-05-18T04:54:44.3215880Z   warning_on_retry: true
2022-05-18T04:54:44.3216072Z   continue_on_error: false
2022-05-18T04:54:44.3216247Z env:
2022-05-18T04:54:44.3216387Z   IN_CI: 1
2022-05-18T04:54:44.3216547Z   IS_GHA: 1
2022-05-18T04:54:44.3216726Z   GIT_DEFAULT_BRANCH: master
2022-05-18T04:54:44.3217031Z   GITHUB_TOKEN: ***
2022-05-18T04:54:44.3217365Z ##[endgroup]
2022-05-18T04:54:44.6378139Z 
2022-05-18T04:54:44.6426689Z + python3 -m pip install requests==2.26.0
2022-05-18T04:54:45.2842820Z Defaulting to user installation because normal site-packages is not writeable
2022-05-18T04:54:45.3075256Z Requirement already satisfied: requests==2.26.0 in /home/ec2-user/.local/lib/python3.7/site-packages (2.26.0)
2022-05-18T04:54:45.3205002Z Requirement already satisfied: charset-normalizer~=2.0.0; python_version >= "3" in /home/ec2-user/.local/lib/python3.7/site-packages (from requests==2.26.0) (2.0.12)
2022-05-18T04:54:45.3236923Z Requirement already satisfied: urllib3<1.27,>=1.21.1 in /home/ec2-user/.local/lib/python3.7/site-packages (from requests==2.26.0) (1.26.9)
2022-05-18T04:54:45.3394258Z Requirement already satisfied: certifi>=2017.4.17 in /home/ec2-user/.local/lib/python3.7/site-packages (from requests==2.26.0) (2021.10.8)
2022-05-18T04:54:45.3406229Z Requirement already satisfied: idna<4,>=2.5; python_version >= "3" in /home/ec2-user/.local/lib/python3.7/site-packages (from requests==2.26.0) (3.3)
2022-05-18T04:54:45.4155985Z ++ python3 .github/scripts/get_workflow_job_id.py 2342799944 i-05da98e60818e15e5
2022-05-18T04:54:47.2102244Z + GHA_WORKFLOW_JOB_ID=6482532256
2022-05-18T04:54:47.2103146Z + echo '::set-output name=job-id::6482532256'
2022-05-18T04:54:47.6432275Z Command completed after 1 attempt(s).
2022-05-18T04:54:47.6432446Z 
2022-05-18T04:54:47.6572444Z Prepare all required actions
2022-05-18T04:54:47.6572757Z Getting action download info
2022-05-18T04:54:47.8212705Z Download action repository 'actions/upload-artifact@v2' (SHA:82c141cc518b40d92cc801eee768e7aafc9c2fa2)
2022-05-18T04:54:47.9466425Z ##[group]Run ./.github/actions/upload-test-artifacts
2022-05-18T04:54:47.9466650Z with:
2022-05-18T04:54:47.9466876Z   file-suffix: test-default-2-2-linux.2xlarge_6482532256
2022-05-18T04:54:47.9467097Z env:
2022-05-18T04:54:47.9467241Z   IN_CI: 1
2022-05-18T04:54:47.9467400Z   IS_GHA: 1
2022-05-18T04:54:47.9467582Z   GIT_DEFAULT_BRANCH: master
2022-05-18T04:54:47.9467754Z ##[endgroup]
2022-05-18T04:54:47.9488193Z ##[group]Run # Remove any previous test jsons if they exist
2022-05-18T04:54:47.9488475Z # Remove any previous test jsons if they exist
2022-05-18T04:54:47.9488708Z rm -f test-jsons-*.zip
2022-05-18T04:54:47.9488940Z zip -r "test-jsons-${FILE_SUFFIX}.zip" test -i '*.json'
2022-05-18T04:54:47.9500176Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2022-05-18T04:54:47.9500398Z env:
2022-05-18T04:54:47.9500557Z   IN_CI: 1
2022-05-18T04:54:47.9500706Z   IS_GHA: 1
2022-05-18T04:54:47.9500885Z   GIT_DEFAULT_BRANCH: master
2022-05-18T04:54:47.9501133Z   FILE_SUFFIX: test-default-2-2-linux.2xlarge_6482532256
2022-05-18T04:54:47.9501348Z ##[endgroup]
2022-05-18T04:54:47.9668667Z   adding: test/allowlist_for_publicAPI.json (deflated 82%)
2022-05-18T04:54:47.9721796Z   adding: test/benchmark_utils/callgrind_artifacts.json (deflated 92%)
2022-05-18T04:54:47.9738465Z ##[group]Run # Remove any previous test reports if they exist
2022-05-18T04:54:47.9738757Z # Remove any previous test reports if they exist
2022-05-18T04:54:47.9738999Z rm -f test-reports-*.zip
2022-05-18T04:54:47.9739239Z zip -r "test-reports-${FILE_SUFFIX}.zip" test -i '*.xml'
2022-05-18T04:54:47.9749651Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2022-05-18T04:54:47.9749870Z env:
2022-05-18T04:54:47.9750024Z   IN_CI: 1
2022-05-18T04:54:47.9750188Z   IS_GHA: 1
2022-05-18T04:54:47.9750374Z   GIT_DEFAULT_BRANCH: master
2022-05-18T04:54:47.9750609Z   FILE_SUFFIX: test-default-2-2-linux.2xlarge_6482532256
2022-05-18T04:54:47.9750837Z ##[endgroup]
2022-05-18T04:54:47.9841217Z   adding: test/coverage.xml (deflated 93%)
2022-05-18T04:54:47.9870365Z ##[group]Run seemethere/upload-artifact-s3@v4
2022-05-18T04:54:47.9870580Z with:
2022-05-18T04:54:47.9870736Z   retention-days: 14
2022-05-18T04:54:47.9870934Z   if-no-files-found: warn
2022-05-18T04:54:47.9871137Z   path: test-jsons-*.zip
2022-05-18T04:54:47.9871309Z   name: artifact
2022-05-18T04:54:47.9871489Z   s3-bucket: gha-artifacts
2022-05-18T04:54:47.9871677Z   region: us-east-1
2022-05-18T04:54:47.9871831Z env:
2022-05-18T04:54:47.9871982Z   IN_CI: 1
2022-05-18T04:54:47.9872141Z   IS_GHA: 1
2022-05-18T04:54:47.9872305Z   GIT_DEFAULT_BRANCH: master
2022-05-18T04:54:47.9872685Z ##[endgroup]
2022-05-18T04:54:48.3772487Z With the provided path, there will be 1 file uploaded
2022-05-18T04:54:48.3772943Z Uploading to s3 prefix: pytorch/pytorch/2342799944/1/artifact
2022-05-18T04:54:48.3840392Z Starting upload of test-jsons-test-default-2-2-linux.2xlarge_6482532256.zip
2022-05-18T04:54:48.5109897Z Finished upload of test-jsons-test-default-2-2-linux.2xlarge_6482532256.zip
2022-05-18T04:54:48.5255493Z ##[group]Run seemethere/upload-artifact-s3@v4
2022-05-18T04:54:48.5255715Z with:
2022-05-18T04:54:48.5255888Z   retention-days: 14
2022-05-18T04:54:48.5256070Z   if-no-files-found: error
2022-05-18T04:54:48.5256273Z   path: test-reports-*.zip
2022-05-18T04:54:48.5256457Z   name: artifact
2022-05-18T04:54:48.5256625Z   s3-bucket: gha-artifacts
2022-05-18T04:54:48.5256816Z   region: us-east-1
2022-05-18T04:54:48.5256981Z env:
2022-05-18T04:54:48.5257122Z   IN_CI: 1
2022-05-18T04:54:48.5257278Z   IS_GHA: 1
2022-05-18T04:54:48.5257458Z   GIT_DEFAULT_BRANCH: master
2022-05-18T04:54:48.5257628Z ##[endgroup]
2022-05-18T04:54:48.8486186Z With the provided path, there will be 1 file uploaded
2022-05-18T04:54:48.8486726Z Uploading to s3 prefix: pytorch/pytorch/2342799944/1/artifact
2022-05-18T04:54:48.8492814Z Starting upload of test-reports-test-default-2-2-linux.2xlarge_6482532256.zip
2022-05-18T04:54:48.9310672Z Finished upload of test-reports-test-default-2-2-linux.2xlarge_6482532256.zip
2022-05-18T04:54:48.9437362Z ##[group]Run set -x
2022-05-18T04:54:48.9437552Z set -x
2022-05-18T04:54:48.9437774Z python3 -m pip install -r requirements.txt
2022-05-18T04:54:48.9438024Z python3 -m pip install boto3==1.19.12
2022-05-18T04:54:48.9438312Z python3 -m tools.stats.print_test_stats --upload-to-s3 --compare-with-s3 test
2022-05-18T04:54:48.9449392Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2022-05-18T04:54:48.9449611Z env:
2022-05-18T04:54:48.9449769Z   IN_CI: 1
2022-05-18T04:54:48.9449916Z   IS_GHA: 1
2022-05-18T04:54:48.9450181Z   GIT_DEFAULT_BRANCH: master
2022-05-18T04:54:48.9450389Z   AWS_DEFAULT_REGION: us-east-1
2022-05-18T04:54:48.9450566Z   BRANCH: master
2022-05-18T04:54:48.9450803Z   JOB_BASE_NAME: linux-xenial-py3.7-clang7-onnx-test
2022-05-18T04:54:48.9451037Z   TEST_CONFIG: default
2022-05-18T04:54:48.9451202Z   SHARD_NUMBER: 2
2022-05-18T04:54:48.9451430Z   BUILD_ENVIRONMENT: linux-xenial-py3.7-clang7-onnx
2022-05-18T04:54:48.9451689Z   PR_NUMBER: 
2022-05-18T04:54:48.9451882Z   SHA1: 3b2375291aab7b48442f2e6fb1ef66cebc761e24
2022-05-18T04:54:48.9452080Z   TAG: 
2022-05-18T04:54:48.9452245Z   WORKFLOW_ID: 2342799944
2022-05-18T04:54:48.9452547Z   GITHUB_TOKEN: ***
2022-05-18T04:54:48.9452739Z   GHA_WORKFLOW_JOB_ID: 6482532256
2022-05-18T04:54:48.9452926Z ##[endgroup]
2022-05-18T04:54:48.9476934Z + python3 -m pip install -r requirements.txt
2022-05-18T04:54:49.1493984Z Defaulting to user installation because normal site-packages is not writeable
2022-05-18T04:54:49.1726097Z Ignoring dataclasses: markers 'python_version < "3.7"' don't match your environment
2022-05-18T04:54:49.2160564Z Collecting astunparse
2022-05-18T04:54:49.2336064Z   Downloading astunparse-1.6.3-py2.py3-none-any.whl (12 kB)
2022-05-18T04:54:49.2682819Z Collecting expecttest
2022-05-18T04:54:49.2714638Z   Downloading expecttest-0.1.3-py3-none-any.whl (6.5 kB)
2022-05-18T04:54:49.2984240Z Collecting future
2022-05-18T04:54:49.3015725Z   Downloading future-0.18.2.tar.gz (829 kB)
2022-05-18T04:54:50.1067679Z Collecting numpy
2022-05-18T04:54:50.1118801Z   Downloading numpy-1.21.6-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.whl (15.7 MB)
2022-05-18T04:54:50.4937667Z Collecting psutil
2022-05-18T04:54:50.5024489Z   Downloading psutil-5.9.0-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (280 kB)
2022-05-18T04:54:50.5920926Z Collecting pyyaml
2022-05-18T04:54:50.6035817Z   Downloading PyYAML-6.0-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl (596 kB)
2022-05-18T04:54:50.6188583Z Requirement already satisfied: requests in /home/ec2-user/.local/lib/python3.7/site-packages (from -r requirements.txt (line 8)) (2.26.0)
2022-05-18T04:54:50.6303424Z Requirement already satisfied: setuptools in /usr/lib/python3.7/site-packages (from -r requirements.txt (line 9)) (49.1.3)
2022-05-18T04:54:50.6473094Z Requirement already satisfied: six in /home/ec2-user/.local/lib/python3.7/site-packages (from -r requirements.txt (line 10)) (1.16.0)
2022-05-18T04:54:50.6650150Z Collecting types-dataclasses
2022-05-18T04:54:50.6682487Z   Downloading types_dataclasses-0.6.5-py3-none-any.whl (2.8 kB)
2022-05-18T04:54:50.6961117Z Collecting typing_extensions
2022-05-18T04:54:50.6992930Z   Downloading typing_extensions-4.2.0-py3-none-any.whl (24 kB)
2022-05-18T04:54:50.7569498Z Collecting wheel<1.0,>=0.23.0
2022-05-18T04:54:50.7602507Z   Downloading wheel-0.37.1-py2.py3-none-any.whl (35 kB)
2022-05-18T04:54:50.7687124Z Requirement already satisfied: urllib3<1.27,>=1.21.1 in /home/ec2-user/.local/lib/python3.7/site-packages (from requests->-r requirements.txt (line 8)) (1.26.9)
2022-05-18T04:54:50.7828533Z Requirement already satisfied: certifi>=2017.4.17 in /home/ec2-user/.local/lib/python3.7/site-packages (from requests->-r requirements.txt (line 8)) (2021.10.8)
2022-05-18T04:54:50.7835307Z Requirement already satisfied: idna<4,>=2.5; python_version >= "3" in /home/ec2-user/.local/lib/python3.7/site-packages (from requests->-r requirements.txt (line 8)) (3.3)
2022-05-18T04:54:50.7845660Z Requirement already satisfied: charset-normalizer~=2.0.0; python_version >= "3" in /home/ec2-user/.local/lib/python3.7/site-packages (from requests->-r requirements.txt (line 8)) (2.0.12)
2022-05-18T04:54:50.7864942Z Using legacy 'setup.py install' for future, since package 'wheel' is not installed.
2022-05-18T04:54:50.8169077Z Installing collected packages: wheel, astunparse, expecttest, future, numpy, psutil, pyyaml, types-dataclasses, typing-extensions
2022-05-18T04:54:50.8370359Z   WARNING: The script wheel is installed in '/home/ec2-user/.local/bin' which is not on PATH.
2022-05-18T04:54:50.8370835Z   Consider adding this directory to PATH or, if you prefer to suppress this warning, use --no-warn-script-location.
2022-05-18T04:54:50.8600564Z     Running setup.py install for future: started
2022-05-18T04:54:51.3272523Z     Running setup.py install for future: finished with status 'done'
2022-05-18T04:54:52.8543763Z   WARNING: The scripts f2py, f2py3 and f2py3.7 are installed in '/home/ec2-user/.local/bin' which is not on PATH.
2022-05-18T04:54:52.8544296Z   Consider adding this directory to PATH or, if you prefer to suppress this warning, use --no-warn-script-location.
2022-05-18T04:54:53.0411762Z Successfully installed astunparse-1.6.3 expecttest-0.1.3 future-0.18.2 numpy-1.21.6 psutil-5.9.0 pyyaml-6.0 types-dataclasses-0.6.5 typing-extensions-4.2.0 wheel-0.37.1
2022-05-18T04:54:53.1025569Z + python3 -m pip install boto3==1.19.12
2022-05-18T04:54:53.3056063Z Defaulting to user installation because normal site-packages is not writeable
2022-05-18T04:54:53.8529677Z Collecting boto3==1.19.12
2022-05-18T04:54:53.8654727Z   Downloading boto3-1.19.12-py3-none-any.whl (131 kB)
2022-05-18T04:54:54.5175705Z Collecting botocore<1.23.0,>=1.22.12
2022-05-18T04:54:54.5219304Z   Downloading botocore-1.22.12-py3-none-any.whl (8.1 MB)
2022-05-18T04:54:54.6382457Z Requirement already satisfied: jmespath<1.0.0,>=0.7.1 in /home/ec2-user/.local/lib/python3.7/site-packages (from boto3==1.19.12) (0.10.0)
2022-05-18T04:54:54.6596176Z Collecting s3transfer<0.6.0,>=0.5.0
2022-05-18T04:54:54.6629084Z   Downloading s3transfer-0.5.2-py3-none-any.whl (79 kB)
2022-05-18T04:54:54.6699189Z Requirement already satisfied: python-dateutil<3.0.0,>=2.1 in /home/ec2-user/.local/lib/python3.7/site-packages (from botocore<1.23.0,>=1.22.12->boto3==1.19.12) (2.8.2)
2022-05-18T04:54:54.6718769Z Requirement already satisfied: urllib3<1.27,>=1.25.4 in /home/ec2-user/.local/lib/python3.7/site-packages (from botocore<1.23.0,>=1.22.12->boto3==1.19.12) (1.26.9)
2022-05-18T04:54:54.6863471Z Requirement already satisfied: six>=1.5 in /home/ec2-user/.local/lib/python3.7/site-packages (from python-dateutil<3.0.0,>=2.1->botocore<1.23.0,>=1.22.12->boto3==1.19.12) (1.16.0)
2022-05-18T04:54:54.7464011Z Installing collected packages: botocore, s3transfer, boto3
2022-05-18T04:54:54.7464344Z   Attempting uninstall: botocore
2022-05-18T04:54:54.7466595Z     Found existing installation: botocore 1.19.63
2022-05-18T04:54:54.8085685Z     Uninstalling botocore-1.19.63:
2022-05-18T04:54:54.8216373Z       Successfully uninstalled botocore-1.19.63
2022-05-18T04:54:55.3229428Z   Attempting uninstall: s3transfer
2022-05-18T04:54:55.3230904Z     Found existing installation: s3transfer 0.3.7
2022-05-18T04:54:55.3275792Z     Uninstalling s3transfer-0.3.7:
2022-05-18T04:54:55.3281025Z       Successfully uninstalled s3transfer-0.3.7
2022-05-18T04:54:55.3644391Z   Attempting uninstall: boto3
2022-05-18T04:54:55.3645742Z     Found existing installation: boto3 1.16.34
2022-05-18T04:54:55.3759796Z     Uninstalling boto3-1.16.34:
2022-05-18T04:54:55.3773606Z       Successfully uninstalled boto3-1.16.34
2022-05-18T04:54:55.4270335Z Successfully installed boto3-1.19.12 botocore-1.22.12 s3transfer-0.5.2
2022-05-18T04:54:55.4702821Z + python3 -m tools.stats.print_test_stats --upload-to-s3 --compare-with-s3 test
2022-05-18T04:54:55.8020561Z No tests in reports found in test
2022-05-18T04:54:55.8553452Z Prepare all required actions
2022-05-18T04:54:55.8570477Z ##[group]Run ./.github/actions/teardown-linux
2022-05-18T04:54:55.8570669Z with:
2022-05-18T04:54:55.8570820Z env:
2022-05-18T04:54:55.8570974Z   IN_CI: 1
2022-05-18T04:54:55.8571119Z   IS_GHA: 1
2022-05-18T04:54:55.8571298Z   GIT_DEFAULT_BRANCH: master
2022-05-18T04:54:55.8571481Z ##[endgroup]
2022-05-18T04:54:55.8587517Z ##[group]Run .github/scripts/wait_for_ssh_to_drain.sh
2022-05-18T04:54:55.8587779Z .github/scripts/wait_for_ssh_to_drain.sh
2022-05-18T04:54:55.8598478Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2022-05-18T04:54:55.8598687Z env:
2022-05-18T04:54:55.8598843Z   IN_CI: 1
2022-05-18T04:54:55.8599004Z   IS_GHA: 1
2022-05-18T04:54:55.8599171Z   GIT_DEFAULT_BRANCH: master
2022-05-18T04:54:55.8599355Z ##[endgroup]
2022-05-18T04:54:55.8660372Z Holding runner for 2 hours until all ssh sessions have logged out
2022-05-18T04:54:55.8741218Z ##[group]Run # ignore expansion of "docker ps -q" since it could be empty
2022-05-18T04:54:55.8741529Z # ignore expansion of "docker ps -q" since it could be empty
2022-05-18T04:54:55.8741776Z # shellcheck disable=SC2046
2022-05-18T04:54:55.8742001Z docker stop $(docker ps -q) || true
2022-05-18T04:54:55.8742213Z # Prune all of the docker images
2022-05-18T04:54:55.8742425Z docker system prune -af
2022-05-18T04:54:55.8752483Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2022-05-18T04:54:55.8752686Z env:
2022-05-18T04:54:55.8752840Z   IN_CI: 1
2022-05-18T04:54:55.8752998Z   IS_GHA: 1
2022-05-18T04:54:55.8753164Z   GIT_DEFAULT_BRANCH: master
2022-05-18T04:54:55.8753344Z ##[endgroup]
2022-05-18T04:54:56.5048274Z c9d56877cbc4
2022-05-18T04:54:57.0975726Z Deleted Containers:
2022-05-18T04:54:57.0976257Z c9d56877cbc4a8acce63a7496a0596d93cdcb74ec5318b0cbbccbf401a1029e6
2022-05-18T04:54:57.0976448Z 
2022-05-18T04:54:58.8844852Z Deleted Images:
2022-05-18T04:54:58.8845725Z untagged: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-xenial-py3-clang7-onnx:6deab82db6a72ca54cd3e3322ee4f13864536734
2022-05-18T04:54:58.8846743Z untagged: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-xenial-py3-clang7-onnx@sha256:f0635c9b511406df7a81da39cad50a8f06640f1c0550e4f7a93071523ad2effb
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2022-05-18T04:54:58.8867753Z 
2022-05-18T04:54:58.8867855Z Total reclaimed space: 6.425GB
2022-05-18T04:54:58.8928470Z Post job cleanup.
2022-05-18T04:54:58.8967142Z Post job cleanup.
2022-05-18T04:54:59.3777559Z [command]/usr/bin/git version
2022-05-18T04:54:59.4107586Z git version 2.32.0
2022-05-18T04:54:59.4198442Z Temporarily overriding HOME='/home/ec2-user/actions-runner/_work/_temp/3d326f04-19de-4842-bfc2-7e9d0d05768e' before making global git config changes
2022-05-18T04:54:59.4199150Z Adding repository directory to the temporary git global config as a safe directory
2022-05-18T04:54:59.4205713Z [command]/usr/bin/git config --global --add safe.directory /home/ec2-user/actions-runner/_work/pytorch/pytorch
2022-05-18T04:54:59.4266866Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand
2022-05-18T04:54:59.4299879Z [command]/usr/bin/git submodule foreach --recursive git config --local --name-only --get-regexp 'core\.sshCommand' && git config --local --unset-all 'core.sshCommand' || :
2022-05-18T04:54:59.4744588Z Entering 'android/libs/fbjni'
2022-05-18T04:54:59.4799479Z Entering 'third_party/FP16'
2022-05-18T04:54:59.4850602Z Entering 'third_party/FXdiv'
2022-05-18T04:54:59.4910109Z Entering 'third_party/NNPACK'
2022-05-18T04:54:59.4964604Z Entering 'third_party/QNNPACK'
2022-05-18T04:54:59.5016319Z Entering 'third_party/XNNPACK'
2022-05-18T04:54:59.5130512Z Entering 'third_party/benchmark'
2022-05-18T04:54:59.5182543Z Entering 'third_party/cpuinfo'
2022-05-18T04:54:59.5237979Z Entering 'third_party/cub'
2022-05-18T04:54:59.5293236Z Entering 'third_party/cudnn_frontend'
2022-05-18T04:54:59.5370099Z Entering 'third_party/eigen'
2022-05-18T04:54:59.5441248Z Entering 'third_party/fbgemm'
2022-05-18T04:54:59.5498478Z Entering 'third_party/fbgemm/third_party/asmjit'
2022-05-18T04:54:59.5559029Z Entering 'third_party/fbgemm/third_party/cpuinfo'
2022-05-18T04:54:59.5612178Z Entering 'third_party/fbgemm/third_party/googletest'
2022-05-18T04:54:59.5668714Z Entering 'third_party/flatbuffers'
2022-05-18T04:54:59.5731913Z Entering 'third_party/fmt'
2022-05-18T04:54:59.5791376Z Entering 'third_party/foxi'
2022-05-18T04:54:59.5845711Z Entering 'third_party/gemmlowp/gemmlowp'
2022-05-18T04:54:59.5900594Z Entering 'third_party/gloo'
2022-05-18T04:54:59.5954392Z Entering 'third_party/googletest'
2022-05-18T04:54:59.6011677Z Entering 'third_party/ideep'
2022-05-18T04:54:59.6074958Z Entering 'third_party/ideep/mkl-dnn'
2022-05-18T04:54:59.6157586Z Entering 'third_party/ideep/mkl-dnn/third_party/oneDNN'
2022-05-18T04:54:59.6248709Z Entering 'third_party/ios-cmake'
2022-05-18T04:54:59.6303974Z Entering 'third_party/kineto'
2022-05-18T04:54:59.6370451Z Entering 'third_party/kineto/libkineto/third_party/fmt'
2022-05-18T04:54:59.6433928Z Entering 'third_party/kineto/libkineto/third_party/googletest'
2022-05-18T04:54:59.6491637Z Entering 'third_party/nccl/nccl'
2022-05-18T04:54:59.6554821Z Entering 'third_party/neon2sse'
2022-05-18T04:54:59.6608380Z Entering 'third_party/onnx'
2022-05-18T04:54:59.6714998Z Entering 'third_party/onnx/third_party/benchmark'
2022-05-18T04:54:59.6779925Z Entering 'third_party/onnx/third_party/pybind11'
2022-05-18T04:54:59.6838891Z Entering 'third_party/onnx-tensorrt'
2022-05-18T04:54:59.6897916Z Entering 'third_party/onnx-tensorrt/third_party/onnx'
2022-05-18T04:54:59.6993471Z Entering 'third_party/onnx-tensorrt/third_party/onnx/third_party/benchmark'
2022-05-18T04:54:59.7057945Z Entering 'third_party/onnx-tensorrt/third_party/onnx/third_party/pybind11'
2022-05-18T04:54:59.7115408Z Entering 'third_party/onnx-tensorrt/third_party/onnx/third_party/pybind11/tools/clang'
2022-05-18T04:54:59.7172183Z Entering 'third_party/pocketfft'
2022-05-18T04:54:59.7222235Z Entering 'third_party/protobuf'
2022-05-18T04:54:59.7330229Z Entering 'third_party/protobuf/third_party/benchmark'
2022-05-18T04:54:59.7386398Z Entering 'third_party/protobuf/third_party/googletest'
2022-05-18T04:54:59.7442544Z Entering 'third_party/psimd'
2022-05-18T04:54:59.7500931Z Entering 'third_party/pthreadpool'
2022-05-18T04:54:59.7556919Z Entering 'third_party/pybind11'
2022-05-18T04:54:59.7612873Z Entering 'third_party/python-enum'
2022-05-18T04:54:59.7668855Z Entering 'third_party/python-peachpy'
2022-05-18T04:54:59.7726329Z Entering 'third_party/python-six'
2022-05-18T04:54:59.7784601Z Entering 'third_party/sleef'
2022-05-18T04:54:59.7843075Z Entering 'third_party/tbb'
2022-05-18T04:54:59.7909336Z Entering 'third_party/tensorpipe'
2022-05-18T04:54:59.7965861Z Entering 'third_party/tensorpipe/third_party/googletest'
2022-05-18T04:54:59.8022808Z Entering 'third_party/tensorpipe/third_party/libnop'
2022-05-18T04:54:59.8075786Z Entering 'third_party/tensorpipe/third_party/libuv'
2022-05-18T04:54:59.8133920Z Entering 'third_party/tensorpipe/third_party/pybind11'
2022-05-18T04:54:59.8189560Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang'
2022-05-18T04:54:59.8246671Z Entering 'third_party/zstd'
2022-05-18T04:54:59.8317382Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader
2022-05-18T04:54:59.8344631Z http.https://github.com/.extraheader
2022-05-18T04:54:59.8352641Z [command]/usr/bin/git config --local --unset-all http.https://github.com/.extraheader
2022-05-18T04:54:59.8385242Z [command]/usr/bin/git submodule foreach --recursive git config --local --name-only --get-regexp 'http\.https\:\/\/github\.com\/\.extraheader' && git config --local --unset-all 'http.https://github.com/.extraheader' || :
2022-05-18T04:54:59.8639267Z Entering 'android/libs/fbjni'
2022-05-18T04:54:59.8658588Z http.https://github.com/.extraheader
2022-05-18T04:54:59.8684518Z Entering 'third_party/FP16'
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